Python AI Developer

🏢 Summary: The offer is for an experienced Python AI Engineer to design and deliver scalable, production-grade AI solutions for a green building design project. The role focuses on building autonomous AI agents, RAG systems, and LLM-powered services, taking solutions from prototype to full production in cloud environments. You will integrate advanced AI workflows into existing ecosystems while ensuring high code quality, evaluation standards, and data reliability. 🗂️ Requirements: 5+ years commercial experience in Python development, Experience building scalable services and APIs using FastAPI, Flask, or Django, Experience writing comprehensive test suites using pytest, Hands-on experience with LangChain, LangGraph, LangSmith, or LlamaIndex, Experience building autonomous AI agents with tool-calling and multi-step reasoning, Practical experience implementing RAG with vector databases, Expert-level prompt engineering with structured outputs (JSON, Pydantic, Instructor), Experience building evaluation frameworks for AI systems, Experience delivering AI applications from prototype to production, Experience building data pipelines for AI systems, Experience with Azure, AWS, or GCP and their managed AI/ML services, Experience integrating LLMs via microservices or workflow engines, High proficiency in English (B2+ level) 📃 Skills: Python, FastAPI, Flask, Django, pytest, LangChain, LangGraph, LangSmith, LlamaIndex, RAG, Pinecone, Weaviate, Milvus, Pgvector, Prompting, JSON, Pydantic, Instructor, Azure, AWS, GCP, Bedrock, Microservices 🏢 Description: About the project Project for a client that promotes green building design. Our expectations Python Expert: 5+ years of commercial experience writing production-quality code. You should be proficient in building scalable services, APIs (FastAPI, Flask, Django), and comprehensive test suites (pytest). Clean Code & Architecture: A strong advocate for clean code principles and the ability to build modular, maintainable software architectures. Hands-on experience with LangChain or other advanced patterns using LangGraph, LangSmith, or LlamaIndex. Agentic Workflows: Proven ability to build autonomous AI agents involving tool-calling, function-calling, and complex multi-step reasoning. RAG & Vector Search: Practical expertise in implementing Retrieval-Augmented Generation (RAG) using vector databases (e.g., Pinecone, Weaviate, Milvus, or Pgvector) and optimizing embedding models. Prompt Engineering Expert-level skill in prompt design, structured outputs (JSON/Pydantic/Instructor). The "Evals" Mindset: You understand that "it works on my machine" isn't enough. You have experience building evaluation frameworks to measure relevance, consistency, latency, cost, and user trust. End-to-End Delivery: A track record of taking AI-powered applications from initial ideation and prototyping through to full-scale production deployment. Data Literacy: Solid understanding of how data quality, freshness, and structure impact model behavior. Experience with building data pipelines for AI consumption. Experience with at least one major cloud platform (Azure, AWS, or GCP), specifically utilizing their managed AI/ML services (e.g., Azure OpenAI, AWS Bedrock). Skills in integrating LLMs into existing product ecosystems via microservices or workflow engines. High-proficiency in written and spoken English (min. B2+ level). Welcome Skills "Getting Things Done" Attitude: A proactive, problem-solving mindset suited for a fast-paced, client-facing environment. Product-First Engineering Mindset: Ownership of the AI lifecycle - from initial ideation and architectural design to production deployment. This includes proactively partnering with stakeholders to refine requirements, identifying the highest-ROI AI patterns, and pivoting quickly based on real-world performance data and user feedback. Stakeholder Communication: The ability to translate complex technical AI concepts into clear business solutions for non-technical stakeholders.

