Fullstack Engineer (.NET & Angular) with Data & AI expertise

🏢 Summary: Contract role for a senior engineer to rebuild a 401(k) plan administration platform from scratch with an AI-native foundation. The position involves end-to-end ownership of architecture and delivery across AWS infrastructure, Kotlin backend, and TypeScript frontend in close collaboration with US-based stakeholders. You will shape system design decisions and implement core financial domain logic in a greenfield environment. 🗂️ Requirements: 7+ years professional software engineering experience, Strong JVM backend experience (Kotlin, Java, or Scala) in production, Hands-on TypeScript frontend experience (React, Angular, or similar), Production experience with AWS and cloud infrastructure design, Experience designing non-trivial system architectures, IaC experience (Pulumi, Terraform, or CDK), Experience in regulated or transactional domains (fintech, payments, healthcare, insurance, ERP, billing), Ability to work with US East Coast time overlap, Fluent English, Experience using AI coding tools in daily workflow 📃 Skills: Kotlin, Java, Scala, TypeScript, React, Angular, AWS, VPC, IAM, RDS, Lambda, ECS, Pulumi, Terraform, CDK, Claude, Cursor, CI/CD, Python 🏢 Description: Vecten | Client: US-based, retirement plan administration | Remote (Poland-based) | Contract / B2B We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. - Financial Platform Rebuild - You'd be joining a small, senior team rebuilding a 401(k) plan administration platform from the ground up. The existing system was built and operated by a third party; the client is taking ownership and rebuilding it greenfield with a strong AI-native foundation. This is not a ticket-taking role. You'll sit in product conversations with business users, push back on requirements, propose architectural directions, and own end-to-end delivery from infrastructure to UI. The client is US-based with engineers on both coasts. Working hours need meaningful overlap with US East Coast (afternoon CET works well). What you'd be doing Designing and building the core platform: event processing for money math, plan configuration, eligibility rules, and the supporting services around them. Owning vertical slices end-to-end – AWS infrastructure, Kotlin backend, TypeScript frontend. Acting as a thought partner on architecture decisions still being made (IaC choice, service boundaries, data model). Interviewing internal subject-matter experts to translate domain knowledge into working software. Setting the bar for AI-native engineering practices – how the team uses Claude Code, Cursor, agents, and what good looks like. Logistics Engagement model: Contract via Vecten (B2B), initial 3–6 month commitment with strong likelihood of extension. Hardware: Vecten provides a managed, secured environment. Interview process: Vecten internal screen → tech screen with the client's tech lead → live coding session (likely screen-share, AI-assisted format) → culture call. Start: Ideally within 2–4 weeks. Must-have 7+ years of professional software engineering experience , with a meaningful track record of senior or staff-level work. Strong backend engineering on the JVM – Kotlin, Java, or Scala in production. Kotlin experience preferred; if you have strong Java/Scala and have shipped Kotlin on a side project, that works. Solid TypeScript on the frontend – React, Angular, or similar, enough to own UI slices without needing a dedicated frontend pair. Solid cloud infrastructure fundamentals – you've reasoned about networking, IAM, compute, and managed services for real systems and can defend the trade-offs. Architecture chops – you've designed non-trivial systems, can defend trade-offs, and are comfortable disagreeing when you think someone's wrong. English fluency – you'll be talking to business users and engineers daily. Strongly preferred AI-native fluency – you actively use Claude Code, Cursor, or equivalent agents in your daily workflow. You can talk specifically about what you delegate, what you don't, and why. AWS in production – not just "deployed something once". Deep familiarity with VPCs, IAM, RDS, Lambda/ECS trade-offs on real workloads. IaC experience – Pulumi, Terraform, or CDK. Background in regulated or transactional domains – fintech, payments, healthcare, insurance, ERP, billing systems. Anything where audit trails, eligibility rules, and money math matter. Comfort working in greenfield ambiguity – you've been the second or third engineer on a platform before and know how to make progress when half the decisions aren't made yet. Nice to have Direct retirement / pensions / 401(k) experience – the unicorn profile. If you have it, lead with it. DevOps depth – you've owned CI/CD pipelines, observability stacks, and on-call rotations. Python data-stack background – likely to become relevant as analytics and reporting work comes online. What we're not asking for A specific number of years on Kotlin, AWS, or any one tool. We care about depth of judgment, not box-ticking. Front-end specialisation. You don't need to debate React Server Components – you need to ship working UI. Big-bank or HFT pedigree. This is retirement plan administration, not trading. Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

🏢 Summary: Contract B2B role for a senior engineer to rebuild a 401(k) retirement plan administration platform from scratch with an AI-native foundation, owning end-to-end delivery across AWS infrastructure, JVM backend, and TypeScript frontend. The position involves architectural decision-making, close collaboration with US-based stakeholders, and translating complex financial domain rules into scalable software. Strong emphasis on AI-assisted engineering practices and greenfield system design in a regulated, transactional environment. 🗂️ Requirements: 7+ years professional software engineering experience, Senior or staff-level system design experience, Strong JVM backend experience (Kotlin, Java, or Scala), Solid TypeScript frontend experience (React, Angular, or similar), Production experience with AWS, Deep understanding of VPCs, IAM, RDS, Lambda or ECS, Experience with Infrastructure as Code (Pulumi, Terraform, or CDK), Experience designing non-trivial distributed systems, Fluent English, Experience in regulated or transactional domains, Ability to work with US East Coast time overlap 📃 Skills: Kotlin, Java, Scala, TypeScript, React, Angular, AWS, VPC, IAM, RDS, Lambda, ECS, Pulumi, Terraform, CDK, Claude, Cursor, CI/CD, Python 🏢 Description: Vecten | Client: US-based, retirement plan administration | Remote (Poland-based) | Contract / B2B We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. - Financial Platform Rebuild - You'd be joining a small, senior team rebuilding a 401(k) plan administration platform from the ground up. The existing system was built and operated by a third party; the client is taking ownership and rebuilding it greenfield with a strong AI-native foundation. This