Senior AI Engineer (AI Agentic Systems/Backend/Frontend)

We're seeking a Lead Founding AI Engineer who's equally adept at building robust BACKEND AND FRONTEND (python, next.js/react.js) and bootstrapping AI agents using the latest AI development platforms across AWS, Azure, GCP and opensource ecosystems, with a proven track record in building Autonomous AI Agents, leading high-performance technical teams, and translating domain expertise into scalable, intelligent systems. This individual will play a critical role in architecting, implementing, and scaling our AI-driven platform across public, private, hybrid, and multi-cloud environments.

Required Qualifications

• 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, Fast API), and modern backend frameworks
• Hands-on cloud experience across AWS, Azure, GCP or multi-cloud strategies; familiarity with FinOps is a plus
• Handson 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 AIaugmented 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 You Bring

• Visionary mindset with a pragmatic, execution-first approach
• A founder's sense of ownership and drive
• Curiosity about AI and agentic systems with a hunger to innovate
• Ability to thrive in ambiguity, take feedback from multiple stakeholders, and adapt to evolving priorities
• Experience with autonomous agent frameworks (AutoGPT, CrewAI, LangGraph).
• Knowledge of vector databases (Pinecone, Weaviate) and RetrievalAugmented Generation patterns.
• Contributions to opensource AI/agentic projects.
• Advanced degree in Computer Science, AI, Machine Learning, or related field.

What We Offer

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