🏢 Summary: The offer is for a Python AI Engineer to design and build GenAI agents using frameworks like LangChain and LangGraph, deployed on AWS. The role focuses on creating RAG-based solutions, integrating vector databases, and ensuring reliable, secure operation of LLM-powered services. The engineer will work in an Agile team to deliver production-ready AI systems with proper monitoring, documentation, and compliance. 🗂️ Requirements: 2+ years of Python development experience, Experience with LLM or GenAI projects, Hands-on experience with LangChain, LangGraph or similar agent frameworks, Understanding of agentic design patterns, Knowledge of vector databases and embeddings, Experience with prompt engineering, Proficiency in Docker, Experience with Git-based CI/CD, Experience with automated testing, Ability to deploy solutions on AWS 📃 Skills: Python, LangChain, LangGraph, AWS, Docker, Git, CI/CD, LLM, GenAI, RAG, VectorDB, Embeddings, PromptEngineering 🏢 Description: We are seeking a Python AI Engineer with hands-on experience in agentic AI frameworks such as LangChain and LangGraph, who knows how to run GenAI workloads on AWS. Responsibilities Build Python services that power the GenAI agent, using LangChain, LangGraph or similar libraries Creation of retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless or managed AI services Instrument logging, monitoring and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaboration with product, data science and business teams to make sure the agent solves real problems Document code, APIs and deployment steps so others can maintain and extend the solution Contribute to planning, demos and retros within an Agile team Requirements 2+ years of Python development, with recent focus on LLM or GenAI projects Real-world experience using LangChain, LangGraph or comparable agent frameworks Understanding of agentic design patterns and how to wire tools, planners and memory together Knowledge of vector databases, embeddings and prompt engineering Proficiency in Docker, Git-based CI/CD and automated testing Solid communication skills and the ability to work with technical and non-technical stakeholders Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review or safety tooling AWS or Python certifications We offer/Benefits 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: The offer is for a Python AI Engineer responsible for building and deploying GenAI agents using agentic frameworks like LangChain and LangGraph on AWS. The role focuses on developing RAG pipelines, integrating vector databases, ensuring reliability and safety, and collaborating within an Agile team. It combines hands-on LLM engineering with cloud deployment, monitoring, and compliance in a healthcare-related context. 🗂️ Requirements: 2+ years of Python development experience with recent focus on LLM or GenAI projects, Hands-on experience with LangChain, LangGraph or similar agent frameworks, Understanding of agentic design patterns (tools, planners, memory), Knowledge of vector databases, embeddings and prompt engineering, Proficiency in Docker, Experience with Git-based CI/CD, Experience with automated testing, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: Python, LangChain, LangGraph, AWS, RAG, LLM, Docker, Git, CI/CD, VectorDB, Embeddings, Prompting, AgenticAI, Logging, Monitoring 🏢 Description: We are seeking a Python AI Engineer with hands-on experience in agentic AI frameworks such as LangChain and LangGraph, who knows how to run GenAI workloads on AWS. Responsibilities Build Python services that power the GenAI agent, using LangChain, LangGraph or similar libraries Creation of retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless or managed AI services Instrument logging, monitoring and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaboration with product, data science and business teams to make sure the agent solves real problems Document code, APIs and deployment steps so others can maintain and extend the solution Contribute to planning, demos and retros within an Agile team Requirements 2+ years of Python development, with recent focus on LLM or GenAI projects Real-world experience using LangChain, LangGraph or comparable agent frameworks Understanding of agentic design patterns and how to wire tools, planners and memory together Knowledge of vector databases, embeddings and prompt engineering Proficiency in Docker, Git-based CI/CD and automated testing Solid communication skills and the ability to work with technical and non-technical stakeholders Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review or safety tooling AWS or Python certifications 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: The offer is for a Python AI Engineer to design and deploy GenAI agents using LangChain/LangGraph and AWS. The role focuses on building RAG-based solutions, implementing agentic design patterns, and ensuring reliability, safety, and compliance in healthcare-related workflows. You will work in an Agile team to deliver production-ready AI services with proper documentation, monitoring, and CI/CD practices. 