Senior AI Platform Engineer (Python, AWS, Data Pipelines)

🏢 Summary: Remote B2B role focused on building a scalable Content-as-a-Service platform that transforms educational content into structured AI-ready data. The position involves designing data pipelines, LLM-powered processing workflows, vector search capabilities, and REST APIs using modern AWS and Python-based technologies. Occasional quarterly visits and first-day onboarding in Warsaw are required. 🗂️ Requirements: Strong Python development experience, AWS experience, Experience with ETL and batch data pipelines, Strong SQL knowledge, PostgreSQL experience, Experience with schema design, Experience with database migrations 📃 Skills: Python, AWS, S3, Glue, Aurora, SQL, PostgreSQL, Weaviate, FastAPI, Airflow, MWAA, mypy, ruff, pytest, OCR, LLMs, ETL, RAG 🏢 Description: Location: remote with the first day onboarding in Warsaw and occasional visits once per quarter Rate: 170 pln/h on b2b Project Overview We are building CaaS (Content as a Service) — a platform that transforms publisher content (PDF textbooks and Excel manifests) into structured, enriched, AI-ready data. The platform processes content once and exposes it through a unified service layer used by multiple downstream applications. Key use cases: - RAG-based Teacher Assistant - Editorial tooling - Future AI-powered student-facing products The goal of this role is to design, build, and maintain a scalable data and AI platform that ingests, processes, enriches, and serves content reliably across multiple environments and consumers. Responsibilities Data Engineering & Pipelines - Build and maintain multi-stage data ingestion pipelines - Design and implement idempotent, restartable batch processing workflows - Use S3 as core storage layer for raw and processed data - Implement pipeline stages including: - Content ingestion and book identity assignment - PDF-to-markdown conversion (AI OCR) - Table of contents and structure extraction - Hierarchical chunking - Embedding generation AI / LLM Processing - Use LLMs and OCR models to extract structured data from PDFs - Design prompts and context strategies for consistent outputs - Generate structured metadata and enrich content for downstream use cases Data Storage & Consistency - Maintain PostgreSQL (Aurora) as system of record - Design and maintain SQL schemas and versioned migrations - Ensure data consistency across: - S3 - PostgreSQL (Aurora) - Vector database (Weaviate) - Implement reconciliation logic across distributed systems Retrieval & Vector Search - Work with Weaviate for vector search and semantic retrieval - Support RAG-based applications - Design data organization strategies (by subject, country, and client) APIs & Integration - Build REST APIs using FastAPI - Expose content as a service for multiple downstream applications - Integrate with internal and external systems Engineering Practices - Write strongly typed Python code (mypy) - Follow CI/CD processes with automated checks (ruff, pytest) - Work across dev / staging / production environments - Debug distributed data inconsistencies Key Requirements Must-have - Strong Python development experience (production systems) - AWS experience (S3, Glue, Aurora) - Experience with data pipelines (ETL / batch processing) - Strong SQL and PostgreSQL experience - Experience with schema design and migrations Nice-to-have - Experience with LLMs in production (OCR, content processing, enrichment) - Prompt engineering / context engineering - Experience with vector databases (Weaviate, Pinecone, Qdrant, pgvector) - Knowledge of embeddings, semantic search, and RAG - Experience with FastAPI - Experience with Airflow / MWAA - Experience building data platforms serving multiple consumers

🏢 Summary: Senior DevOps/Cloud Engineer role focused on designing and operating cloud infrastructure and data platforms for a Forbes 500 private equity client. The position involves owning AWS-based environments, Infrastructure-as-Code, Kubernetes workloads, identity and authentication systems, and production reliability. You will support data engineering teams by building secure, scalable, and observable multi-cloud infrastructure. 