Tech Stack
PythonMachine LearningA/B TestingAIProblem SolvingCommunicationLangChainLangGraphCrewAIRAG
Job Description, Responsibilities & Requirements
About the Position
AI Agent Middle/Senior Developer
We are looking for a skilled AI Agent Developer to join our AI team. You should have proven production experience with AI systems and a strong interest in learning and growing with modern agent technologies.
Location: Remote, Poland
Responsibilities
- Develop, implement, and optimize AI agents capable of autonomous decision-making, reasoning, and tool-usage in real-world scenarios
- Build and maintain pipelines for agent planning, memory, retrieval, and multi-step task execution
- Integrate LLMs, vector stores, APIs, and external tools to enable complex agent behaviors
- Design and refine prompting strategies, reasoning chains, and agent policies to improve reliability and accuracy
- Implement evaluation frameworks for agent performance, safety, and robustness across diverse tasks
- Monitor agent behavior in production, troubleshoot failures, and continuously improve quality of outputs
- Optimize inference pipelines for speed, cost efficiency, and model/tool selection
Requirements
- Strong Python skills and proven production experience with Agentic ecosystems
- Embeddings & Vector search
- Prompt & Context engineering
- RAG, CRAG, GraphRAG
- LangChain, LangGraph, CrewAI
- Agent's testing & verification
- Agentic Tools and skills
- AI-assisted coding models & tools
- Strong analytical and problem-solving mindset
- Ability to clearly communicate findings and trade-offs
- Ownership of tasks from research to implementation
- Curiosity and willingness to explore new approaches
- Level of English enough for efficient technical and business communication with native speakers
Nice to Have
- Autonomous Agents & Deep Agents
- Model types and capabilities (Thinking, Multimodal models)
- LLMOps
- GenAI Observability
- Memory management & Prompt caching
- Model Governance & Data Governance (Responsible AI)
- Basics knowledge of Cloud infrastructure
- Agentic patterns
- Integration mechanics (MCP, AA-protocol)
- Basic understanding of machine learning fundamentals: Supervised learning, feature engineering, model evaluation; Overfitting, regularization, cross-validation
- Knowledge of statistical methods and probability theory
We Offer
- Projects for clients such as PayPal, Wargaming, Xerox, Philips, Adidas, and Toyota
- Competitive compensation that depends on your qualification and skills
- Career development system with clear skill qualifications
- Flexible working hours aligned to your schedule
- Options to work remotely
About the Company
Join Itransition as an AI Agent Middle/Senior Developer to work on cutting-edge AI systems. Develop, implement, and optimize AI agents for autonomous decision-making and reasoning.
Apply for this position by filling in the form beside or sending your CV to [email protected]