[Hiring] Principal AI Engineer @BairesDev

Role Description

In this role, you'll set technical direction and own the architecture for an enterprise AI assistant serving thousands of employees, where a central orchestrator routes to specialized agents across multiple business functions. Staying hands-on in code most of the time, you'll make the hard calls on orchestration design, retrieval strategy, and evaluation, defending your choices against alternatives rather than defaulting to whatever a framework suggests. This is your opportunity to shape how an enterprise-scale agentic system is built from the ground up, while mentoring distributed teams and carrying technical judgment on future hires.

What You'll Do

• Set technical direction and own architecture for an enterprise-scale agentic AI platform.
• Design multi-agent orchestration, including skill invocation and routing across specialized agents.
• Own retrieval strategy across structured and unstructured data sources.
• Build and evolve the evaluation harness used to validate AI system behavior.
• Mentor distributed engineering teams and guide technical hiring decisions.

Qualifications

• 8+ years of experience in Python.
• Proven experience owning an agentic or LLM platform end to end in production, from architecture through operation.
• Deep expertise in LangChain and LangGraph, including multi-agent orchestration, state, and tool/skill invocation.
• Strong LLM evaluation strategy experience, including LLM-as-judge, offline evals, and golden dataset design.
• Experience with RAG over structured and unstructured sources.
• Experience with React and TypeScript.
• Experience with agent-to-agent communication patterns (A2A) and service-to-service agent integration.
• Experience with model gateway and routing such as Bedrock or LiteLLM.
• Experience with LangSmith tracing and eval harness construction.
• Experience with streaming over WebSockets using LangGraph API or similar.
• Background with CI/CD and observability for AI services, including SLOs and eval regression gates.
• Experience with distributed systems, microservices, and REST/GraphQL on AWS.
• Advanced proficiency in English.

Nice To Have

• Experience with MCP server and tool integration.
• Experience with vector database selection and tuning, including Pinecone, FAISS, Qdrant, or pgvector.
• Familiarity with graph analytics and generated data visualization.

Benefits

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred.
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.