7+ years in software engineering, with 3+ 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
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Lead Ai Engineer • tirupati, India
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