🗂️ Requirements: 10+ years in IT, 5+ years in DevOps/Cloud role, Deep AWS expertise (IAM, EC2, S3, EKS), Strong Terraform experience with end-to-end IaC ownership, Hands-on Kubernetes setup and operations, Docker proficiency, Strong Python skills, Strong Bash skills, Experience with IAM and identity providers, Knowledge of OAuth/OIDC and SSO, Experience with Entra ID and Active Directory, Observability and SRE practices experience, Experience with relational and NoSQL databases, C1+ English proficiency 📃 Skills: AWS, Azure, Terraform, Python, Bash, SQL, Docker, Kubernetes, Airflow, Snowflake, Redshift, Athena, GitLab, Artifactory, SQLAlchemy, IAM, OAuth, OIDC, SSO, Okta, ActiveDirectory, EC2, S3, EKS, Lambda, RDS, Route53, EntraID, CI/CD, Scrum 🏢 Description: 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. The Project: We are carrying out the project for our client, an American private equity and investment management fund - listed on the Forbes 500 list - based in New York. We support them in the area of data pipeline, infrastructure and data engineering team. They operate very widely in the world of finance, loans, investments and real estate. Tech stack AWS (EC2, ELB, IAM, Lambda, RDS, Route53, S3, Athena, Redshift, EKS), Azure (Entra ID / Copilot integration), Terraform, Python, Bash, SQL, Docker, Kubernetes, Apache Airflow, Snowflake, GitLab, Artifactory, SQLAlchemy. Best practices: CI/CD, Code Reviews, Scrum. Your responsibilities Designing, building and maintaining cloud infrastructure across AWS environments, with Azure involvement where needed for Copilot integration Writing and owning Infrastructure-as-Code (Terraform) — from greenfield builds to ongoing refactors Running containerized workloads (Docker, Kubernetes) across multi-region setups Owning observability: logging, metrics, dashboards, reliability targets, operational runbooks Engineering identity and auth solutions — IAM policies, Entra ID, OAuth/OIDC, SSO, Okta, token ownership, service vs. user auth, cross-platform access Debugging real production issues: API failures, auth loops, rate limits, model config problems, client SDK bugs, capacity constraints Building reusable tooling and infrastructure for data scientists and engineers Supporting the broader data engineering team with DevOps expertise Documenting what you build — clearly and thoroughly What we're looking for 10+ years in IT, including 5+ years in a DevOps/Cloud role Deep AWS expertise (IAM, EC2, S3, EKS and beyond); Azure awareness for Copilot-adjacent work Solid Terraform background — you've owned IaC end-to-end, not just contributed to it Kubernetes experience: setting it up from scratch, scaling, day-2 operations Docker proficiency Strong Python and Bash skills Identity and auth engineering: IAM, Entra ID, OAuth/OIDC, SSO, Okta, Active Directory Observability and SRE mindset — you write runbooks, you own reliability, you don't just monitor Experience with relational and NoSQL databases C1+ English — written and spoken Nice to have Experience with data pipeline tools (Airflow, Snowflake, Redshift, Athena) Familiarity with Artifactory or similar repository managers Experience in secure/corporate networking environments (proxies, firewalls) Python data stack: Pandas, NumPy, SQLAlchemy; basic ML libraries a plus Comfort working in both Windows and Unix environments 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: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: B2B Software Engineer (Python – GenAI) role focused on building and deploying AI-driven applications using AWS and Large Language Models. The position involves developing backend services, APIs, and microservices while ensuring high standards of security, testing, and CI/CD within an Agile environment. Hybrid work model with regular collaboration in Scrum teams. 🗂️ Requirements: Strong Python backend development, Hands-on experience with AWS services (Bedrock, DynamoDB, OpenSearch, CloudWatch, Step Functions), Practical knowledge of Generative AI and LLM technologies, Experience building REST APIs, Experience developing microservices, Understanding of CI/CD pipelines in AWS, Knowledge of DevOps practices, Experience working in Agile/Scrum teams 📃 Skills: Python, AWS, Bedrock, DynamoDB, OpenSearch, CloudWatch, StepFunctions, LLM, GenAI, REST, Microservices, CICD, DevOps, Agile 🏢 Description: Location: hybrid model. For candidates based in Warsaw, Gdańsk , or nearby areas, we require office presence once per week . For candidates located in other regions, office visits are required once per month (for workshops and team meetings). Team Structure: Agile/Scrum teams Contract B2B Rates depending on the years of the experience: 4-7 yrs: 147 PLN/h 7-10 yrs: 164 PLN/h 10+ yrs: 178 PLN/h Software Engineer (Python – GenAI) role is to contribute to the development and deployment of AI-driven applications, focusing on leveraging modern cloud services and generative AI technologies to provide innovative solutions for the organization. Main Responsibilities: Creating, developing, and deploying AI-based applications using AWS services. Developing and optimizing Large Language Model (LLM) based solutions tailored to real-world business cases. Building and maintaining APIs and microservices to efficiently serve solutions to customers. Ensuring all AI solutions adhere to security, development, and governance standards. Writing and maintaining unit tests, ensuring robust test coverage, and enforcing best coding practices (clean code, maintainability, and performance optimization). Creating clear, concise technical documentation for developed