AI / ML Practice Head

Required Qualifications

10+ years in software engineering, with 4+ years specifically in AI / ML or Agentic AI systems

Deep experience with LLMs, embeddings, vector search, knowledge graphs, and RAG / GraphRAG pipelines

Strong programming expertise in Python (LangChain, Haystack, FastAPI), and modern backend frameworks

Hands-on cloud experience across AWS, Azure, GCP or multi-cloud strategies; familiarity with FinOps is a plus

Hands‑on experience with AI frameworks : LangChain, Hugging Face, OpenAI / Anthropic, Autogen, Semantic Kernel.

Proven track record in designing and scaling distributed microservices, serverless functions, and CI / CD workflows.

Familiarity with AI‑augmented developer tools (Cursor, Windsurf, GitHub Copilot, Tabnine).

Strong understanding of cloud billing, performance tuning, telemetry, and cost drivers

Prior experience building agent orchestration systems, AI copilots, or autonomous workflows preferred

Excellent communication skills, with the ability to translate vision into scalable systems

What We Offer

Competitive salary and founder-level equity package (stock options) with a cliff + vesting schedule

Cutting‑edge AI research and production challenges, opportunity to lead the AI architecture for a high-growth startup in stealth

Collaborative culture that values innovation and continuous learning

Access to an elite network of FinOps experts, cloud architects, and AI advisors

Professional development stipend and mentorship opportunities