Python MCP Engineer

🏢 Summary: The offer is for an experienced DevOps Engineer to design, build, and optimize scalable cloud-native infrastructure and CI/CD ecosystems for large-scale, globally distributed enterprise systems. The role focuses on automation, reliability, monitoring, and continuous delivery across modern cloud platforms. You will collaborate with engineering and operations teams to modernize and maintain highly available cloud environments. 🗂️ Requirements: 5+ years experience in DevOps or software engineering for scalable distributed systems, Strong experience with Google Cloud Platform (GCP), Strong experience with Microsoft Azure, Hands-on experience with AKS, VNET, Key Vault, Application Insights, Logic Apps, Storage Accounts, Function Apps, Experience with CI/CD tools such as GitHub Actions or Azure DevOps, Experience with infrastructure automation, Experience with monitoring and logging solutions, Experience working in Agile environments, Strong troubleshooting and problem-solving skills, Understanding of security and operational best practices 📃 Skills: GCP, Azure, AKS, VNET, KeyVault, ApplicationInsights, LogicApps, StorageAccounts, FunctionApps, GitHubActions, AzureDevOps, CI/CD, Kubernetes, IaC, Monitoring, Logging, Cloud, DevOps 🏢 Description: With over 20 years of market experience, Intellias brings together technologists, creators, and innovators across Europe, North and Latin America, and the Middle East. Join our international team and help solve the advanced technology challenges of tomorrow. We are looking for an experienced DevOps Engineer who is passionate about building scalable cloud infrastructure, automating delivery processes, and improving system reliability in large-scale enterprise environments. In this role, you will work closely with engineering and operations teams to design, maintain, and optimize modern cloud-native infrastructure and CI/CD ecosystems supporting globally distributed systems. Project Overview Our client is a leading multi-brand technology solutions provider serving business, government, education, and healthcare customers across the United States, the United Kingdom, and Canada. A Fortune 500 company and member of the S&P 500 Index, the client was founded in 1984 and employs approximately 10,000 coworkers worldwide. Together with Intellias, the client is building and modernizing enterprise-scale platforms and cloud infrastructure supporting highly available, globally distributed systems. Responsibilities Design, build, and maintain CI/CD pipelines and infrastructure supporting continuous integration, delivery, and deployment Collaborate closely with development and operations teams to ensure high-quality, reliable, and efficient software delivery Automate manual operational processes, including testing, deployments, monitoring, and infrastructure management Develop and maintain monitoring, logging, and alerting solutions to proactively identify and resolve production issues Troubleshoot complex production incidents, perform root cause analysis, and implement long-term remediation plans Manage and optimize cloud infrastructure resources to ensure scalability, reliability, performance, and cost-efficiency Implement security best practices and support compliance with industry standards and regulations Continuously improve platform stability, automation, and operational efficiency Stay up to date with emerging DevOps technologies and industry best practices Requirements 5+ years of hands-on experience in software engineering or DevOps for highly scalable, highly available, globally distributed systems Strong experience with cloud platforms, particularly Google Cloud Platform (GCP) and Microsoft Azure Hands-on experience with Azure services, including: AKS VNET Key Vault Application Insights Logic Apps Storage Accounts Function Apps Experience with DevOps and CI/CD tooling such as GitHub Actions, Azure DevOps, or similar platforms Strong understanding of infrastructure automation and cloud-native environments Experience with monitoring, logging, and observability solutions Proven track record of delivering solutions in Agile environments Strong troubleshooting and problem-solving skills Good understanding of security and operational best practices Nice to Have Experience with Infrastructure-as-Code tools Experience working with Kubernetes and containerized environments Exposure to enterprise-scale cloud modernization initiatives Knowledge of cost optimization and cloud governance practices Perks and Benefits: Flexible work schedule Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract Present on the occasion of birthday, wedding, child birth E-learning accounts for Coursera, O'Relly, Udemy Corporate language school This is an exciting opportunity to join a large-scale international project and contribute to building modern, reliable, and scalable cloud infrastructure solutions.

