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 scheduleCutting‑edge AI research and production challenges, opportunity to lead the AI architecture for a high-growth startup in stealthCollaborative culture that values innovation and continuous learningAccess to an elite network of FinOps experts, cloud architects, and AI advisorsProfessional development stipend and mentorship opportunitiesSkills Required
Cursor, Python, Aws, Gcp, FastAPI, Azure