Lead Software Engineer - Agentic AI

What you'll do

• Define the agent platform roadmap and lead delivery of platform components, SDKs, reference implementations, and integration patterns.
• Set standards for workload quality, performance, monitoring, testing, and incident readiness; guide experimentation into scalable production deployments.
• Partner with product, engineering, risk, and control stakeholders, and promote responsible AI and validated AI-assisted engineering practices.

What they ask for

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Proficiency in Python and/or TypeScript, Java, or Go for enterprise backend integration.
• Production experience with agentic frameworks and orchestration, plus expertise in tool/function calling, API integration, and MCP.
• Experience with RAG and hybrid search, scalable backend/API design, agent memory, and LLM prompting and guardrails.

Nice to have

• Experience with agent-based systems, orchestration, agent tooling, or evaluation frameworks; or scalable inference/model serving.
• Familiarity with responsible AI, model risk and governance, open-source ML or infrastructure, or regulated financial services.

Tools

Python, TypeScript, Java, Go, Pinecone, Milvus, Qdrant, pgvector

AI focus

Builds and operates an agentic AI platform, including orchestration, RAG, tool calling, memory, LLM guardrails, and responsible deployment. Also leads adoption of enterprise-authorized AI-assisted engineering tools.