is not a ticket-taking role. You'll sit in product conversations with business users, push back on requirements, propose architectural directions, and own end-to-end delivery from infrastructure to UI. The client is US-based with engineers on both coasts. Working hours need meaningful overlap with US East Coast (afternoon CET works well). What you'd be doing Designing and building the core platform: event processing for money math, plan configuration, eligibility rules, and the supporting services around them. Owning vertical slices end-to-end – AWS infrastructure, Kotlin backend, TypeScript frontend. Acting as a thought partner on architecture decisions still being made (IaC choice, service boundaries, data model). Interviewing internal subject-matter experts to translate domain knowledge into working software. Setting the bar for AI-native engineering practices – how the team uses Claude Code, Cursor, agents, and what good looks like. Logistics Engagement model: Contract via Vecten (B2B), initial 3–6 month commitment with strong likelihood of extension. Hardware: Vecten provides a managed, secured environment. Interview process: Vecten internal screen → tech screen with the client's tech lead → live coding session (likely screen-share, AI-assisted format) → culture call. Start: Ideally within 2–4 weeks. Must-have 7+ years of professional software engineering experience , with a meaningful track record of senior or staff-level work. Strong backend engineering on the JVM – Kotlin, Java, or Scala in production. Kotlin experience preferred; if you have strong Java/Scala and have shipped Kotlin on a side project, that works. Solid TypeScript on the frontend – React, Angular, or similar, enough to own UI slices without needing a dedicated frontend pair. Solid cloud infrastructure fundamentals – you've reasoned about networking, IAM, compute, and managed services for real systems and can defend the trade-offs. Architecture chops – you've designed non-trivial systems, can defend trade-offs, and are comfortable disagreeing when you think someone's wrong. English fluency – you'll be talking to business users and engineers daily. Strongly preferred AI-native fluency – you actively use Claude Code, Cursor, or equivalent agents in your daily workflow. You can talk specifically about what you delegate, what you don't, and why. AWS in production – not just "deployed something once". Deep familiarity with VPCs, IAM, RDS, Lambda/ECS trade-offs on real workloads. IaC experience – Pulumi, Terraform, or CDK. Background in regulated or transactional domains – fintech, payments, healthcare, insurance, ERP, billing systems. Anything where audit trails, eligibility rules, and money math matter. Comfort working in greenfield ambiguity – you've been the second or third engineer on a platform before and know how to make progress when half the decisions aren't made yet. Nice to have Direct retirement / pensions / 401(k) experience – the unicorn profile. If you have it, lead with it. DevOps depth – you've owned CI/CD pipelines, observability stacks, and on-call rotations. Python data-stack background – likely to become relevant as analytics and reporting work comes online. What we're not asking for A specific number of years on Kotlin, AWS, or any one tool. We care about depth of judgment, not box-ticking. Front-end specialisation. You don't need to debate React Server Components – you need to ship working UI. Big-bank or HFT pedigree. This is retirement plan administration, not trading. Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

🏢 Summary: Data Engineer role focused on designing and scaling data infrastructure, ETL pipelines, and Lakehouse architecture for a manufacturing environment supporting analytics and AI workloads. The position involves building operational data systems, ensuring data quality, and integrating industrial and manufacturing data sources. Candidates will collaborate cross-functionally and help establish scalable data architecture standards for future facility growth. 🗂️ Requirements: 8+ years of data engineering or data infrastructure experience, Experience designing data lakes or Lakehouse platforms, Experience building ETL/ELT pipelines, Strong data modeling expertise, Experience with relational databases, Strong SQL skills, Ability to document architecture and technical decisions, Experience collaborating with technical and non-technical stakeholders, U.S. Person status for export-controlled access 📃 Skills: SQL, PostgreSQL, SQLServer, ETL, ELT, Lakehouse, Python, Airflow, Prefect, dbt, InfluxDB, TimescaleDB, MQTT, DeltaLake, ApacheIceberg, AWS, Azure, GCP 🏢 Description: Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive, powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence, and Transparency. As the Data Engineer, you will design and build the data infrastructure that makes Vulcan's operational and business data useful — first at pilot scale, and then as the foundation for a 10,000 ton/year facility. You will work from architecture to implementation: evaluating and selecting platforms, designing data models and pipelines, and building the systems that collect, contextualize, and deliver data to the teams and tools that depend on it. You will collaborate closely with cross-functional stakeholders to translate operational requirements into a durable, scalable data architecture. As Vulcan grows, this role has the opportunity to expand into a team leadership position. Responsibilities Architecture & Platform Design - Design and own Vulcan's data architecture from operational data stores through ETL pipelines to the analytics and AI layer - Evaluate and select platforms for the data Lakehouse, ETL tooling, and operational databases, weighing scalability, compliance requirements, operational burden, and cost - Review, refine, and implement data architecture design documents, ensuring designs are technically sound and account for CUI and ITAR data handling requirements - Make and document key platform and design decisions with enough clarity that future team members can understand the reasoning and build on it - Ensure the architecture scales from pilot plant to full-scale facility without fundamental redesign - Apply sound engineering practices to everything you build: version control, testing, observability, and documentation, and hold those standards as the data team grows Data Pipeline & Integration - Design and build ETL pipelines that move data from operational data stores into the data Lakehouse with full contextual enrichment, making it ready for analytics and AI workloads - Build reliable ingest paths for structured data, time-series data, files, images, and other outputs from manufacturing and lab systems - Collaborate across engineering, operations, and IT to understand data flows, dependencies, and integration requirements, and translate them into pipeline and architecture decisions - Identify and eliminate manual data workflows, replacing them with monitored, reliable pipelines - Diagnose and resolve data quality issues across the stack, and build monitoring into pipelines so problems surface early Data Modeling & Quality - Define data models that support operational queries, analytical workloads, and future AI and ML applications - Own data contextualization standards ensuring every data point carries the metadata needed to make it meaningful - Contribute to schema design and payload definitions for operational data stores, working toward consistency and legibility across the organization - Support the development of reporting and visibility tools that give operations and leadership clear insight into process and quality data - Write clear technical documentation for architecture decisions, data models, pipeline designs, and operational runbooks Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business. Qualifications - 8+ years of experience in data engineering, data infrastructure, or a closely related technical role with a track record of owning and delivering production systems - Demonstrated experience designing and building data lakes, Lakehouses, or analytical data stores; understands the tradeoffs between platforms and can make and defend platform selection decisions - Strong experience designing and building ETL/ELT pipelines that enrich and contextualize data - Deep fluency with data modeling for both operational and analytical workloads; can design schemas that serve present needs without foreclosing future ones - Experience with relational databases (PostgreSQL, SQL Server, or similar); writes and debugs SQL confidently - Comfortable working in a fast-moving environment with a small team, making decisions with incomplete information and documenting them clearly for future colleagues - Strong communicator who can work across technical and non-technical stakeholders and translate between operational requirements and data architecture decisions - Must be a U.S. Person due to required access to U.S. export-controlled information or facilities Desired Skills - Experience with time-series databases (InfluxDB, TimescaleDB, or similar) common in industrial and IoT environments - Familiarity with industrial data concepts — historian data, process tags, OT/IT integration — and the data challenges specific to manufacturing environments - Experience working on or alongside a Unified Namespace or MQTT-based data architecture; understands how industrial messaging infrastructure relates to the data layer - Familiarity with data Lakehouse platforms and open table formats (Delta Lake, Apache Iceberg, or similar) - Experience with ETL orchestration tooling (Airflow, Prefect, dbt, or similar) - Comfort with scripting and lightweight development (Python, SQL, or similar) for pipeline development and data quality tooling - Familiarity with cloud platforms (AWS, Azure, or GCP) and experience evaluating on-premises vs. cloud tradeoffs for data infrastructure - Experience working in a controlled information environment; familiarity with the handling requirements for Controlled Unclassified Information (CUI) or export-controlled technical data under ITAR or EAR - Experience in a manufacturing, industrial, or operations-heavy environment

🏢 Summary: Data Engineer role focused on designing and scaling data infrastructure, ETL pipelines, and Lakehouse architecture for manufacturing operations supporting analytics and AI workloads. The position involves building reliable industrial data systems, defining data models, and collaborating across engineering and operations teams in a secure, compliance-driven environment. There is potential for future leadership responsibilities as the organization grows. 🗂️ Requirements: 8+ years of experience in data engineering or data infrastructure, Experience designing and building data lakes or Lakehouse platforms, Experience building ETL/ELT pipelines, Strong data modeling experience for operational and analytical workloads, Experience with relational databases, Strong SQL skills, Ability to work in fast-moving environments with small teams, Ability to communicate across technical and non-technical stakeholders, U.S. Person status for access to export-controlled information 📃 Skills: PostgreSQL, SQLServer, SQL, ETL, ELT, Lakehouse, Python, InfluxDB, TimescaleDB, MQTT, DeltaLake, Iceberg, Airflow, Prefect, dbt, AWS, Azure, GCP 🏢 Description: Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, the company serves critical industries such as defense, aerospace, and automotive. As the Data Engineer, you will design and build the data infrastructure that makes operational and business data useful — first at pilot scale, and then as the foundation for a 10,000 ton/year facility. You will work from architecture to implementation: evaluating and selecting platforms, designing data models and pipelines, and building the systems that collect, contextualize, and deliver data to the teams and tools that depend on it. You will collaborate closely with cross-functional stakeholders to translate operational requirements into a durable, scalable data architecture. As the organization grows, this role has the opportunity to expand into a team leadership position. Responsibilities Architecture & Platform Design - Design and own data architecture from operational data stores through ETL pipelines to the analytics and AI layer - Evaluate and select platforms for the data Lakehouse, ETL tooling, and operational databases, weighing scalability, compliance requirements, operational burden, and cost - Review, refine, and implement data architecture design documents, ensuring designs are technically sound and account for CUI and ITAR data handling requirements - Make and document key platform and design decisions with enough clarity that future team members can understand the reasoning and build on it - Ensure the architecture scales from pilot plant to full-scale facility without fundamental redesign - Apply sound engineering practices to everything you build: version control, testing, observability, and documentation, and hold those standards as the data team grows Data Pipeline & Integration - Design and build ETL pipelines that move data from operational data stores into the data Lakehouse with full contextual enrichment, making it ready for analytics and AI workloads - Build reliable ingest paths for structured data, time-series data, files, images, and other outputs from manufacturing and lab systems - Collaborate across engineering, operations, and IT to understand data flows, dependencies, and integration requirements, and translate them into pipeline and architecture decisions - Identify and eliminate manual data workflows, replacing them with monitored, reliable pipelines - Diagnose and resolve data quality issues across the stack, and build monitoring into pipelines so problems surface early Data Modeling & Quality - Define data models that support operational queries, analytical workloads, and future AI and