🗂️ Requirements: 2+ years of Python development experience, Hands-on experience with LLM or GenAI projects, Experience with LangChain, LangGraph or similar agent frameworks, Understanding of agentic design patterns, Knowledge of vector databases and embeddings, Knowledge of prompt engineering, Proficiency with Docker, Experience with Git-based CI/CD, Experience with automated testing, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: Python, LangChain, LangGraph, AWS, RAG, LLM, Docker, Git, CI/CD, VectorDB, Embeddings, Prompting, GenAI 🏢 Description: We are seeking a Python AI Engineer with hands-on experience in agentic AI frameworks such as LangChain and LangGraph, who knows how to run GenAI workloads on AWS. Responsibilities Build Python services that power the GenAI agent, using LangChain, LangGraph or similar libraries Creation of retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless or managed AI services Instrument logging, monitoring and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaboration with product, data science and business teams to make sure the agent solves real problems Document code, APIs and deployment steps so others can maintain and extend the solution Contribute to planning, demos and retros within an Agile team Requirements 2+ years of Python development, with recent focus on LLM or GenAI projects Real-world experience using LangChain, LangGraph or comparable agent frameworks Understanding of agentic design patterns and how to wire tools, planners and memory together Knowledge of vector databases, embeddings and prompt engineering Proficiency in Docker, Git-based CI/CD and automated testing Solid communication skills and the ability to work with technical and non-technical stakeholders Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review or safety tooling AWS or Python certifications 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: The offer is for a Python AI Engineer to build and operate agentic GenAI solutions using frameworks like LangChain and LangGraph on AWS. The role focuses on developing RAG pipelines, deploying scalable AI services, and ensuring reliability, safety, and compliance in healthcare-related workflows. You will collaborate within an Agile team to deliver production-ready AI agents integrated with business systems. 🗂️ Requirements: 2+ years of Python development with recent LLM or GenAI focus, Experience with LangChain, LangGraph or similar agent frameworks, Understanding of agentic design patterns (tools, planners, memory), Knowledge of vector databases, embeddings and prompt engineering, Proficiency in Docker, Experience with Git-based CI/CD, Experience with automated testing, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: Python, LangChain, LangGraph, AWS, RAG, LLM, Docker, Git, CI/CD, VectorDB, Embeddings, Prompting, Salesforce, ServiceNow 🏢 Description: We are seeking a Python AI Engineer with hands-on experience in agentic AI frameworks such as LangChain and LangGraph, who knows how to run GenAI workloads on AWS. Responsibilities Build Python services that power the GenAI agent, using LangChain, LangGraph or similar libraries Creation of retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless or managed AI services Instrument logging, monitoring and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaboration with product, data science and business teams to make sure the agent solves real problems Document code, APIs and deployment steps so others can maintain and extend the solution Contribute to planning, demos and retros within an Agile team Requirements 2+ years of Python development, with recent focus on LLM or GenAI projects Real-world experience using LangChain, LangGraph or comparable agent frameworks Understanding of agentic design patterns and how to wire tools, planners and memory together Knowledge of vector databases, embeddings and prompt engineering Proficiency in Docker, Git-based CI/CD and automated testing Solid communication skills and the ability to work with technical and non-technical stakeholders Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review or safety tooling AWS or Python certifications 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: The offer is for a Python AI Engineer to build and operate agentic GenAI solutions using LangChain/LangGraph on AWS. The role focuses on developing RAG pipelines, deploying scalable services, and ensuring reliability, safety, and healthcare data compliance. You will collaborate in an Agile team to deliver production-ready AI agents integrated with business workflows. 🗂️ Requirements: 2+ years of Python development experience, Recent experience with LLM or GenAI projects, Hands-on experience with LangChain, LangGraph or similar agent frameworks, Understanding of agentic design patterns (tools, planners, memory), Knowledge of vector databases, embeddings and prompt engineering, Proficiency with Docker, Experience with Git-based CI/CD, Experience with automated testing, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: Python, LangChain, LangGraph, AWS, RAG, LLM, Docker, Git, CI/CD, Embeddings, Vector, Prompting, Agile 🏢 Description: We are seeking a Python AI Engineer with hands-on experience in agentic AI frameworks such as LangChain and LangGraph, who knows how to run GenAI workloads on AWS. Responsibilities Build Python services that power the GenAI agent, using LangChain, LangGraph or similar libraries Creation of retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless or managed AI services Instrument logging, monitoring and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaboration with product, data science and business teams to make sure the agent solves real problems Document code, APIs and deployment steps so others can maintain and extend the solution Contribute to planning, demos and retros within an Agile team Requirements 2+ years of Python development, with recent focus on LLM or GenAI projects Real-world experience using LangChain, LangGraph or comparable agent frameworks Understanding of agentic design patterns and how to wire tools, planners and memory together Knowledge of vector databases, embeddings and prompt engineering Proficiency in Docker, Git-based CI/CD and automated testing Solid communication skills and the ability to work with technical and non-technical stakeholders Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review or safety tooling AWS or Python certifications 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: Full-time remote Senior AI Engineer role focused on designing and operating production-grade GenAI systems, including agentic workflows and RAG pipelines integrated into enterprise platforms. The position emphasizes backend engineering, API integrations, and orchestration of LLM capabilities in secure, scalable cloud environments rather than ML research. The role also includes mentoring engineers and establishing best practices for reliable, observable AI services. 