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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.
Job Responsibility:
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
What we offer:
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