ML applications - Own data contextualization standards ensuring every data point carries the metadata needed to make it meaningful - Contribute to schema design and payload definitions for operational data stores, working toward consistency and legibility across the organization - Support the development of reporting and visibility tools that give operations and leadership clear insight into process and quality data - Write clear technical documentation for architecture decisions, data models, pipeline designs, and operational runbooks Responsibilities and tasks outlined are not exhaustive and may change as determined by business needs. Qualifications - 8+ years of experience in data engineering, data infrastructure, or a closely related technical role with a track record of owning and delivering production systems - Demonstrated experience designing and building data lakes, Lakehouses, or analytical data stores; understands the tradeoffs between platforms and can make and defend platform selection decisions - Strong experience designing and building ETL/ELT pipelines that enrich and contextualize data - Deep fluency with data modeling for both operational and analytical workloads - Experience with relational databases (PostgreSQL, SQL Server, or similar) - Writes and debugs SQL confidently - Comfortable working in a fast-moving environment with a small team - Strong communicator able to work across technical and non-technical stakeholders - Must be a U.S. Person due to required access to U.S. export-controlled information or facilities Desired Skills - Experience with time-series databases (InfluxDB, TimescaleDB, or similar) - Familiarity with industrial data concepts including historian data, process tags, and OT/IT integration - Experience with Unified Namespace or MQTT-based data architecture - Familiarity with data Lakehouse platforms and open table formats (Delta Lake, Apache Iceberg, or similar) - Experience with ETL orchestration tooling (Airflow, Prefect, dbt, or similar) - Comfort with scripting and lightweight development (Python, SQL, or similar) - Familiarity with cloud platforms (AWS, Azure, or GCP) - Experience working in controlled information environments with CUI, ITAR, or EAR requirements - Experience in manufacturing, industrial, or operations-heavy environments

🏢 Summary: Design and build a modern Data Platform from scratch for an insurance client, establishing a governed, production-ready Snowflake environment and enabling AI capabilities. The role covers full lifecycle ownership from architecture and data modelling to pipeline implementation and post-launch operations. You will develop scalable data ingestion and processing solutions while promoting best practices, automation, and CI/CD standards. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (Snowflake, BigQuery or Redshift), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design, Experience with cloud platforms (AWS, GCP or Azure), Experience with cloud data services (S3, GCS, ABS, EMR, Dataproc, MWAA, Composer, ADF or AWS Glue), Ability to design and maintain data quality and governance standards, Experience working in Agile environments 📃 Skills: Python, SQL, Snowflake, Databricks, BigQuery, Redshift, Azure, AWS, GCP, Terraform, dbt, Spark, PowerBI, ADF, Glue, EMR, Dataproc, MWAA, Composer 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project JetBrains Projectt scope The client is introducing Atlan as a new internal Data Catalogue solution and uses Glean as a company-wide unified search platform for thousands of employees. To ensure a smooth transition from our existing Knowledge Base and OpenMetadata setup, we need to index Atlan assets into Glean so that metadata for databases, tables, metrics, and reports is easily discoverable through search. Tech stack Python,  System & Data Integration, Kubernetes, System design, Infrastructure mindset Skills We’re looking for a Data Platform Engineer with experience in data platforms and system design at scale. We expect a track record in designing integration architectures for external systems and streamlining data migration/ingestion. As a Data Platform Engineer, you will design and implement a solution that: Periodically indexes Atlan metadata assets into Glean, runs on a configurable schedule (hourly/daily), is production-ready, observable, and maintainable by our DevOps team after handover. Moreover, ensure compliance and data governance at the appropriate level in line with the company’s standards. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now

🏢 Summary: Lead Full-Stack /.NET Developer role focused on modernizing a legacy accounting platform into a cloud-native Azure-based solution using microservices, .NET Core, Angular, and Kubernetes. The position involves backend API development, legacy system decomposition, Azure integrations, CI/CD, and AI-assisted software delivery practices. Candidates will work on scalable cloud architecture while collaborating across engineering and product teams. 🗂️ Requirements: 5+ years experience with .NET Core / ASP.NET Core and C#, Experience designing and implementing REST APIs, Angular frontend development skills, Understanding of microservices architecture, Experience with relational databases, Practical experience with Azure cloud services, Experience with CI/CD pipelines, Knowledge of Docker and Kubernetes / AKS, Ability to work with legacy systems and complex business logic, Strong troubleshooting and collaboration skills, Good English communication skills 📃 Skills: C#, ASP.NET, NETCore, Angular, REST, Azure, AKS, Docker, Kubernetes, SQL, AzureSQL, SQLServer, AzureDevOps, APIManagement, ApplicationGateway, FrontDoor, KeyVault, AzureMonitor, ACR, CI/CD, Microservices, GitHubCopilot 🏢 Description: We are looking for a strong Lead Full-Stack / .NET Developer to support the modernization of a legacy accounting application and its migration to Azure Cloud. The project focuses on transforming an existing desktop/monolithic application into a modern cloud-based solution based on microservices, .NET Core backend APIs, Angular frontend, and Azure platform services. The role requires hands-on engineering experience, strong backend/API development skills, and the ability to work in a modernization context where new cloud-native components need to coexist with legacy systems and shared data models. The team will also use AI-assisted delivery practices and AI agents as part of a new AI SDLC approach to improve development, analysis, testing, and delivery efficiency. Responsibilities Design, develop and maintain backend services and APIs using .NET Core / ASP.NET Core Support decomposition of legacy monolithic functionality into modular services and APIs Development and enhancement of Angular-based frontend components where needed Integration of application components with Azure services and existing backend systems Work with Azure Kubernetes Service, API Management, Application Gateway, Azure SQL and