🗂️ Requirements: 5+ years professional software development experience, Proficiency in Python, Experience building production LLM applications, Hands-on experience with RAG systems, Experience designing and integrating RESTful APIs, Strong understanding of distributed systems fundamentals, Experience with SQL databases and performance optimization, Experience with vector search, Experience integrating external services via APIs, Knowledge of Azure cloud services, Experience with unit and integration testing, Ability to build AI evaluation and testing frameworks 📃 Skills: Python, REST, GraphQL, SQL, Azure, RAG, LLM, LangChain, LangGraph, ASP.NET, APIs, Microservices, DistributedSystems, Concurrency, AsyncIO, VectorSearch, Embeddings, Caching, AzureFunctions, Storage, KeyVault, AppConfiguration, ApplicationInsights, ServiceBus, EventHubs 🏢 Description: Workload: full-time Work model: 100% Remote We are seeking a Senior AI Engineer who combines strong software engineering fundamentals with hands-on experience building production GenAI solutions, including agentic workflows and Retrieval-Augmented Generation (RAG). This is an engineering and orchestration role focused on integrating LLM capabilities into enterprise systems – not a traditional model-training/ML research role. 5+ years of professional software development experience (ideally 7+ years across backend/API/integration and cloud platforms). Proven ability to ship production-grade LLM applications ( RAG , tool/function calling, agent orchestration) with reliability, security, and observability. Strong ownership mindset and passion for AI engineering – curiosity, experimentation, and a drive to continuously improve the product and the team. Excellent communication and collaboration skills; ability to guide, mentor, and unblock other engineers as we build out an AI engineering capability. Main Responsibilities: Design, build, and operate agentic AI services that orchestrate tools, workflows, and integrations across cloud systems and enterprise data sources. Implement and continuously improve RAG pipelines for tax artifacts and internal knowledge, including ingestion, retrieval tuning, and evaluation. Integrate AI workflows with existing internal platforms (e.g., assistant frameworks) and back-end services through robust APIs. Define and maintain tool/function schemas and orchestration patterns; implement streaming updates, interrupts, and human-in-the-loop steps as needed. Partner with other engineers to set direction, mentor, and unblock the team — helping establish strong foundations for the AI initiative. Build in quality from day one: automated tests, evaluation checks, monitoring/telemetry, and performance optimization for network-bound workloads. Participate in Agile ceremonies (daily scrums, refinement/grooming, planning) and collaborate through peer review, pair programming, and strong documentation. Apply best practices, design principles, and security standards throughout the SDLC, with a focus on reliability and responsible AI. Key Requirements: Strong software engineering background (not a research-only data science profile): designing, building, and operating production systems. Proficiency in at least one backend language used for AI systems (Python preferred). Hands-on experience building and integrating RESTful APIs ; GraphQL experience is a plus. Strong understanding of distributed systems fundamentals : concurrency, async I/O, resiliency/retries, rate limits, caching, and performance optimization. Experience integrating with external services and internal platforms via APIs and event-driven patterns. Solid database fundamentals (SQL design, performance, migrations); experience with vector search is required, and hybrid search stores are a plus. Hands-on experience building LLM-powered applications end-to-end : prompt design, tool/function interfaces, structured outputs, and streaming user experiences. Experience with RAG systems : document ingestion pipelines, chunking/metadata, embeddings, retrieval strategies, grounding, and evaluation. Cloud services expertise : Strong knowledge of Azure cloud services used for enterprise AI solutions (e.g., Functions, Storage, Key Vault, App Configuration, Application Insights). Development practices experience : Strong background in unit and integration testing; ability to build and maintain AI evaluation harnesses (golden sets, regression tests, automated checks). Nice to Have: Direct experience with LangGraph and/or LangChain for multi-agent workflows. Familiarity with emerging agentic ecosystem concepts/protocols (e.g., MCP, A2A, ADK or similar). Experience integrating AI services into .NET (ASP.NET Core) applications or building AI microservices that serve enterprise applications. Experience with event-driven architectures (service bus, event hubs) and real-time updates/streaming to UI. Experience working with tax/enterprise document corpora and governance constraints (PII, retention, access control). Other Details: This position is designed for remote work and has a flexible duration, allowing for innovation in the AI space within an agile environment.

