Agentic AI Engineer

About Multiscale AI
Multiscale AI provides AI Agents and Digital Twins for Semiconductor Manufacturing. With offices in Atlanta, San Francisco, and Hyderabad, we help semiconductor manufacturers optimize fabs and achieve measurable results.

The Role
We're building the world's first vertical-AI platform for microelectronics and materials science. Our platform powers autonomous AI agents that design experiments, optimize manufacturing steps, and accelerate scientific discovery. You'll lead the charge in architecting and scaling these agentic systems.

What You'll Build
Multi-agent orchestration layers using LangGraph - deterministic, observable, and built to survive real production conditions
MCP server and tool registration APIs that give agents persistent context and shared state across complex workflows
Enterprise security primitives: RBAC for agents, authentication passthrough, user impersonation, and immutable audit trails
Network-isolated LLM serving for air-gapped semiconductor customer environments
RAG pipelines and vector store architectures tuned for materials science and fab domain retrieval
CI/CD pipelines and zero-downtime deployment patterns that keep production systems reliable
The API contracts with the core Multiscale AI platform - the foundation everything else depends on
Sandboxed, per-session compute for agents - isolated containers, orchestration and scheduling of long-running agent workloads
Durable agent state and event streams - checkpointing, resumable runs, and auditable histories of every agent action
Streaming chat APIs with reconnection, plus monitoring and evaluation of agents in production
What We're Looking For
3-5 years building production AI/ML systems - shipped and running, not demo-grade
Hands-on with LangGraph or equivalent; you have opinions on orchestration frameworks and can defend them
You've thought hard about how agents fail in production and built systems that recover gracefully
Experience with enterprise security patterns: RBAC, auth passthrough, audit logging, or SOC 2 compliance
Comfortable deploying on GCP (Vertex AI), AWS, or Azure - Docker and Kubernetes are second nature
You understand RAG pipelines end to end - embeddings, retrieval, evaluation, and where they break
Nice to Have
Any exposure to semiconductor manufacturing, fab operations, or materials science
Experience with network-isolated or air-gapped deployment environments
Open-source work or side projects in agentic AI - we want to see what you've built
Why Join Us
You'll architect systems that don't exist yet - real ownership from day one
Small team, fast decisions, direct access to customers and their hardest problems
Work at the intersection of frontier AI and one of the world's most complex engineering domains
Competitive compensation
Location: Hyderabad, India. Full-time. Preferred ON SITE. REMOTE can be considered for some positions
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