related platform services Contribute to technical analysis of legacy application behavior, data flows and integration points Implementation of clean, maintainable and testable code following engineering best practices Participation in code reviews, automated testing, CI/CD pipelines and release activities Collaboration with architects, product owners, QA engineers and other developers to clarify requirements and technical constraints Use of AI-assisted development tools and agents as part of the project delivery process Requirements 5+ years of experience with .NET Core / ASP.NET Core and C# Solid experience in designing and implementing REST APIs Skills in Angular and modern frontend development Understanding of microservices architecture and application modernization patterns Experience working with relational databases, preferably Azure SQL / SQL Server Practical experience with Azure cloud services Proficiency in CI/CD pipelines, preferably Azure DevOps Understanding of containerized application delivery, preferably Docker and Kubernetes / AKS Capability to work with legacy systems, existing data models and complex business logic Strong troubleshooting, communication and collaboration skills Good English communication skills Nice to have Background in accounting, finance, ERP or invoicing systems Experience migrating desktop or monolithic applications to cloud-native architectures Familiarity with Azure API Management, Application Gateway, Front Door, Key Vault, Azure Monitor and Azure Container Registry Expertise in domain-driven design, service decomposition and API-first development Skills in automated testing and quality engineering practices Flexibility to use AI-assisted development tools such as GitHub Copilot, Claude Code or similar coding agents Interest in AI SDLC, agent-assisted delivery and modern software engineering automation We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Senior Full Stack Developer role focused on building and integrating scalable enterprise applications using Angular, MongoDB, Kafka, Azure Cloud, and DevOps practices. The position involves full SDLC participation, application performance optimization, cloud integration, and collaboration in Agile environments. Hybrid work from Warsaw with benefits including private medical care, life insurance, and training opportunities. 🗂️ Requirements: 8–10 years of software development experience, Experience with Angular v10+, Experience with REST API integration, Experience with NoSQL databases, Experience with MongoDB, Experience with Apache Kafka, Experience with Azure Cloud Services, Experience with Git, Experience with Selenium, Experience with CI/CD deployment toolchains, Understanding of Agile methodologies, Knowledge of Azure DevOps pipelines, Knowledge of Windows and Linux server architecture, Understanding of SDLC and source control management, Bachelor’s degree in Computer Science, Information Technology, or related field 📃 Skills: Angular, REST, MongoDB, NoSQL, Kafka, Azure, Git, Selenium, CI/CD, DevOps, Linux, Windows, Agile, SDLC, Docker, Kubernetes, HTTP, MQ, IIB 🏢 Description: HCLTech is a global technology company, home to more than 227,000 people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology & Services, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services. Consolidated revenues as of 12 months ending March 2026 totaled $14.7B. To learn how we can supercharge progress for you, visit hcltech.com . Overview of the Role As a Senior Full Stack Developer at HCLTech, you will play a pivotal role in designing, building, and integrating scalable enterprise applications using modern front-end, database, and cloud technologies. Your expertise will directly influence the architecture, performance, and reliability of mission-critical solutions that support our clients’ evolving business needs. Collaborating with cross-functional teams, you will drive the development lifecycle, ensure best practices, and contribute to the company’s reputation for technical excellence and innovation. Detailed Responsibilities Analyze business requirements and participate in solution design workshops. Collaborate with architecture and engineering teams to create robust, scalable application designs. Develop clean, efficient, and maintainable code using Angular (v10+), REST APIs, NoSQL databases, MongoDB, and integration/cloud technologies such as Apache Kafka and Azure Cloud Services. Integrate front-end and back-end components, ensuring seamless data flow and user experience. Perform thorough testing, deployment, and debugging across environments. Monitor, scale, and optimize application performance, leveraging cloud and DevOps practices. Maintain and enhance existing applications, ensuring continuous improvement and alignment with industry standards. Contribute to technical documentation throughout the Software Development Life Cycle (SDLC). Participate actively in Agile ceremonies and collaborate with internal teams for project delivery. Provide production support and troubleshoot issues, ensuring high availability and reliability. Technical Skills: Minimum 8–10 years of hands-on experience in software development. Expertise in at least 2 out of the following technology groups: Front-End Technologies: Angular (v10+), front-end frameworks, REST API integration. Database Technologies: NoSQL databases, MongoDB. Integration & Cloud Technologies: Apache Kafka, Azure Cloud Services, application scaling and monitoring. Strong experience in DevOps practices, including Git (version control), Selenium (automation testing), and CI/CD deployment toolchains. Understanding of Agile methodologies, Azure DevOps pipelines (CI, CD, Code Review, Change Management), and branching strategies. Knowledge of Windows and Linux server architecture (clustering, load balancing, installations). Familiarity with SDLC and source control management. Educational Background: Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). Certifications (Preferred): Relevant certifications in Angular, MongoDB, Azure, DevOps, or cloud technologies. Other Requirements (Optional) Experience with payment and messaging gateways (FileAct, FTIO, MFT, SAA, MQIO, BESS). Familiarity with integration technologies such as IBM Integration Bus (IIB), HTTP, MQ protocols. Experience building frameworks or products. Contributions to white papers and/or open-source projects. Hands-on experience with containerization technologies (Docker, Kubernetes). Familiarity with Spotify Agile model and Dreyfus model. Strong interpersonal, collaboration, troubleshooting, and communication skills. Proactive mindset with demonstrated participation in Agile ceremonies and production support. Career Development Opportunities HCLTech is deeply committed to employee growth and professional advancement. As part of our team, you will have access to: Comprehensive training programs in emerging technologies, cloud platforms, and DevOps practices. Opportunities to participate in global projects and collaborate with industry-leading experts. Pathways for leadership development and advancement into architecture, project management, or specialized technical roles. Mentoring programs, innovation labs, and internal communities to foster continuous learning. Recognition and rewards for outstanding contributions, including opportunities to publish, present, and lead initiatives. Join HCLTech to accelerate your career with a world-class technology leader, driving innovation and making a lasting impact in the digital era. This is a hybrid position from Warsaw location. Benefit package: Life insurance Private medical care MultiSport Card Subsidy for glasses Subsidy to language courses Christmas and holiday bonuses

