Agentic AI Architect

We are looking for a Agentic AI Architect to join our team and help build cutting-edge agentic AI systems that automate the entire software development lifecycle.

Requirements

• Hands-on experience designing and developing agentic systems using the following frameworks: LangGraph, LangSmith, LangChain, Pydantic, Braintrust.dev, Arize, OpenRouter, or similar.
• Hands-on experience with designing and developing production-grade agentic systems using agent engineering, including prompt engineering, context engineering and context usage optimization, designing and builidng evals (offline and online), designing and implementing agent tools (including MCP), memory engineering.
• Hands-on experience with rapidly iterating on design and implementation of agentic workflows, making hypotheses, adjusting evals, tuning system prompts, developing specialized agent tools to improve performance of agentic workflows towards the defined targets.
• Experience designing REST APIs and integrating with external APIs, proficiency with Python and FastAPI.
• Hands-on experience with Agentic AI-powered coding tools, like Github Copilot, Cursor, Windsurf, Cline, RooCode, Claude Code, OpenAI Codex; experience with customizing agentic workflows, rules and prompts is considered an advantage.
• Experience designing and implementing secure and safe agentic systems, including guardrails, LLM/agentic threat modeling, hardening and red teaming is considered an advantage.
• English: Upper-Intermediate/Advanced.

Responsibilities

• Primary responsibility is hands-on design and implementation of an Agentic AI engine enabling development of agents automating the software development lifecycle, from specs to design, to coding and testing.
• Design and implement a state-of-the-art agentic AI engine for automating activities in the software development lifecycle.
• Actively participate in the development and analysis of requirements for the agentic engine and adjacent ecosystem.
• Design and implement multi-agent squads across different stages and dimensions of the software development lifecycle.
• Apply best industry methodologies, patterns, and practices to agent engineering activities, including context engineering with practices such as task breakdown and execution, RAG, memory, process, and artifact quality evaluations.
• Develop and document architecture vision, agentic architecture, and design documents.
• Integrate the agentic AI engine with other parts of the landscape.
• Communicate effectively with stakeholders and external clients.