•••• is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.

Responsibilities:

  • Design, implement, and scale core AI capabilities and agent workflows for the Dev Team Assistant (DTA) platform.

  • Build and refine intelligent routing, dynamic agent coordination, and multi-assistant orchestration patterns.

  • Optimize response quality, inference latency, system throughput, and RAG retrieval accuracy.

  • Take ownership of key technical decisions and define the long-term AI application architecture.

  • Integrate newly developed domain-specific assistants and external enterprise services into the central platform.

  • Implement robust AI observability, automated evaluation pipelines, and DevSecOps best practices.

  • Act as a senior technical mentor and sparring partner in an agile, cross-functional delivery team.

Skills

  • Strong hands-on software engineering background in Python.

  • Production experience building LLM-powered applications, multi-agent systems, and enterprise RAG architectures.

  • Framework expertise with LangGraph and/or LangChain for stateful workflow orchestration.

  • Practical experience evaluating, benchmarking, and optimizing LLM and agent outputs.

  • Building and deploying high-performance APIs using FastAPI.

  • Cloud deployments using Azure OpenAI Service and Azure Web Apps.

  • Proactive problem-solving skills in emerging tech areas without established playbooks.

  • Professional working proficiency in English with transparent, collaborative communication.

Nice to have:

  • Frontend development skills with React and TypeScript.

  • DevOps practices: CI/CD automation, testing frameworks, application security, networking, and Terraform.

  • Hands-on experience operating within secure, governed Microsoft Azure enterprise environments.

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