🏢 Summary: Senior AI Software Engineer role focused on delivering scalable, real-time backend systems using AI-driven and agentic coding practices. The position emphasizes designing, generating, testing, and deploying solutions with LLMs and AI agents rather than manual coding. You will architect event-driven systems, integrate external platforms, and manage CI/CD and cloud infrastructure. 🗂️ Requirements: 4+ years backend or distributed systems experience, Experience with LLM APIs or AI agents, Proficiency in at least one backend language, Practical experience with cloud platforms, Knowledge of relational and NoSQL databases, Experience with message queues and integration patterns, Experience with CI/CD pipelines, Experience with Docker and infrastructure management 📃 Skills: LLM, APIs, Agents, Java, Python, Go, TypeScript, GCP, AWS, Azure, SQL, NoSQL, Docker, CICD, Microservices, CQRS, IoT, Copilot, Cursor, Claude, Gemini 🏢 Description: AI Software/Fullstack Engineer (Senior) 📍Warszawa (hybrydowo) Dołącz do zespołu AI Software Development w Locon! W roli kluczowe jest dostarczanie działających rozwiązań szybciej i skuteczniej dzięki AI — nie manualne pisanie dużych ilości kodu, lecz świadome wykorzystanie modeli, agentów i narzędzi AI na każdym etapie procesu:od analizy wymagań, przez architekturę i projektowanie, po testy, optymalizację i wdrożenie. To rola dla osoby, która praktykuje AI-driven / agentic coding — buduje rozwiązania we współpracy z inteligentnymi agentami, automatyzuje proces wytwórczy i konsekwentnie zwiększa produktywność zespołu poprzez mądre wykorzystanie sztucznej inteligencji. Rozwijamy systemy backendowe przetwarzające dane w czasie rzeczywistym — setki tysięcy zdarzeń dziennie, integracje IoT, moduły alertowe, geofencing oraz API o dużej skali operacyjnej. Kluczowe jest projektowanie rozwiązań skalowalnych i niezawodnych oraz wykorzystywanie AI na każdym etapie procesu — od analizy wymagań po testy i wdrożenie. Liczy się nie znajomość konkretnego frameworka, lecz zdolność szybkiej adaptacji, efektywnego wykorzystania AI (agentic coding) i dostarczania realnej wartości biznesowej. 🚀 Kluczowe cele na dobry początek: Rozumienie i definiowanie wymagań – aktywny udział w discovery, zadawanie właściwych pytań, przekształcanie potrzeb biznesowych w precyzyjne specyfikacje. Specyfikacja i projektowanie – tworzenie dokumentacji technicznej, propozycji architektury i planów implementacji – z pomocą AI, ale z pełną odpowiedzialnością za decyzje. Delivery bez ręcznego kodowania – generowanie, weryfikacja i integracja kodu przy użyciu narzędzi AI (Copilot, Cursor, Claude, Gemini i in.). Twoja rola tokierowanie, recenzowanie i decydowanie – nie ręczne pisanie linii po linii. Testy end-to-end i integracyjne – projektowanie strategii testów, definiowanie przypadków brzegowych, weryfikacja jakości z pomocą AI. CI/CD i operacje – konfiguracja i utrzymanie pipeline'ów, monitoring, automatyzacja deploymentu. Sprawdź jakie wyzwania na Ciebie czekają : ✔️Udział w planowaniu i refinemencie – tłumaczysz wymagania biznesowe na plany techniczne zrozumiałe dla AI i dla ludzi. ✔️ Szybkie prototypowanie i weryfikacja – budujesz MVP w ciągu kilku dni oraz iterujesz na podstawie feedbacku. ✔️Praca z systemami event-driven i real-time – rozumiesz asynchroniczność, kolejki strumienie danych i potrafisz je zaprojektować. ✔️Integracje z zewnętrznymi systemami – ERP, CRM, platformy e-commerce, IoT: rozumiesz wzorce integracyjne niezależnie od języka czy frameworka. ✔️ Recenzowanie kodu generowanego przez AI – rozumiesz, co AI produkuje, wyłapujesz błędy logiczne, problemy bezpieczeństwa i wydajnościowe. ✔️Zarządzanie długiem technicznym i modernizacja – identyfikujesz obszary do poprawy i wdrażasz zmiany inkrementalnie. 💡To rola właśnie dla Ciebie jeśli masz: ⚆ Min. 4–5 lat komercyjnego doświadczenia w inżynierii oprogramowania (backend lubsystemy rozproszone). ⚆ Masz doświadczenie z LLM API, agentami AI lub automatyzacją workflow. ⚆ Biegłe posługiwanie się co najmniej jednym językiem backendowym (Java, Python, Go, TypeScript lub innym). ⚆ Praktyczna znajomość chmury (GCP, AWS lub Azure) – wdrożenia, serwisymanaged, bezpieczeństwo, koszty. ⚆ Znajomość baz danych (relacyjnych i NoSQL), kolejek wiadomości i wzorcówintegracyjnych. ⚆ Doświadczenie z CI/CD, Dockerem i podstawami zarządzania infrastrukturą. Umiejętności dodatkowe (mile widziane): ⚆ Doświadczenie z systemami real-time lub IoT. ⚆ Znajomość wzorców architektonicznych (mikroserwisy, event-driven, CQRS, CleanArchitecture). 🚀 Mindset I postawa: AI-First w każdym kroku – Twój domyślny tryb pracy to: zapytaj AI, zweryfikuj,dostosuj, wdróż. Szerokie myślenie technologiczne – swoboda w poruszaniu się po architekturze backendowej, chmurze, bazach danych, kolejkach, API i zagadnieniach bezpieczeństwa. Szybkość i eksperymentowanie – komfort pracy w dynamicznym środowisku, gotowość do testowania nowych narzędzi i rozwiązań. Elastyczność i otwartość – adaptacyjność wobec zmieniających się technologii i wyzwań. Ownership i odpowiedzialność – samodzielne prowadzenie tematów od koncepcji do wdrożenia, z koncentracją na rezultacie. Co zyskasz dołączając do Locon? 🤖 AI-First engineering environment – modele, agenci i automatyzacja są integralną częścią procesu developmentu (design → code → test → deploy). AI to warstwa produkcyjna, nie eksperymentalna. 🧠 Agentic coding w praktyce – praca z multi-agent workflows, automatyzacją generowania i refaktoryzacji kodu, testów oraz dokumentacji. Rozwój w obszarze nowoczesnych praktyk AI-driven software engineering. ⚙️ Autonomia technologiczna – możliwość doboru narzędzi, modeli i pipeline’ów AI dopasowanych do problemu. Decyzje technologiczne oparte na efektywności i jakości, nie sztywnym stacku. 🏗️ Realny wpływ na architekturę systemów – projektowanie rozwiązań event-driven i real-time oraz współtworzenie standardów skalowalności, wydajności i bezpieczeństwa. 🔗 Środowisko cross-functional – współpraca z obszarem produktu, data/AI i infrastrukturą przy projektowaniu rozwiązań end-to-end. 📈 Dedykowany budżet rozwojowy – szkolenia, certyfikacje i konferencje technologiczne (AI, architektura systemów rozproszonych, cloud, security). 🏥 Prywatna opieka medyczna. 🏃 Karta sportowa.

