Senior Forward Deployed AI Engineer (Remote — India, U.S. hours)

📍 Location: Remote — India (must work U.S. business hours)

💼 Experience: 10+ years in software engineering, including 4+ years architecting and developing AI applications

🚀 Role: Expert full-stack, multi-cloud AI engineer — architect and ship production AI end to end across multiple client projects simultaneously

Job Description :

We're looking for an exceptional, fast-moving engineer — a true doer who ships production AI at a speed and quality most teams simply can't match. This is a rare, high-ownership role for someone who can whiteboard an architecture in the morning, write the code that makes it real in the afternoon, deploy it across clouds by end of week, and do all of it while running multiple client projects in parallel. You're an expert full-stack developer and a master of multi-cloud architecture, development, and deployment. You live on the edge of AI — constantly exploring the latest advancements and turning them into the best AI applications. You won't stop at prototypes, proofs of concept, or slide decks; you'll own real systems from problem definition to production and beyond. You think from first principles, find the right system boundaries before reaching for a tool, and move faster with AI coding tools — especially Claude Code — than a team several times your size. You go deep on RAG and multi-agent systems, hold the line on security and governance even under deadline pressure, and measure yourself by what actually ships and works. If that sounds like you, we want to talk.

This is not a pure AI engineer role, and not a pure DevOps or front-end role. We need a genuine full-stack generalist who is world-class in a few areas, dangerous in many, and quick to close every gap.

What you'll do:

• Architect and build AI applications end to end — data model, backend services, model and retrieval layer, UI, and deployment — owning each from design review to production
• Deliver across multiple client projects simultaneously, context-switching cleanly and keeping every workstream moving
• Architect, develop, and deploy multi-cloud applications across AWS, GCP, and Azure (cloud-agnostic preferred), using containers, serverless, CI/CD, and infrastructure as code
• Build responsive, accessible full-stack features end to end — modern UI development with React, Angular, JavaScript, TypeScript, Next.js, etc., alongside REST and event-driven backend services and microservices
• Design and operate production RAG and GraphRAG pipelines: ingestion, chunking, embedding, hybrid retrieval, re-ranking, grounding, and continuous evaluation
• Architect and develop multi-agent / agentic workflows — planning, tool use, memory, routing — with deterministic, replayable orchestration, guardrails, and human-in-the-loop checkpoints
• Continuously explore the latest AI advancements and fold them into production to keep our applications best-in-class
• Own AI governance and security end to end: authentication, role-based access, secrets management, encryption, audit trails, provenance and lineage, and PII/PHI handling baked in from day one
• Translate ambiguous business problems into clear technical designs, working systems, and measurable outcomes — and communicate progress, risks, and trade-offs plainly
• Produce the documentation and runbooks that let others run what you builtWhat we're looking for:
• 10+ years in software engineering, with 4+ years architecting and developing AI applications
• Expert full-stack developer — equally strong across front end, backend, APIs, and data
• Expert in modern UI development — React, Angular, JavaScript, TypeScript, Next.js, etc.
• Expert in multi-cloud application architecting, development, and deployment across AWS, GCP, and Azure
• An expert, fast coder and doer — you turn ambiguity into deployed, reliable systems quickly, without cutting corners
• Expert-level, daily mastery of Claude Code, plus strong command of other AI coding tools (Cursor, Codex) as a primary accelerant for real delivery
• A genuine builder on the frontier — constantly exploring the latest AI advancements and shipping the best AI applications from them
• Proven end-to-end delivery into production across multiple concurrent projects — real systems, not POCs
• Strong in Python, TypeScript, and Java, and genuinely quick to master new stacks and tools
• Deep hands-on experience with LLMs and prompt engineering, and production RAG — embeddings, chunking and retrieval strategy, and vector databases (Pinecone, Weaviate, Milvus, Qdrant, Chroma, pgvector, FAISS, or OpenSearch)
• Proven experience architecting and shipping multi-agent / agentic systems (LangChain, LlamaIndex, LangGraph, MCP, or similar)
• Strong full-stack and architecture judgment: separating model/calculation engines from the UX layer, preventing logic leakage across layers, and designing for extensibility without parallel code paths
• Solid cloud-native, CI/CD, Docker/Kubernetes, and relational + NoSQL database fundamentals
• Clear written and spoken English, and the maturity to work credibly with both technical and non-technical stakeholders
• Based in India and able to reliably work U.S. business hours with strong daily overlapBonus points:
• Healthcare domain experience and PII/PHI, HIPAA-style compliance, and secure data handling
• GraphRAG and knowledge graphs in production (Neo4j), and DAG-based reasoning
• Workflow orchestration at scale (Temporal, Airflow, or similar) and event-driven architecture with streaming platforms (Kafka, Pub/Sub, Kinesis)
• Model evaluation, guardrails, and observability tooling (Datadog, Prometheus/Grafana, LangSmith)
• A track record of shipping your own products or meaningful open source — we weight real output heavily

This is a remote role based in India, working U.S. business hours across multiple concurrent client projects. If this is you, send a note with links to work we can see — repos, demos, or deployed products. Show us the hardest AI system you've personally shipped to production and what your role was.