Summary
✨ AI‑Generated
A senior full-stack engineering opportunity in Poland focused on building sophisticated enterprise software. You will use Python and FastAPI on the backend and React on the frontend, while designing, extending, and debugging AI-powered agentic systems using modern frameworks. The role requires strong production engineering experience and offers exposure to complex, large-scale business environments.
Highlights
Join a senior engineering role combining modern Python and React development with advanced AI and agentic technologies, working on sophisticated enterprise-scale software solutions.
Description
instinctools is a software development company that provides custom software solutions for businesses of all sizes.
Our team works closely with clients to understand their specific needs and provide personalized solutions that meet their business requirements.
*instinctools is looking for a Senior Fullstack Engineer (Python+React) for one of our clients.
Location: Poland
Our Client is one of the TOP-5 global management consulting firms considered to be among the most prestigious ones in the world.
Hundreds of customers from Fortune-500, including the largest global financial institutions, the world’s top media companies, technology companies and federal government agencies rely on our Client’s proven platform and services.
Our expectations of the ideal candidate:
At least 5 years of professional software engineering experience.Strong backend Python with FastAPI in productionHands-on with the AI/agentic stack: LangGraph (primary), LangChain — designing, extending and debugging multi-step workflows with branching logicAWS Bedrock / AgentCore, or comparable experience running agents in a managed cloud environmentPostgreSQL — confident SQL, able to inspect and debug the data behind a pipelinePandas, working with Excel-based data inputsNext.js / React — enough to define components and wire agent outputs into the UIActively uses modern AI dev tools day to day (Cursor, Claude Code, Codex) — the codebase is explored primarily through AI assistantsAbility to design robust APIs and backend services that scaleNice to have:
MCP / FastMCPWeb scraping and external data ingestionContainerized deployments (Docker), familiarity with cloud-native and serverless architecturesInfrastructure as code (Terraform), troubleshooting cloud environments
Tasks:
Develop, test, debug, and maintain application code using Python for Generative AI solutions.Deploy, configure, and manage applications on AWS, including resource provisioning, infrastructure as code (IaC), and performance and cost optimization.Design and support Retrieval-Augmented Generation (RAG) pipelines using PostgreSQL and/or OpenSearch/ ElasticSearch for storing and querying vectorized data.Integrate and work with AI platforms and APIs, including OpenAI APIs and AWS Bedrock, to build scalable Generative AI applications and agents.Evaluate and implement Generative AI frameworks and tools, prioritizing efficient direct API integrations when appropriate.Research and develop multi-agent AI solutions using frameworks such as AutoGen and similar technologies.Troubleshoot application, infrastructure, and integration issues, ensuring high availability, reliability, and optimal system performance.Collaborate with cross-functional and geographically distributed teams across North America, Europe, and Latin America to deliver impactful AI-driven solutions.