🏢 Summary: Senior AI Software Engineer role focused on AI-driven and agentic coding to design, build and deploy scalable real-time backend systems. The position emphasizes leveraging LLMs and AI agents across the full software lifecycle, from requirements analysis to architecture, testing and CI/CD. Work involves event-driven architectures, IoT integrations and high-scale APIs in a cloud environment. 🗂️ Requirements: 4–5+ years commercial experience in backend or distributed systems engineering, Experience with LLM APIs, AI agents or workflow automation, Proficiency in at least one backend language (Java, Python, Go, TypeScript or similar), Practical experience with cloud platforms (GCP, AWS or Azure), Knowledge of relational and NoSQL databases, Experience with message queues and integration patterns, Experience with CI/CD pipelines, Experience with Docker and infrastructure basics 📃 Skills: Python, Java, Go, TypeScript, LLM, API, Copilot, Cursor, Claude, Gemini, GCP, AWS, Azure, SQL, NoSQL, Docker, CI/CD, IoT, Microservices, CQRS 🏢 Description: AI Software/Fullstack Engineer (Senior) 📍Szczecin (stacjonarnie/hybrydowo) Dołącz do zespołu AI Software Development w Locon! W roli kluczowe jest dostarczanie działających rozwiązań szybciej i skuteczniej dzięki AI — nie manualne pisanie dużych ilości kodu, lecz świadome wykorzystanie modeli, agentów i narzędzi AI na każdym etapie procesu:od analizy wymagań, przez architekturę i projektowanie, po testy, optymalizację i wdrożenie. To rola dla osoby, która praktykuje AI-driven / agentic coding — buduje rozwiązania we współpracy z inteligentnymi agentami, automatyzuje proces wytwórczy i konsekwentnie zwiększa produktywność zespołu poprzez mądre wykorzystanie sztucznej inteligencji. Rozwijamy systemy backendowe przetwarzające dane w czasie rzeczywistym — setki tysięcy zdarzeń dziennie, integracje IoT, moduły alertowe, geofencing oraz API o dużej skali operacyjnej. Kluczowe jest projektowanie rozwiązań skalowalnych i niezawodnych oraz wykorzystywanie AI na każdym etapie procesu — od analizy wymagań po testy i wdrożenie. Liczy się nie znajomość konkretnego frameworka, lecz zdolność szybkiej adaptacji, efektywnego wykorzystania AI (agentic coding) i dostarczania realnej wartości biznesowej. 🚀 Kluczowe cele na dobry początek: Rozumienie i definiowanie wymagań – aktywny udział w discovery, zadawanie właściwych pytań, przekształcanie potrzeb biznesowych w precyzyjne specyfikacje. Specyfikacja i projektowanie – tworzenie dokumentacji technicznej, propozycji architektury i planów implementacji – z pomocą AI, ale z pełną odpowiedzialnością za decyzje. Delivery bez ręcznego kodowania – generowanie, weryfikacja i integracja kodu przy użyciu narzędzi AI (Copilot, Cursor, Claude, Gemini i in.). Twoja rola tokierowanie, recenzowanie i decydowanie – nie ręczne pisanie linii po linii. Testy end-to-end i integracyjne – projektowanie strategii testów, definiowanie przypadków brzegowych, weryfikacja jakości z pomocą AI. CI/CD i operacje – konfiguracja i utrzymanie pipeline'ów, monitoring, automatyzacja deploymentu. Sprawdź jakie wyzwania na Ciebie czekają : ✔️Udział w planowaniu i refinemencie – tłumaczysz wymagania biznesowe na plany techniczne zrozumiałe dla AI i dla ludzi. ✔️ Szybkie prototypowanie i weryfikacja – budujesz MVP w ciągu kilku dni oraz iterujesz na podstawie feedbacku. ✔️Praca z systemami event-driven i real-time – rozumiesz asynchroniczność, kolejki strumienie danych i potrafisz je zaprojektować. ✔️Integracje z zewnętrznymi systemami – ERP, CRM, platformy e-commerce, IoT: rozumiesz wzorce integracyjne niezależnie od języka czy frameworka. ✔️ Recenzowanie kodu generowanego przez AI – rozumiesz, co AI produkuje, wyłapujesz błędy logiczne, problemy bezpieczeństwa i wydajnościowe. ✔️Zarządzanie długiem technicznym i modernizacja – identyfikujesz obszary do poprawy i wdrażasz zmiany inkrementalnie. 💡To rola właśnie dla Ciebie jeśli masz: ⚆ Min. 4–5 lat komercyjnego doświadczenia w inżynierii oprogramowania (backend lubsystemy rozproszone). ⚆ Masz doświadczenie z LLM API, agentami AI lub automatyzacją workflow. ⚆ Biegłe posługiwanie się co najmniej jednym językiem backendowym (Java, Python, Go, TypeScript lub innym). ⚆ Praktyczna znajomość chmury (GCP, AWS lub Azure) – wdrożenia, serwisymanaged, bezpieczeństwo, koszty. ⚆ Znajomość baz danych (relacyjnych i NoSQL), kolejek wiadomości i wzorcówintegracyjnych. ⚆ Doświadczenie z CI/CD, Dockerem i podstawami zarządzania infrastrukturą. Umiejętności dodatkowe (mile widziane): ⚆ Doświadczenie z systemami real-time lub IoT. ⚆ Znajomość wzorców architektonicznych (mikroserwisy, event-driven, CQRS, CleanArchitecture). 🚀 Mindset I postawa: AI-First w każdym kroku – Twój domyślny tryb pracy to: zapytaj AI, zweryfikuj,dostosuj, wdróż. Szerokie myślenie technologiczne – swoboda w poruszaniu się po architekturze backendowej, chmurze, bazach danych, kolejkach, API i zagadnieniach bezpieczeństwa. Szybkość i eksperymentowanie – komfort pracy w dynamicznym środowisku, gotowość do testowania nowych narzędzi i rozwiązań. Elastyczność i otwartość – adaptacyjność wobec zmieniających się technologii i wyzwań. Ownership i odpowiedzialność – samodzielne prowadzenie tematów od koncepcji do wdrożenia, z koncentracją na rezultacie. Co zyskasz dołączając do Locon? 🤖 AI-First engineering environment – modele, agenci i automatyzacja są integralną częścią procesu developmentu (design → code → test → deploy). AI to warstwa produkcyjna, nie eksperymentalna. 