AI Agent Middle/Senior Developer

We are looking for a skilled AI Agent Developer to join the 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 and vector search
• Prompt and context engineering
• RAG, CRAG, and GraphRAG
• LangChain, LangGraph, and CrewAI
• Agent testing and verification
• Agentic tools and skills
• AI-assisted coding models and 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 level sufficient for efficient technical and business communication with native speakers

Nice to Have

• Autonomous Agents and Deep Agents
• Model types and capabilities, including Thinking and Multimodal models
• LLMOps
• GenAI observability
• Memory management and prompt caching
• Model Governance and Data Governance (Responsible AI)
• Basic knowledge of cloud infrastructure
• Agentic patterns
• Integration mechanics, including MCP and AA-protocol
• Basic understanding of machine-learning fundamentals: supervised learning, feature engineering, model evaluation, overfitting, regularization, and 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 output quality
• Optimize inference pipelines for speed, cost efficiency, and model/tool selection

We Offer

• Projects for clients including PayPal, Wargaming, Xerox, Philips, Adidas, and Toyota
• Competitive compensation based on qualifications and skills
• Career development system with clear skill qualifications
• Flexible working hours aligned to your schedule
• Remote work options