components. Working in Agile/Scrum teams to deliver high-quality applications. Key Requirements: Fluency in English. Strong command of Python for backend development. Hands-on experience with AWS services, including Amazon Bedrock, DynamoDB, OpenSearch, CloudWatch, and Step Functions. Understanding of Generative AI and LLM technologies. Proven experience in developing and maintaining RESTful APIs and microservices. Solid understanding of CI/CD pipelines and DevOps best practices within the AWS environment. Ability to thrive in an Agile environment and work effectively with multidisciplinary teams. Nice to Have: Experience working with vector databases. Knowledge of prompt engineering. Experience working with Azure services, including Azure VM, Azure DevOps, Azure Blob Storage, Cosmos DB, Azure Functions, Azure AI Search, and others.

🏢 Summary: 100% remote B2B role focused on designing and implementing GenAI solutions using Google Vertex AI, integrated with a Drupal-based high-traffic platform. The position centers on building RAG, AI Search, and agent-based architectures, along with scalable data pipelines and Python backend services. It is a long-term, production-oriented project emphasizing architectural quality, reliability, and observability. 🗂️ Requirements: Strong Python experience in AI projects (RAG, Agentic AI, or Search AI), Senior-level experience with Google Vertex AI (Vertex AI Search, Vertex RAG) or equivalent LLM platforms, Commercial experience with PHP, Experience with Drupal architecture and custom module development, Experience designing and maintaining data pipelines, Experience with API-based integrations, Hands-on experience with AI agent architectures and multi-agent orchestration, Experience with observability and monitoring for AI systems, Working knowledge of Kubernetes, Ability to design production-grade, scalable AI systems 📃 Skills: Python, VertexAI, RAG, LLM, Drupal, PHP, Kubernetes, REST, LangFuse, ADK, A2A, Git, CICD, HTML5, CSS3, JavaScript 🏢 Description: Salary: 1000 - 1400 PLN/day net+vat on B2B Work model: 100% remote Why choose this offer? Work on a high-traffic content and marketing platform used by millions of users Real impact on user-facing campaigns, landing pages, and editorial content Modern development environment with scalable architecture Project The project focuses on designing, implementing, and maintaining advanced GenAI solutions built around Google Vertex AI, with a strong emphasis on Vertex AI Search and Vertex RAG. The core goal is to integrate these capabilities into an existing Drupal-based platform, enabling intelligent search, retrieval-augmented generation, and AI-driven workflows powered by structured and unstructured data. The role is heavily centered on Vertex AI architecture, integrations, and data pipelines, with Drupal acting primarily as a consumer of AI-driven data and services. The project also includes building and orchestrating AI agents, implementing observability for AI systems, and developing robust backend services in Python. The overall setup is production-oriented, long-term, and focused on scalability, reliability, and architectural quality. Expected competences and knowledge Strong Python & AI experience (top priority): We are looking for someone with very solid Python skills and proven project-based experience in one or more of the following areas: RAG (Retrieval-Augmented Generation), Agentic AI, or Search AI. Google Vertex AI: Senior-level experience with Vertex AI, particularly Vertex AI Search and Vertex RAG, is highly preferred — or equivalent hands-on experience with other LLM/AI platforms. PHP (commercial experience): Commercial knowledge of PHP is required; it does not need to be current — experience from several years ago is acceptable. Kubernetes: Working-level familiarity sufficient to navigate and support a Kubernetes-based infrastructure (not an expert/DevOps role, but the ability to operate confidently within the environment). Proven track record in designing and maintaining data pipelines and API-based integrations Hands-on experience with AI agent architectures, including ADK (Google), A2A protocol, and multi-agent orchestration patterns Experience with observability and monitoring for AI systems, including tools such as LangFuse Solid experience with Drupal, including architecture understanding, custom module development, and ongoing maintenance Ability to work independently on complex architectures and make high-impact technical decisions Strong understanding of production-grade system design and AI integration best practices Responsibilities Design, implement, and evolve solutions based on Vertex AI Search and Vertex RAG Build and maintain API integrations between Vertex AI services and Drupal Develop and operate data pipelines feeding search and RAG systems Create and maintain Python-based backend services and internal tooling Maintain and