🏢 Summary: Full-time remote Senior AI Engineer role focused on designing and operating production-grade GenAI solutions, including agentic workflows and RAG pipelines integrated into enterprise systems. The position emphasizes software engineering excellence, cloud-based AI services, and orchestration of LLM capabilities rather than model research. You will build reliable, secure, and observable AI services integrated with internal platforms and APIs. 🗂️ Requirements: 5+ years of professional software development experience, Strong background in designing and operating production systems, Proficiency in Python or another backend language for AI systems, Experience building and integrating RESTful APIs, Understanding of distributed systems fundamentals, Experience with API integrations and event-driven architectures, Solid SQL and database design knowledge, Experience with vector search, Hands-on experience building end-to-end LLM applications, Experience implementing RAG pipelines, Strong knowledge of Azure cloud services, Experience with unit and integration testing, Ability to build AI evaluation and regression testing frameworks 📃 Skills: Python, REST, GraphQL, SQL, Azure, RAG, LLM, LangChain, LangGraph, ASP.NET, APIs, Embeddings, VectorSearch, AzureFunctions, AzureStorage, KeyVault, AppConfiguration, ApplicationInsights 🏢 Description: Workload: full-time Work model: 100% Remote We are seeking a Senior AI Engineer who combines strong software engineering fundamentals with hands-on experience building production GenAI solutions, including agentic workflows and Retrieval-Augmented Generation (RAG). This is an engineering and orchestration role focused on integrating LLM capabilities into enterprise systems – not a traditional model-training/ML research role. 5+ years of professional software development experience (ideally 7+ years across backend/API/integration and cloud platforms). Proven ability to ship production-grade LLM applications ( RAG , tool/function calling, agent orchestration) with reliability, security, and observability. Strong ownership mindset and passion for AI engineering – curiosity, experimentation, and a drive to continuously improve the product and the team. Excellent communication and collaboration skills; ability to guide, mentor, and unblock other engineers as we build out an AI engineering capability. Main Responsibilities: Design, build, and operate agentic AI services that orchestrate tools, workflows, and integrations across cloud systems and enterprise data sources. Implement and continuously improve RAG pipelines for tax artifacts and internal knowledge, including ingestion, retrieval tuning, and evaluation. Integrate AI workflows with existing internal platforms (e.g., assistant frameworks) and back-end services through robust APIs. Define and maintain tool/function schemas and orchestration patterns; implement streaming updates, interrupts, and human-in-the-loop steps as needed. Partner with other engineers to set direction, mentor, and unblock the team — helping establish strong foundations for the AI initiative. Build in quality from day one: automated tests, evaluation checks, monitoring/telemetry, and performance optimization for network-bound workloads. Participate in Agile ceremonies (daily scrums, refinement/grooming, planning) and collaborate through peer review, pair programming, and strong documentation. Apply best practices, design principles, and security standards throughout the SDLC, with a focus on reliability and responsible AI. Key Requirements: Strong software engineering background (not a research-only data science profile): designing, building, and operating production systems. Proficiency in at least one backend language used for AI systems (Python preferred). Hands-on experience building and integrating RESTful APIs ; GraphQL experience is a plus. Strong understanding of distributed systems fundamentals : concurrency, async I/O, resiliency/retries, rate limits, caching, and performance optimization. Experience integrating with external services and internal platforms via APIs and event-driven patterns. Solid database fundamentals (SQL design, performance, migrations); experience with vector search is required, and hybrid search stores are a plus. Hands-on experience building LLM-powered applications end-to-end : prompt design, tool/function interfaces, structured outputs, and streaming user experiences. Experience with RAG systems : document ingestion pipelines, chunking/metadata, embeddings, retrieval strategies, grounding, and evaluation. Cloud services expertise : Strong knowledge of Azure cloud services used for enterprise AI solutions (e.g., Functions, Storage, Key Vault, App Configuration, Application Insights). Development practices experience : Strong background in unit and integration testing; ability to build and maintain AI evaluation harnesses (golden sets, regression tests, automated checks). Nice to Have: Direct experience with LangGraph and/or LangChain for multi-agent workflows. Familiarity with emerging agentic ecosystem concepts/protocols (e.g., MCP, A2A, ADK or similar). Experience integrating AI services into .NET (ASP.NET Core) applications or building AI microservices that serve enterprise applications. Experience with event-driven architectures (service bus, event hubs) and real-time updates/streaming to UI. Experience working with tax/enterprise document corpora and governance constraints (PII, retention, access control). Other Details: This position is designed for remote work and has a flexible duration, allowing for innovation in the AI space within an agile environment.

