AI agent 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.

• 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.

• 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
• English proficiency at A2 level or higher
• Будет плюсом: 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, models training, model evaluation, Overfitting, regularization, cross-validation, Knowledge of statistical methods and probability theory

• Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota
• Competitive compensation that depends on your qualification and skills
• Career development system with clear skill qualifications
• Options to work remotely
• Compensation for medical expenses
• English courses online
• Corporate parties and events for employees and their children
• Internal conferences, workshops and meetups for learning and experience sharing
• Gym membership compensation, corporate sport competitions (cybersport included)
• 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate