We are looking for a Lead Agentic AI Developer to design and build enterprise-grade coding agents and AI-powered software development automation.

In this hands-on role, you will create intelligent agents capable of understanding requirements, navigating complex codebases, planning and implementing changes, generating tests, reviewing code, troubleshooting issues, and automating engineering workflows across the SDLC.

• Design and build AI coding agents for feature development, bug fixing, testing, code review, documentation, and engineering automation
• Create specification-driven workflows that transform requirements into implementation plans, code changes, tests, and technical documentation
• Develop multi-agent systems involving planning, development, review, testing, and validation agents
• Implement codebase understanding, repository navigation, dependency analysis, tool calling, memory, and task decomposition
• Integrate agents with GitHub or GitLab, Jira, CI/CD pipelines, IDEs, APIs, and other engineering tools
• Build and integrate MCP servers and tools, as well as A2A communication
• Develop Python-based orchestration services and integrate them with .NET applications and enterprise platforms
• Automate unit, functional, regression, and code-quality testing
• Establish agent evaluation and observability covering task completion, code quality, test results, hallucinations, costs, and execution traces
• Implement secure execution environments, permissions, human approvals, and guardrails for autonomous agents

• Strong hands-on software engineering experience with Python or .NET/C#
• Experience building GenAI applications, agentic systems, or AI coding assistants
• Solid knowledge of software architecture, SDLC, code generation, testing, debugging, and CI/CD
• Experience with LangGraph, OpenAI Agents SDK, Semantic Kernel, AutoGen, CrewAI, or similar frameworks
• Strong understanding of MCP, A2A, tool calling, agent memory, workflow execution, and multi-agent orchestration
• Experience connecting LLMs with source-code repositories, developer tools, APIs, and enterprise knowledge bases
• Proficiency with Git, GitHub or GitLab, Docker, Kubernetes, and cloud-native development
• Experience with observability and evaluation tools such as Langfuse, OpenTelemetry, LangSmith, MLflow, or Phoenix

Nice to have

• Experience building autonomous software engineering agents or internal developer platforms
• Knowledge of specification-driven development, story-to-code automation, test generation, and automated code validation
• Experience creating reusable engineering productivity tools or AI-powered SDLC platforms
• Familiarity with enterprise SaaS, AWS, RAG, knowledge graphs, and large-scale codebase analysis

• EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
• Licenses for AI tools: GitHub Copilot, Cursor, and others
• Expanded medical support for employees in Tashkent
• 19 working days of vacation per year, 21 after two years in the company
• Corporate getaway & teambuilding activities
• Support for the significant events in your life
• Referral bonuses for bringing in new talent