Senior AI Engineer

Quick Facts - Role: Senior AI Engineer - Focus: evaluation-driven, secure, scalable agentic systems Description Build evaluation-driven, secure, and scalable agentic systems by architecting multi-agent workflows, robust tool interfaces, and Retrieval-Augmented Generation (RAG) grounded in proprietary data. Structure AI responses for rich UI rendering (e.g., dynamic graphs, charts, and interactive elements), and create testing and evaluation pipelines to measure production reliability and accuracy. Move validated prototypes to production by implementing guardrails, security, cost controls, and scalable asynchronous execution. Responsibilities - Architect, build, and orchestrate complex multi-agent workflows using LangGraph and LangChain - Develop and maintain reliable tool definitions for internal API interactions (parse, validate, and use data) - Build and optimize RAG systems for grounded responses - Ensure AI outputs are structured for rich UI rendering - Create evaluation frameworks, testing pipelines, and metrics for agent performance, reliability, and accuracy - Take prototypes to production readiness with guardrails, security, cost, and scale - Debug and optimize multi-agent workflows (asynchronous execution, state management, concurrency) - Deploy and maintain production-grade AI applications with a DevOps mindset Requirements - 3+ years of relevant experience in AI Engineering or a related field - Proficiency in Python and the modern AI engineering stack - Expertise in LangChain, LangGraph, and OpenAI SDK - Familiarity with Hugging Face Transformers and multi-agent workflow optimization - Skills in asynchronous execution, state management, and concurrency - Background designing and integrating with complex REST and GraphQL endpoints - Competency with structured data formats (JSON, XML) for tool calling - Hands-on experience with Docker - Knowledge of cloud platforms (AWS, GCP, or Azure) - Understanding of vector databases (Pinecone, Weaviate, Chroma) and embedding strategies for RAG - English proficiency at Upper-Intermediate level (B2) or higher Benefits - Hybrid-by-design mode with opportunity to work remotely within Poland; chance to work abroad up to 60 days annually - Career development programs, mentoring, and soft skills/well-being programs - Certification support (Anthropic, Gemini, GCP, Azure, AWS) and English classes - Stable pay and Employee Stock Purchase Plan with a 15% discount - Health insurance, multisport, shopping vouchers, and referral bonuses up to $2,000 - Corporate, social, and well-being events; office perks (snacks, coffee, entertainment zones)