extend existing Drupal architecture , focusing on integrations and stability Implement and orchestrate AI agents , including multi-agent collaboration patterns Ensure observability, monitoring, and reliability of GenAI components using tools like LangFuse Contribute to architectural decisions and guide best practices for AI-driven systems Technologies you'll work with Drupal PHP Python HTML5, CSS3, JavaScript REST APIs Kubernetes Git CI/CD tools and modern development workflows Client – why choose this particular client from the Jit portfolio? Our Client dominates the Polish e-commerce arena as the market leader since 1999 . With a user base of over 20 million and growing, this well-established platform is at the forefront of e-commerce, constantly striving for growth through market expansion and investment. As a major player in technology, our Client boasts a talented IT team of over 1,000 employees who focus on developing their own cutting-edge technologies. Jit Team has had a successful partnership with our Client since spring 2021 , with multiple software development teams dedicated to our Client's platforms. These teams operate autonomously, designing platform components through micro-services. Working with our Client offers a chance to contribute to a solution used by millions on a daily basis and to tackle the challenge of delivering software at a massive scale , where even a single second of delay can have a significant impact. This project provides a unique opportunity to work with state-of-the-art technologies and tools, making it a rare and valuable experience. About Jit Team The Human factor of IT - it's not just a slogan, it's a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 700 experienced experts . We create highly specialised teams for clients from all over the world. We offer team members developmental projects, a wide range of benefits and a proprietary professional development programme. Behind our maxim are also charitable and educational activities. We support pupils and students by donating learning equipment. We offer internships to help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We are a Polish company and we share what we have achieved over 15 years of activity . By supporting indigenous initiatives, we ensure the circulation of good energy.

🏢 Summary: Long-term B2B role focused on building, operating, and improving an enterprise-scale Azure cloud platform with strong emphasis on automation, security, and developer experience. The position involves designing CI/CD pipelines, implementing landing zones and policy-as-code, and integrating cloud services with enterprise systems. Work is hybrid (Warsaw office) with occasional business trips and collaboration in an international environment. 🗂️ Requirements: 3+ years of experience with Microsoft Azure including operations, Strong Infrastructure as Code skills, Knowledge of CAF and Enterprise Scale best practices, Understanding of security and compliance standards, Experience with CI/CD pipelines, Experience with DevOps practices, Experience working in Agile methodologies 📃 Skills: Azure, Bicep, Terraform, CI/CD, DevOps, IaC, CAF, Agile, APIs 🏢 Description: Start : Flexible Contract : B2B, long term cooperation Work model : 3 days from the Warsaw office per week Project language: English/Polish Business trips: to Denmark occasionally Recruitment process: case study + 1 meeting You will play a key role in building, operating, and continuously improving our cloud platform and automation capabilities. Your mission is to enable scalable, secure, and compliant cloud adoption through everything-as-code , strong engineering practices, and deep integration between cloud services and existing enterprise systems. A key focus of the role is to continuously improve platform usability and developer experience . We strive to make the platform intuitive, well-documented, and easy to work with – so development teams can focus on delivering business value rather than dealing with complexity. Responsibilities Design, build, and operate the Enterprise Scale Foundation platform and CI/CD pipelines. Improve platform usability, reliability, and developer experience. Implement and manage Landing Zones, guardrails, and policy-as-code. Develop automation using IaC, APIs, and reusable workflows. Build integrations with enterprise systems (e.g., ITSM, identity, data). Ensure security, compliance, and governance standards are met. Collaborate with teams to drive platform improvements and enable self-service. Requirements 3+ years of experience with Microsoft Azure (including operations). Strong Infrastructure as Code (IaC) skills (Bicep, Terraform) Knowledge of CAF / Enterprise Scale best practices. Understanding of security and compliance (preferably financial sector).Experience Experience with CI/CD, DevOps, and Agile methods. Previous experience with Customer Exeprience.