🏢 Summary: Lead Python AI Engineer role focused on building and leading the development of a GenAI agent that leverages past RFP/RFI data to automate and accelerate responses. The position involves designing agentic AI solutions with LangChain/LangGraph, implementing RAG pipelines, and deploying scalable GenAI workloads on AWS. The engineer will guide the team technically while ensuring reliability, compliance, and production readiness of AI services. 🗂️ Requirements: 5+ years Python development experience, Recent experience with LLM or GenAI projects, At least 1 year leadership experience, Hands-on experience with LangChain or LangGraph, Experience designing agentic AI systems, Experience building RAG pipelines, Expertise in AWS for GenAI workloads, Knowledge of vector databases and embeddings, Experience with prompt engineering, Proficiency with Docker, Experience with Git-based CI/CD, Experience with automated testing, Upper-Intermediate (B2) English proficiency 📃 Skills: Python, LangChain, LangGraph, AWS, LLM, GenAI, RAG, Docker, Git, CI/CD, VectorDB, Embeddings, Prompting, Serverless, Containers 🏢 Description: We are looking for a Lead Python AI Engineer who has hands-on experience with agentic AI frameworks (LangChain, LangGraph, etc.) and knows how to run GenAI workloads on AWS. You will join the team building a GenAI agent that learns from past RFP/RFI responses and helps teams answer new requests faster. Responsibilities Build Python services that power the GenAI agent using LangChain, LangGraph, or similar libraries Create retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless functions, or managed AI services Instrument logging, monitoring, and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaborate with product, data science, and business teams to make sure the agent solves real problems Document code, APIs, and deployment steps so others can maintain and extend the solution Work within an Agile team and contribute to planning, demos, and retros Lead and technically guide the team Requirements 5+ years of Python development experience, with a recent focus on LLM or GenAI projects At least 1 year of relevant leadership experience Hands-on experience with LangChain, LangGraph, or comparable agent frameworks Expertise in Amazon Web Services for running GenAI workloads Understanding of agentic design patterns and how to wire tools, planners, and memory together Knowledge of vector databases, embeddings, and prompt engineering Proficiency in Docker, Git-based CI/CD, and automated testing Skills in leveraging AI-assisted development tools (e.g., Cursor, GitHub Copilot, Code Interpreter) to accelerate prototyping and code reviews Solid communication skills and the ability to work with technical and non-technical stakeholders English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review, or safety tooling AWS or Python certifications We offer/Benefits 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: The role involves designing and building GenAI-powered services in healthcare using Python, focusing on creating RAG-based LLM agents and deploying scalable solutions on AWS. The engineer will develop, deploy and maintain AI agents with proper monitoring, guardrails and data compliance. The position requires strong full-stack and AI expertise to deliver reliable, production-ready intelligent systems. 🗂️ Requirements: 5+ years of Python or ReactJS development experience, Recent hands-on experience with LLM or GenAI projects, Hands-on expertise with LangChain, LangGraph or similar frameworks, Understanding of agentic design patterns (tools, planners, memory), Knowledge of vector databases and embeddings, Experience with prompt engineering, Proficiency with Docker, Experience with Git-based CI/CD, Experience with automated testing, Ability to deploy solutions on AWS 📃 Skills: Python, ReactJS, LangChain, LangGraph, LLM, GenAI, RAG, AWS, Docker, Git, CI/CD, Testing, Embeddings, VectorDB, Prompting 🏢 Description: We are seeking a Senior Python AI Engineer (Full Stack) to design and build intelligent GenAI-powered services that solve real business challenges in the healthcare space. In this role, you will develop Python services that power GenAI agents, create retrieval-augmented generation flows, and deploy scalable solutions on AWS while collaborating with cross-functional teams to deliver reliable and safe AI experiences. Responsibilities Build Python services that power the GenAI agent, using LangChain, LangGraph or similar libraries Create retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless or managed AI services Instrument logging, monitoring and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaborate with product, data science and business teams to make sure the agent solves real problems Document code, APIs and deployment steps so others can maintain and extend the solution Contribute to planning, demos and retros within an Agile team Requirements 5+ years of experience in Python or ReactJS development, with recent focus on LLM or GenAI projects Hands-on expertise in LangChain, LangGraph or comparable agent frameworks Understanding of agentic design patterns and how to wire tools, planners and memory together Knowledge of vector databases, embeddings and prompt engineering Proficiency in Docker, Git-based CI/CD and automated testing Familiarity with AI-assisted development tools (e.g., Cursor, GitHub Copilot, Code Interpreter) to accelerate prototyping and code reviews Solid communication skills and the ability to work with technical and non-technical stakeholders Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Background in integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review, or safety tooling AWS or Python certifications We offer/Benefits 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.