🏢 Summary: The offer is for a senior GenAI/ML Platform Architect to design and scale an enterprise Digital Ecosystem focused on e-commerce and digital services. The role centers on building and governing RAG-based and agentic AI platforms, establishing LLMOps practices, and enabling secure, compliant, and cost-efficient AI solutions in a global environment. The candidate will lead architecture, lifecycle standards, and integration of multi-agent systems across cloud-native infrastructure. 🗂️ Requirements: 5+ years in MLOps or platform architecture with delivered AI systems, Proficient in Python, Experience with at least one major cloud provider (AWS, Azure, or GCP), Hands-on experience with containers and Kubernetes, Experience with Infrastructure-as-Code tools, Designing scalable ML pipelines for training and deployment, Proven CI/CD implementation for ML/GenAI systems, Experience with RAG architectures and vector databases, Experience with agent orchestration frameworks, Operationalizing multi-agent systems with guardrails and human-in-the-loop, Process automation and enterprise system integrations, Upper-intermediate English level 📃 Skills: Python, AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, MLOps, LLMOps, RAG, LangGraph, SemanticKernel, MCP, VectorDB, Docker, IaC 🏢 Description: Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry! Project Overview: Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias' mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. Responsibilities: Lead discovery with stakeholders and define adoption roadmaps and reference architectures Set lifecycle practices for GenAI (LLMOps) Architect retrieval and provider layers (RAG, vector stores, model gateways) with portability, cost, and compliance in mind Implement RAG/agent workflows that orchestrate tool-calling, retrieval, and grounded answering Enable agentic applications at platform level and define solution patterns and evaluation gates (standardized tools, routing, shared memory, HIL, safe fallbacks) aligned with enterprise integration, security, and cost Set standards for ingestion, chunking, embedding, and indexing pipelines; select and tune vector databases for retrieval Establish CI/CD, Infrastructure-as-Code, observability, and automated testing Define governance and safety guardrails Establish environment strategy and promotion paths, and a clear handover plan to client teams Package reusable patterns/accelerators, mentor engineers, and support presales and proposals Requirements: 5+ years in MLOps/platform architecture or adjacent roles, with shipped AI systems Proficient Python and strong software engineering principles Deep experience with at least one major cloud (AWS/Azure/GCP) and platform engineering (containers, Kubernetes, IaC such as Terraform) Experience in designing and guiding scalable machine learning pipelines for model training, validation, and deployment Proven CI/CD design for GenAI/ML (evaluation gates, versioning, canary, rollback) and collaboration with security/governance stakeholders Sound judgement selecting RAG/vector and provider stacks based on performance, cost, compliance, and portability Agent orchestration frameworks (e.g., LangGraph/Semantic Kernel) and tooling protocols (e.g., MCP) Experience operationalizing multi-agent systems (tools/routing/memory/guardrails, human-in-the-loop) Process automation and enterprise integrations Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams, stakeholders' leadership Upper-intermediate level of English Nice to have: Master or higher degree in Computer Science, Engineering, or related field On-prem LLM deployments; performance and cost tuning with caching and model routing AI safety, policy, and compliance experience in sensitive environments Public speaking and enablement and building reusable accelerators Domain exposure in automotive, retail, manufacturing, healthcare, energy, finance, or telecom Perks and Benefits: Flexible work schedule Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract Present on the occasion of birthday, wedding, child birth E-learning accounts for Coursera, O'Relly, Udemy Corporate language school

