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