🏢 Summary: Full-time remote B2B role for a Software Engineer focused on Python backend development and implementation of Generative AI solutions for internal products. The position centers on integrating LLM-based models via APIs, building enterprise-grade microservices, and collaborating with Data Scientists in a distributed Agile team. Work involves productionizing AI models within the Azure ecosystem, with emphasis on structured, secure, and high-quality implementations. 🗂️ Requirements: Strong experience in Python backend development, Experience implementing LLM solutions via APIs, Understanding of Generative AI architectures and concepts, Experience in enterprise-scale environments, Experience building and consuming APIs, Ability to work in regulated or structured environments, English proficiency at C1 or strong B2 level 📃 Skills: Python, LLM, GenAI, APIs, RAG, Azure, AzureOpenAI, Microservices, REST, VectorDB 🏢 Description: PROJECT DETAILS: Workload: Full-time Model of working: 100% Remote Contract: B2B, long-term Rate: up to 145 PLN/h nett + VAT About the Role We are looking for a Software Engineer to work on Generative AI–based internal products developed in the company, supporting internal employees. You will join a distributed, fully remote team working on one of two AI-related business streams. The focus of the role is on Python backend development combined with implementation of Generative AI solutions , closely collaborating with Data Scientists who prepare the models. The solutions you build will be used internally within the organization. Responsibilities Design, develop, and deploy backend solutions in Python Implement Generative AI models prepared by Data Scientists into production-ready applications Wrap AI models with application logic and expose them as ready-to-use internal solutions Work mainly with API-based integrations , including LLM usage via APIs Implement and support LLM-based solutions (classic LLM usage through APIs) Work with Retrieval-Augmented Generation (RAG) concepts, including knowledge bases for language models Develop and maintain APIs and microservices Ensure solutions meet enterprise-level quality, security, and governance standards Write clean, maintainable code with appropriate test coverage Collaborate within Agile teams (PM, PO, developers, QA, architects) Participate in the full lifecycle: Business analysis Development Hypercare Further development Technology & Architecture Context Backend and GenAI work is fully Python-based GenAI models are consumed and exposed via APIs Azure OpenAI is used as part of the Azure ecosystem Strong emphasis on correct and well-structured implementation of AI models , not on model training Approximate work split: 80% backend Python development 20% GenAI/LLM solution implementation Key Requirements Strong experience in Python backend development Experience implementing solutions using LLMs via API Understanding of Generative AI architectures and basic GenAI concepts Experience with enterprise-scale environments Experience in building and consuming APIs Ability to work in regulated or structured organizational environments English: C1 or strong B2 Nice to Have Experience in regulated industries Familiarity with RAG concepts (vector databases / knowledge bases) Experience working in large enterprise organizations

🏢 Summary: Full-time remote B2B role for a Software Engineer focused on Python backend development and implementation of Generative AI solutions for internal enterprise products. The position involves integrating LLM-based models via APIs, building microservices, and deploying production-ready AI applications in an Azure-based environment. Work is primarily backend development with partial focus on GenAI/LLM integration in a distributed Agile team. 🗂️ Requirements: Strong experience in Python backend development, Experience implementing LLM solutions via APIs, Understanding of Generative AI architectures and concepts, Experience building and consuming APIs, Experience with enterprise-scale systems, Ability to work in regulated or structured environments, English proficiency at B2 or higher 📃 Skills: Python, GenAI, LLM, API, Azure, AzureOpenAI, RAG, Microservices, REST, VectorDB, Git, Agile 🏢 Description: PROJECT DETAILS: Workload: Full-time Model of working: 100% Remote Contract: B2B, long-term Rate: up to 145 PLN/h nett + VAT About the Role We are looking for a Software Engineer to work on Generative AI–based internal products developed in the company, supporting internal employees. You will join a distributed, fully remote team working on one of two AI-related business streams. The focus of the role is on Python backend development combined with implementation of Generative AI solutions , closely collaborating with Data Scientists who prepare the models. The solutions you build will be used internally within the organization. Responsibilities Design, develop, and deploy backend solutions in Python Implement Generative AI models prepared by Data Scientists into production-ready applications Wrap AI models with application logic and expose them as ready-to-use internal solutions Work mainly with API-based integrations , including LLM usage via APIs Implement and