Senior AI Engineer

Quick Facts

• Build evaluation-driven, secure, scalable agentic systems
• Architect multi-agent workflows and tool interfaces
• Design RAG systems and production-grade AI applications

Description

Build evaluation-driven, secure, and scalable agentic systems by architecting multi-agent workflows, engineer robust tool interfaces, and coding AI-first every day. The role includes building RAG solutions grounded in proprietary data, ensuring AI outputs are structured for rich UI rendering, and creating evaluation/testing pipelines to measure agent performance, reliability, and accuracy in production. You will take validated prototypes to production readiness, covering guardrails, security, cost, and scale.

Responsibilities

• Architect, build, and orchestrate complex multi-agent workflows using LangGraph and LangChain
• Develop and maintain reliable tool definitions for internal API interaction (parse, validate, utilize data)
• Build and optimize RAG systems to ground model responses in proprietary data
• Ensure AI responses are structured for rich UI rendering (dynamic graphs, charts, interactive elements)
• Create rigorous testing frameworks, evaluation pipelines, and production metrics
• Move validated prototypes to production readiness, addressing guardrails, security, cost, and scale
• Debug and optimize multi-agent workflows with focus on asynchronous execution, state management, and 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 in designing and integrating with complex REST and GraphQL endpoints
• Competency in handling structured data formats (JSON, XML) for tool calling
• Hands-on experience with containerization using Docker
• Knowledge of cloud platforms such as AWS, GCP, or Azure for deploying production-grade AI applications
• Understanding of vector databases (Pinecone, Weaviate, Chroma) and embedding strategies for semantic search and RAG
• English proficiency at an Upper-Intermediate level (B2) or higher

Benefits

• Hybrid by design with the opportunity to work remotely within Poland
• Opportunity to work abroad for up to 60 days annually
• Business-driven relocation opportunities
• Career development programs and mentoring
• Thought leadership, soft skills, and well-being programs
• Certifications (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Stable pay and Employee Stock Purchase Plan (15% discount)
• Health insurance, multisport, and shopping vouchers
• Referral bonuses up to $2,000
• Social events and additional office amenities (snacks, coffee, entertainment zones)
• Note: Benefits are available to employees only; B2B/contractor terms may be agreed individually