Python AI Engineer

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
• 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 ensure 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

• 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
• Outstanding career roadmap
• Leadership development, career advising, soft skills and well-being programs
• Certification opportunities (GCP, Azure, AWS)
• Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
• English classes
• Stable income (Employment Contract or B2B)
• Participation in the Employee Stock Purchase Plan
• Benefits package (health insurance, multisport, shopping vouchers)
• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks and coffee
• Referral bonuses
• Corporate, social and well-being events

Please note: The set of bonuses might vary based on the role.