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Senior Full-Stack AI Engineer
Title : Senior Full-Stack AI Engineer – AI-Enabled Help Desk (GCP)
Location : Remote
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Responsibilities
Own architecture and implementation of a RAG-based AI Help Desk backend :
Ingestion + indexing of KB docs (markdown / HTML / PDF)
Chat API with conversation history, role context, and tier classification
Guardrails (prompt injection / adversarial prompt detection)
Ticket creation + escalation logic & tier routing
Replace existing front-end mock AI simulator with real backend APIs in the provided repo (pcte-ai-help-desk-demo).
Implement analytics & monitoring endpoints to power the Help Desk dashboard and trend analysis (ticket topics, deflection rate, SLA metrics, guardrail activations, etc.).
Design and implement secure, scalable deployment on GCP (Cloud Run, Cloud SQL / Firestore, Cloud Storage, etc.).
Apply best practices :
Clean architecture, separation of concerns
API versioning and documentation (OpenAPI / Swagger)
Automated tests (unit + at least one end-to-end)
Observability (structured logging, basic tracing / metrics)
Secure secrets management and least-privilege IAM
Produce clear technical documentation (architecture, APIs, deployment instructions).
Prepare a short demo walkthrough aligned with Army use-cases : Tier 0 self-service, guardrails, escalation, human takeover.
Required Skills
6+ years as a full-stack engineer building production web apps and APIs.
Strong experience with :
React + Vite + MUI (the existing UI stack)
Node.js / TypeScript or Python for backend services
Designing RESTful APIs and integrating them with front ends
Hands-on experience with RAG / LLM-powered applications :
Embeddings, vector search, grounding answers in KB
Handling hallucinations with retrieval + guardrails
GCP experience with at least some of :
Cloud Run or GKE
Cloud SQL / Firestore / AlloyDB (or Postgres with pgvector)
Cloud Storage / Cloud Build / Artifact Registry
Solid background in system design & scalability :
Stateless services
Horizontal scaling
Caching & rate limiting
Strong focus on security & compliance :
Familiarity with concepts from NIST 800-53 / FedRAMP / CUI environments
Senior Ai Engineer • Ahmedabad, Gujarat, India