🏢 Summary: The offer is for an Automated QA Engineer focused on Python-based test automation within a large-scale digital ecosystem supporting e-commerce, mobile apps, and related platforms. The role involves building and maintaining test automation frameworks, performing API and database testing, and contributing to continuous improvement of QA processes. Over time, it provides growth toward broader development responsibilities and mobile QA. 🗂️ Requirements: 2+ years of experience in Automated QA, Strong Python proficiency, Experience with pytest, requests, pandas, Experience with API testing, Experience with DB testing, Knowledge of REST services, Experience with GitLab pipelines, Familiarity with Azure cloud services, Experience with Allure reporting, English level B2 or higher 📃 Skills: Python, pytest, requests, pandas, REST, API, SQL, GitLab, Azure, Allure 🏢 Description: Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry! What project we have for you Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias’ mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. The role will primarily focus on Automated QA using Python, with a gradual path toward broader development responsibilities and MQA. What you will do Collaborate with team members to identify testing needs and prioritize them Contribute to the development of a Test Automation Framework and infrastructure for automated testing Develop and execute automated test scripts to validate software functionality and reliability Analyze test results and provide regular test reports Debug and troubleshoot issues that arise during testing Participate in continuous improvements, including platform tooling and processes, implementing best practices, and bringing on innovations What you need for this 2+ years of experience in AQA Strong Python skills (pytest, requests, pandas) Experience with API & DB testing Knowledge of REST services Experience with GitLab pipelines Familiarity with Azure cloud services Allure reporting Strong analytical and problem-solving skills English level: B2 Nice to Have Adobe Campaign (ACC) experience JavaScript knowledge What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

🏢 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

🏢 Summary: Lead AI Software Developer role focused on architecting and scaling AI-powered applications, backend systems, and multi-agent workflows across cloud and enterprise environments. The position involves designing secure integrations, optimizing LLM-based solutions, and leading technical delivery and best practices. It combines hands-on AI development with backend architecture and technical leadership. 🗂️ Requirements: Degree in Computer Science, AI, Data Science or related field, 8+ years of software engineering experience, 5+ years of Python backend development in production, Experience building and scaling Python applications, Hands-on experience with AI Agents, RAG and MCP, Experience with AWS or Azure cloud platforms, Experience with storage systems and databases, Knowledge of containerization and Kubernetes, Experience with API integrations and enterprise system connectivity, Leadership and mentoring experience 📃 Skills: Python, AWS, Azure, Kubernetes, RAG, MCP, APIs, Cloud, Databases, Containerization, AI, LLM 🏢 Description: We are seeking an experienced Lead AI Software Developer to design and scale AI-powered applications and integrations. In this role, you will architect backend systems, lead AI agent development, and ensure secure, scalable integration across cloud platforms and enterprise systems. Key Responsibilities Design and maintain middleware, APIs, and connectors integrating AI agents with enterprise systems Architect scalable backend services and cloud-based solutions (AWS/Azure) Develop and optimize multi-agent workflows and adaptive decision logic Fine-tune prompts and LLM-based solutions for domain-specific use cases Lead code reviews, mentor developers, and define development best practices Drive complex API integrations with internal and external AI platforms (incl. MCP servers) Remove technical roadblocks and ensure timely delivery Collaborate with AI, Data, and Platform teams to optimize automation architectures Maintain technical documentation and promote continuous improvement Requirements Degree in Computer Science, AI, Data Science, or similar field 8+ years of software engineering experience, including 5+ years of Python backend development (production) Strong experience building and scaling Python applications Hands-on experience with AI technologies (AI Agents, RAG, MCP) Experience with cloud platforms (AWS or Azure), storage, databases, and AI services Knowledge of containerization and Kubernetes Experience with API integrations and enterprise system connectivity Strong leadership and mentoring experience Excellent communication skills; fluent in Polish and English (min. B2); German is a plus Willingness to travel internationally (~10%) Nice to have: Experience with LangChain, LangGraph, multi-agent systems, prompt engineering, and LLM fine-tuning. What We Offer Work in a global and innovative technology environment Direct impact on enterprise AI and automation solutions Professional development and access to training programs Hybrid work model with flexible hours (central Wroclaw office) Competitive benefits package, cafeteria system, CSR initiatives, and employee clubs

