Description
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.
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, models training, model evaluation
•Overfitting, regularization, cross-validation
•Knowledge of statistical methods and probability theory
We can 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
•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
