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Senior Full-Stack AI Engineer
Senior Full-Stack AI EngineerBayInfotech • Bengaluru, IN
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Senior Full-Stack AI Engineer

Senior Full-Stack AI Engineer

BayInfotech • Bengaluru, IN
5 days ago
Job description

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Senior Full-Stack AI Engineer

Title : Senior Full-Stack AI Engineer – AI-Enabled Help Desk (GCP)

Location : Remote

This test is mandatory as part of this role. Please share a working public URL.

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
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