🏢 Summary: Hands-on DevOps Engineer role focused on designing and implementing CI/CD, Infrastructure as Code and GitOps practices within an Azure-based environment. The position centers on automation, secure pipeline delivery and standardizing DevOps practices using GitHub and Azure DevOps. You will enable developer self-service, improve release automation and ensure scalable, compliant cloud infrastructure deployments. 🗂️ Requirements: Strong hands-on experience with GitHub Actions, Strong hands-on experience with Azure DevOps Pipelines, Strong experience designing and implementing CI/CD pipelines, Practical experience with Infrastructure as Code using Bicep, Experience with GitOps principles and version-controlled workflows, Strong knowledge of Azure cloud services, Understanding of Azure identity and access management, Experience with secrets management and pipeline security, Experience implementing DevOps practices across multiple teams, Ability to troubleshoot pipelines, deployments and infrastructure 📃 Skills: Azure, GitHub, AzureDevOps, Git, Bicep, CI/CD, GitOps, KeyVault, AppServices, AzureSQL, ContainerApps, AKS, Flux, ArgoCD, ApplicationInsights, LogAnalytics 🏢 Description: We are looking for a hands-on DevOps Engineer to support the design, implementation and improvement of DevOps capabilities across a modern Azure-based engineering landscape. This role is focused on technical delivery, automation, CI/CD, Infrastructure as Code, GitOps practices and developer enablement using GitHub, Azure DevOps and Azure-native services. The ideal candidate should be able to design and implement reusable DevOps solutions, improve pipeline quality, support release automation and help teams adopt standardized engineering practices. What project we have for you Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias’ mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. What you will do CI/CD Pipeline Design and Implementation Design, build and maintain CI/CD pipelines using: GitHub Actions Azure DevOps Pipelines Create reusable pipeline templates and workflows. Implement build, test, scan, package and deployment stages. Improve pipeline reliability, performance and execution time. Support secure-by-default pipelines with integrated quality and security checks. GitHub and Azure DevOps Engineering Practices Implement and maintain good practices for: Branching strategies Pull request workflows Code review checks Build validation Release approvals Configure and maintain: Repository permissions Branch protection rules Pipeline permissions Service connections Support consistent usage of GitHub and Azure DevOps across multiple products and teams. GitOps and Environment Automation Implement GitOps-based delivery practices where applicable. Ensure environment changes are managed through version-controlled definitions. Support pull-request-based changes for infrastructure and application configuration. Help establish clear separation between: Source code Infrastructure definitions Environment configuration Deployment manifests Support automated synchronization of desired state into target environments. Ensure traceability between code changes, infrastructure changes and deployments. Infrastructure as Code and Azure Delivery Design, implement and maintain Infrastructure as Code using: Bicep Azure-native deployment tooling Create reusable IaC modules and deployment templates. Automate provisioning of Azure resources and environments. Ensure infrastructure is: Version-controlled Repeatable Reproducible Secure by default Aligned with enterprise standards Support deployment automation for Azure services such as App Services, Azure Container Apps, Azure SQL, Key Vault, Storage Accounts, Application Insights and related services. Release and Deployment Automation Implement safe and repeatable release processes. Support deployment strategies such as: Environment promotion Blue/green deployments Canary releases, where applicable Rollback procedures Automate release notes, versioning and deployment tracking where possible. Reduce manual deployment steps and operational risk. Security, Secrets and Compliance Automation Integrate security checks into CI/CD pipelines, including: Dependency scanning Secret scanning Static code analysis Infrastructure validation Container image scanning, where applicable Implement secure secrets handling using Azure Key Vault, GitHub secrets and Azure DevOps variable groups/service connections. Support least-privilege access patterns for pipelines and deployment identities. Help ensure DevOps workflows are auditable and compliant with enterprise requirements. Developer Experience and Self-Service Enablement Create reusable templates, examples and documentation for development teams. Simplify pipeline onboarding for new projects. Provide self-service DevOps building blocks for common scenarios. Improve the developer