Senior Full-Stack AI Engineer

7 hours ago

bangalore, India BayInfotech Full time

In order to proceed further, Please take the test.Test link: testSenior 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.ResponsibilitiesOwn 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 classificationGuardrails (prompt injection / adversarial prompt detection)Ticket creation + escalation logic & tier routingReplace 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 concernsAPI 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 IAMProduce 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 Skills6+ 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 servicesDesigning RESTful APIs and integrating them with front endsHands-on experience with RAG / LLM-powered applications:Embeddings, vector search, grounding answers in KBHandling hallucinations with retrieval + guardrailsGCP experience with at least some of:Cloud Run or GKECloud SQL / Firestore / AlloyDB (or Postgres with pgvector)Cloud Storage / Cloud Build / Artifact RegistrySolid background in system design & scalability:Stateless servicesHorizontal scalingCaching & rate limitingStrong focus on security & compliance:Familiarity with concepts from NIST 800-53 / FedRAMP / CUI environments

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