support LLM-based solutions (classic LLM usage through APIs) Work with Retrieval-Augmented Generation (RAG) concepts, including knowledge bases for language models Develop and maintain APIs and microservices Ensure solutions meet enterprise-level quality, security, and governance standards Write clean, maintainable code with appropriate test coverage Collaborate within Agile teams (PM, PO, developers, QA, architects) Participate in the full lifecycle: Business analysis Development Hypercare Further development Technology & Architecture Context Backend and GenAI work is fully Python-based GenAI models are consumed and exposed via APIs Azure OpenAI is used as part of the Azure ecosystem Strong emphasis on correct and well-structured implementation of AI models , not on model training Approximate work split: 80% backend Python development 20% GenAI/LLM solution implementation Key Requirements Strong experience in Python backend development Experience implementing solutions using LLMs via API Understanding of Generative AI architectures and basic GenAI concepts Experience with enterprise-scale environments Experience in building and consuming APIs Ability to work in regulated or structured organizational environments English: C1 or strong B2 Nice to Have Experience in regulated industries Familiarity with RAG concepts (vector databases / knowledge bases) Experience working in large enterprise organizations

🏢 Summary: Senior Data Scientist role focused on leading the design and delivery of production-grade Generative AI solutions using LLMs, including RAG pipelines, chatbots, and AI agents. The position combines hands-on development with architectural decision-making and technical mentorship, delivering scalable GenAI systems for large enterprise clients. You will own the full lifecycle from solution discovery through deployment, safety, and optimization. 🗂️ Requirements: 6+ years experience in Data Science or AI engineering, 4+ years production experience with Python for AI/ML, 2+ years building and deploying LLM-based systems in production, Experience designing and implementing RAG pipelines, Experience with model fine-tuning techniques (LoRA, QLoRA, SFT), Experience building end-to-end GenAI applications including orchestration and APIs, Ability to design system architectures for LLM-based solutions, Experience implementing AI safety and governance controls, Strong analytical and problem-solving skills, Professional English communication skills 📃 Skills: Python, LLMs, LangChain, LlamaIndex, LangGraph, RAG, LoRA, QLoRA, SFT, APIs, VectorDB, AI, MachineLearning 🏢 Description: ABOUT THE COMPANY Our client is an end-to-end data services partner to global enterprises, founded in 2008 and headquartered in Warsaw. Our teams work with over 75 leading consumer packaged goods brands across more than 30 countries, helping them unlock the full value of their data — from strategy and development through to operations and adoption. Our work spans supply chain analytics, customer analytics, AI and machine learning, data platforms, and digital commerce. We are recognised as a Strong Performer in the Gartner Peer Insights Voice of the Customer report for data and analytics, and hold Great Place to Work certification in multiple countries. ABOUT THE ROLE We're looking for an experienced Senior Data Scientist with deep expertise in Generative AI to lead projects building and implementing advanced LLM-based systems — including chatbots, AI agents, and RAG pipelines. This is a technical leadership role: you'll make architectural decisions, select technologies, set best practices, and mentor other engineers, while remaining hands-on across the full solution lifecycle. You'll work closely with data engineers, product owners, and full-stack developers to deliver scalable GenAI applications for large enterprise clients, primarily in CPG, retail, and manufacturing. WHAT YOU'LL WORK ON Solution design and discovery Lead discovery and solution design for GenAI use cases — translating business problems into concrete architectures covering LLM selection, RAG, fine-tuning, agents, and guardrails. End-to-end GenAI applications Build complete GenAI solutions covering data ingestion, retrieval layers, orchestration (LangChain, LlamaIndex, LangGraph), API and backend, and lightweight UI where needed. RAG pipeline design Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness. Model selection, prompting, and fine-tuning Own prompting strategies, model selection, and fine-tuning (LoRA, QLoRA, SFT) for text, code, and multimodal models, including evaluation and A/B testing. Safety and governance Implement safety, compliance, and governance controls including input/output filters, PII handling, audit logs, and human-in-the-loop review where required. Requirements and estimation Gather technical requirements from stakeholders and produce reliable estimates for planned work. Mentorship and knowledge sharing Mentor other data scientists and engineers in GenAI patterns, code quality, and best practices. Contribute to internal libraries, templates, and reusable components. Staying current Track the GenAI landscape — new open and hosted models, agentic frameworks, evaluation techniques — and run targeted PoCs to validate emerging approaches. WHAT WE LOOK FOR 6+ years in Data Science or AI engineering Broad experience across the data science and AI stack, with a track record of delivering production systems. 