experience by reducing manual steps and unclear processes. Support teams in adopting standardized DevOps workflows. GitHub and Azure DevOps Organization Administration Administer and configure GitHub organizations and Azure DevOps organizations/projects. Manage organization-level settings, policies and governance controls. Support standardized repository and project setup for new teams. Ensure consistent governance across GitHub repositories and Azure DevOps projects. What you need for this Core Technical Skills Strong hands-on experience with: GitHub Actions Azure DevOps Pipelines Git Azure cloud services Strong experience designing and implementing CI/CD pipelines. Practical experience with Infrastructure as Code, preferably Bicep. Experience with GitOps principles and version-controlled delivery workflows. Good understanding of Azure identity, permissions, service connections and managed identities. Experience with pipeline security, secrets management and deployment automation. DevOps and Delivery Expertise Experience implementing DevOps practices across multiple applications or teams. Strong understanding of: CI/CD design Release automation Environment management Version control strategies Pull request workflows Quality gates Deployment approvals Ability to troubleshoot pipeline, deployment and infrastructure issues. Ability to create reusable technical patterns rather than one-off solutions. Azure and Platform Engineering Knowledge Experience working with Azure-native services. Understanding of cloud resource provisioning, configuration and monitoring. Nice to Have Experience with .NET application delivery. Experience with Azure Container Apps or Kubernetes-based deployments. Experience with GitOps tools such as Flux or Argo CD. Exposure to GitHub Copilot or AI-assisted development workflows. Experience with Azure Monitor, Application Insights or Log Analytics. Familiarity with container-based delivery using Azure Container Apps or AKS. Understanding of platform engineering concepts. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

🏢 Summary: Development of scalable, cloud-based backend systems for industrial data and services using modern microservices and event-driven architectures. The role focuses on building Spring Boot microservices, streaming data pipelines, and robust APIs deployed on AWS. You will own features end-to-end, ensuring reliability, performance, and high-quality engineering practices in a distributed environment. 🗂️ Requirements: 6+ years backend development with Java 21, Spring Boot 3.x, Docker in production, 2+ years backend development with Kotlin in production, Hands-on experience with AWS core services and cloud-native development, Strong experience with microservices, MVC, event-driven architectures, Strong experience with JPA and Hibernate, Advanced database design and optimization with PostgreSQL and DynamoDB, Experience building event-driven systems with Kafka or Kinesis, Test automation using JUnit and Cucumber, Experience with GitHub Actions or similar CI/CD tools, Ability to design, deploy, and maintain distributed systems in production, English communication skills and availability overlapping US Central Time 📃 Skills: Java, Kotlin, Spring, SpringBoot, Docker, AWS, PostgreSQL, DynamoDB, Kafka, Kinesis, JPA, Hibernate, JUnit, Cucumber, GitHub, CI/CD, Microservices, MVC 🏢 Description: Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world. Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field. Responsibilities: Design, develop, and maintain scalable Spring Boot -based microservices in a distributed architecture Build and operate event-driven data processing pipelines , including ingestion, transformation, and enrichment of streaming data Develop and maintain robust APIs for internal and external consumers Work with AWS cloud services to design and support reliable, scalable backend systems Design, optimize, and maintain PostgreSQL and DynamoDB schemas, ensuring performance and data integrity Implement and maintain automated testing strategies (unit and integration) Contribute to and maintain GitHub Actions pipelines Ensure system reliability through monitoring, logging, and observability best practices Collaborate effectively in a distributed team, communicating progress, risks, and dependencies Take ownership of features end-to-end, from design through deployment and production support Maintain clear technical documentation and promote engineering best practices Requirements: 6+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21 , Spring Boot 3.x , Docker 2+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Kotlin Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English Hands-on experience with AWS (core services and cloud-native development) Strong experience with microservices , MVC , and event-driven architectures Strong experience with JPA / Hibernate Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB , including schema design, optimization, and performance tuning Experience building and operating event-driven systems (e.g., Kafka , Kinesis ) Solid test automation experience using JUnit and Cucumber Hands-on experience with GitHub Actions and/or similar CI/CD tools Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest) Perks and Benefits: Flexible work schedule Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract Present on the occasion of birthday, wedding, child birth E-learning accounts for Coursera, O'Relly, Udemy Corporate language school

🏢 Summary: The offer is for a Lead Python Software Engineer to design and develop scalable back-end services and APIs integrating advanced AI frameworks into production-ready systems. The role focuses on building AI-driven workflows, deploying solutions on Azure and ensuring high performance, reliability and code quality. You will collaborate across teams to deliver modular, maintainable applications using modern DevOps practices. 🗂️ Requirements: 5+ years of back-end development experience, Strong expertise in Python, Strong expertise in FastAPI, Hands-on experience with LangChain and/or LangGraph, Experience integrating AI frameworks into back-end services, Experience building scalable, modular production-ready solutions, Strong debugging and optimization skills, Knowledge of Azure, Experience with Terraform, Experience with CI/CD using GitHub Actions, Upper-Intermediate English (B2) 📃 Skills: Python, FastAPI, LangChain, LangGraph, GenerativeAI, PromptEngineering, Azure, Terraform, GitHubActions, React, TypeScript, CI/CD 🏢 Description: We are seeking a Lead Python Software Engineer to design and develop robust back-end solutions that integrate cutting-edge AI frameworks into production-ready services. In this role, you will collaborate across teams to build scalable APIs, contribute to AI-driven workflows and help deliver reliable, high-performance applications. Responsibilities Design and develop back-end services and APIs using Python and FastAPI Integrate AI frameworks such as LangChain and LangGraph into back-end systems Build modular, production-ready solutions that are scalable and maintainable Contribute to AI-driven workflows and tools leveraging Generative AI and Prompt Engineering Collaborate with front-end engineers working with React.js and TypeScript Support production-ready deployments on Azure using Terraform Implement and maintain CI/CD pipelines with GitHub Actions Debug and optimize applications for reliability and performance Ensure code quality through best practices and thorough testing Requirements 5+ years of experience in back-end development with strong expertise in Python and FastAPI Hands-on experience with LangChain and/or LangGraph Deep understanding of how to integrate AI frameworks into back-end services Proficiency in building modular, scalable and maintainable production-ready solutions Strong debugging and optimization skills with a focus on reliability and performance Familiarity with front-end collaboration using React.js and TypeScript Knowledge of infrastructure tools such as Azure and Terraform Competency in CI/CD workflows using GitHub Actions Upper-Intermediate English language proficiency (B2) Nice to have Practical knowledge of Generative AI and Prompt Engineering Track record of working on AI-driven workflows or tools Background in DevOps integration for production-ready deployments 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: Lead Python Software Engineer role focused on designing and developing scalable back-end services and APIs with FastAPI, integrating advanced AI frameworks into production-ready systems. The position involves building AI-driven workflows, supporting Azure-based deployments, and ensuring high reliability through CI/CD and best engineering practices. You will collaborate across teams to deliver high-performance, maintainable applications powered by Generative AI technologies. 🗂️ Requirements: 5+ years of back-end development experience, Strong expertise in Python, Strong expertise in FastAPI, Hands-on experience with LangChain or LangGraph, Experience integrating AI frameworks into back-end services, Experience building scalable, modular, production-ready solutions, Strong debugging and performance optimization skills, Experience collaborating with React.js and TypeScript teams, Knowledge of Azure, Knowledge of Terraform, Experience with CI/CD using GitHub Actions, Upper-Intermediate English (B2) 📃 Skills: Python, FastAPI, LangChain, LangGraph, GenerativeAI, PromptEngineering, React, TypeScript, Azure, Terraform, GitHubActions, CI/CD 🏢 Description: We are seeking a Lead Python Software Engineer to design