🧠 Agentic coding w praktyce – praca z multi-agent workflows, automatyzacją generowania i refaktoryzacji kodu, testów oraz dokumentacji. Rozwój w obszarze nowoczesnych praktyk AI-driven software engineering. ⚙️ Autonomia technologiczna – możliwość doboru narzędzi, modeli i pipeline’ów AI dopasowanych do problemu. Decyzje technologiczne oparte na efektywności i jakości, nie sztywnym stacku. 🏗️ Realny wpływ na architekturę systemów – projektowanie rozwiązań event-driven i real-time oraz współtworzenie standardów skalowalności, wydajności i bezpieczeństwa. 🔗 Środowisko cross-functional – współpraca z obszarem produktu, data/AI i infrastrukturą przy projektowaniu rozwiązań end-to-end. 📈 Dedykowany budżet rozwojowy – szkolenia, certyfikacje i konferencje technologiczne (AI, architektura systemów rozproszonych, cloud, security). 🏥 Prywatna opieka medyczna. 🏃 Karta sportowa.

🏢 Summary: Data / AI Engineer role focused on building and maintaining scalable data pipelines and document-processing workflows for AI-powered applications, including RAG and LLM solutions. The position involves transforming structured and unstructured data into high-quality datasets, embeddings, and searchable stores while collaborating with AI and data teams. The offer includes flexible work options, professional development opportunities, and access to modern cloud and data technologies. 🗂️ Requirements: Strong Python skills, Strong SQL skills, Experience with ETL/ELT pipelines, Experience with data processing workflows, Experience with document processing, Experience with unstructured data, Familiarity with Docker, Experience with data platforms or data warehouses, Experience with Snowflake or MongoDB, Understanding of data modelling principles, Understanding of data preparation techniques, Ability to work with complex data sources, Clear collaborative communication 📃 Skills: Python, SQL, pandas, Docker, Snowflake, MongoDB, ETL, ELT, OCR, RAG, LLM 🏢 Description: Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together! Role Purpose We are looking for a Data / AI Engineer to build and own the upstream data pipelines that prepare large volumes of documents and business data for AI-powered applications. You will transform diverse, complex data sources into structured, high-quality datasets ready for analytics, retrieval-augmented generation (RAG), and large language model (LLM) workflows. You will ensure that information is consistently collected, cleaned, enriched, processed, and made available for intelligent search and AI-driven solutions. You will work closely with data scientists and AI engineers to enable reliable, scalable, and production-ready data foundations. Key Responsibilities Own end-to-end data flows from raw documents and source systems to structured data, embeddings, and searchable data stores Build and maintain ETL/ELT pipelines for extracting, transforming, and loading data Ingest and process data from multiple internal and external sources Extract metadata and structure unstructured documents for AI and analytics use cases Clean, normalize, and prepare large document collections for LLM and RAG applications Develop automated pipelines for document processing, chunking, embedding generation, and indexing Ensure data quality, consistency, versioning, and pipeline reliability Support the development and optimization of AI solutions using embeddings, vector search, semantic search, and retrieval techniques Help design scalable data architectures for growing data volumes Collaborate with data scientists, engineers, and business stakeholders to deliver data-driven capabilities Required Skills & Experience Strong Python skills, including experience with data processing libraries such as pandas Strong SQL skills and experience working with structured data Experience building ETL/ELT pipelines and data processing workflows Experience working with document processing and unstructured data Familiarity with Docker and modern data platforms or warehouses Experience working with databases such as Snowflake, MongoDB, or similar technologies Understanding of data modelling principles and data preparation techniques Analytical mindset with strong attention to detail Ability to work effectively with messy, evolving, and complex data sources Clear, direct, and collaborative communication style Nice to Have Experience with OCR technologies and document extraction Experience with MongoDB Atlas or similar platforms Basic understanding of embeddings, RAG architectures, vector databases, and semantic search Experience supporting AI or machine learning projects Perks and benefits: Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers. Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location. Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more. Global collaboration - work with a diverse, international team. Innovative environment - be part of a forward-thinking and growth-oriented workplace. Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work. Team-building events including our company tradition (annual company event in Mazury ). A pleasant surprise to start your journey with us in the form of a welcome pack. Recruitment process: HR call Technical Interview Interview with the dedicated Client Final decision/ Feedback Sounds interesting? Click "Apply" and have a chance to hear more! 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