4+ years of production Python for AI Fluent in writing production-ready Python for AI and ML workloads — clean, maintainable, and deployable. 2+ years of production LLM development Hands-on experience building and shipping LLM-based systems in production environments, not just research or prototypes. Strong analytical and problem-solving skills Able to break down ambiguous problems, make sound architectural decisions under uncertainty, and defend those decisions clearly. Excellent English communication Comfortable working directly with international clients and cross-functional teams. Able to translate technical complexity for non-technical stakeholders. THE TEAM You'll join a specialist Data Science and AI practice working alongside experienced consultants, ML engineers, and data engineers. The team delivers solutions for large international clients across CPG, retail, and manufacturing. There is a strong knowledge-sharing culture, with internal communities, competency centres, and structured learning programmes built into how the team operates. COMPENSATION & BENEFITS Rate 105 – 170 PLN per hour on a B2B contract, depending on experience. Work model Fully remote or office-based — your choice. Flexibility on working hours and contract form. Workation policy Option to work remotely from other locations for defined periods. Onboarding Comprehensive online onboarding programme with a dedicated buddy from day one. Learning and development Unlimited access to the Udemy learning platform from day one. Certificate training programmes, upskilling support, capability development programmes, competency centres, knowledge sharing sessions, community webinars, and over 110 training opportunities per year. Career growth Internal promotion pathways — 76% of managers were promoted internally. Cooperation with top-tier engineers and domain experts across the organisation. Referral bonuses Financial rewards for successful employee referrals. Wellbeing Activities to support health and wellbeing, with opportunities to contribute to charitable causes and environmental initiatives. Equipment Modern office equipment provided. Employer recognition Great Place to Work certified employer.

🏢 Summary: The offer is for a backend-focused AI Engineer role building a modern AI platform for business process automation and multi-agent system integration in a production-grade enterprise environment. The position centers on developing scalable Python-based services, secure API integrations, and cloud-native AI solutions using LLMs and RAG. The role involves designing robust, secure, and scalable architectures deployed on AWS or Azure with containerized infrastructure. 🗂️ Requirements: Extensive experience in backend development with Python in production environments, Hands-on experience with AI Agents, RAG, MCP, or LLM-based solutions, Experience with system integrations and API architecture, Experience with scalable cloud-based applications, Experience with AWS or Azure, Experience with Docker and Kubernetes, Experience designing secure and scalable enterprise solutions, Experience with multi-agent systems and workflow automation, Ability to conduct code reviews and mentor developers, Fluent English and Polish 📃 Skills: Python, LLM, RAG, MCP, AWS, Azure, Docker, Kubernetes, API, Microservices, Cloud, AI, Agents 🏢 Description: Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization. You’re ideal for this role if you: Have extensive experience in backend development with Python in production environments Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions Understand system integrations, API architecture, and scalable cloud-based applications Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes Are experienced in designing secure and scalable enterprise solutions Have strong problem-solving skills and can proactively remove technical blockers Enjoy working closely with cross-functional teams in an international environment Have experience mentoring developers, conducting code reviews, and promoting engineering best practices Are interested in modern AI architectures, workflow automation, and multi-agent systems Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ Designing and developing scalable backend services and AI-driven integration solutions in Python Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems Creating and optimizing multi-agent workflows and intelligent automation processes Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations Integrating external AI platforms, internal tools, and cloud services into production environments Working with cloud technologies and containerized infrastructure in AWS or Azure environments Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows Conducting code reviews, mentoring team members, and supporting engineering best practices Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements Contributing to technical documentation, architecture discussions, and innovation initiatives across the team