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. 

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

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

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

• Flexible working hours aligned to your schedule

• Options to work remotely