and develop robust back-end solutions that integrate cutting-edge AI frameworks into production-ready services. In this role, you will collaborate across teams to build scalable APIs, contribute to AI-driven workflows and help deliver reliable, high-performance applications. Responsibilities Design and develop back-end services and APIs using Python and FastAPI Integrate AI frameworks such as LangChain and LangGraph into back-end systems Build modular, production-ready solutions that are scalable and maintainable Contribute to AI-driven workflows and tools leveraging Generative AI and Prompt Engineering Collaborate with front-end engineers working with React.js and TypeScript Support production-ready deployments on Azure using Terraform Implement and maintain CI/CD pipelines with GitHub Actions Debug and optimize applications for reliability and performance Ensure code quality through best practices and thorough testing Requirements 5+ years of experience in back-end development with strong expertise in Python and FastAPI Hands-on experience with LangChain and/or LangGraph Deep understanding of how to integrate AI frameworks into back-end services Proficiency in building modular, scalable and maintainable production-ready solutions Strong debugging and optimization skills with a focus on reliability and performance Familiarity with front-end collaboration using React.js and TypeScript Knowledge of infrastructure tools such as Azure and Terraform Competency in CI/CD workflows using GitHub Actions Upper-Intermediate English language proficiency (B2) Nice to have Practical knowledge of Generative AI and Prompt Engineering Track record of working on AI-driven workflows or tools Background in DevOps integration for production-ready deployments 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: Lead Python Software Engineer role focused on building scalable back-end services and APIs while integrating AI frameworks into production-ready systems. The position involves developing AI-driven workflows, supporting cloud deployments on Azure and ensuring high performance, reliability and code quality. You will collaborate cross-functionally to deliver robust, maintainable applications leveraging modern DevOps practices. 🗂️ Requirements: 5+ years of back-end development experience, Strong expertise in Python, Strong expertise in FastAPI, Hands-on experience with LangChain and/or LangGraph, Experience integrating AI frameworks into back-end services, Experience building modular, scalable, production-ready solutions, Strong debugging and performance optimization skills, Experience collaborating with React and TypeScript teams, Knowledge of Azure, Experience with Terraform, Experience with GitHub Actions and CI/CD workflows, Upper-Intermediate English (B2) 📃 Skills: Python, FastAPI, LangChain, LangGraph, Azure, Terraform, GitHubActions, CICD, React, TypeScript, GenerativeAI, PromptEngineering, DevOps 🏢 Description: We are seeking a Lead Python Software Engineer to design and develop robust back-end solutions that integrate cutting-edge AI frameworks into production-ready services. In this role, you will collaborate across teams to build scalable APIs, contribute to AI-driven workflows and help deliver reliable, high-performance applications. Responsibilities Design and develop back-end services and APIs using Python and FastAPI Integrate AI frameworks such as LangChain and LangGraph into back-end systems Build modular, production-ready solutions that are scalable and maintainable Contribute to AI-driven workflows and tools leveraging Generative AI and Prompt Engineering Collaborate with front-end engineers working with React.js and TypeScript Support production-ready deployments on Azure using Terraform Implement and maintain CI/CD pipelines with GitHub Actions Debug and optimize applications for reliability and performance Ensure code quality through best practices and thorough testing Requirements 5+ years of experience in back-end development with strong expertise in Python and FastAPI Hands-on experience with LangChain and/or LangGraph Deep understanding of how to integrate AI frameworks into back-end services Proficiency in building modular, scalable and maintainable production-ready solutions Strong debugging and optimization skills with a focus on reliability and performance Familiarity with front-end collaboration using React.js and TypeScript Knowledge of infrastructure tools such as Azure and Terraform Competency in CI/CD workflows using GitHub Actions Upper-Intermediate English language proficiency (B2) Nice to have Practical knowledge of Generative AI and Prompt Engineering Track record of working on AI-driven workflows or tools Background in DevOps integration for production-ready deployments 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.