AI Engineer

Role: GenAI Engineer with Vertex AI experience

Location: Parsippany, NJ (Onsite)

Duration: Longterm Contact

Description:-

• GCP Vertex AI / Gemini Engineering
  • Hands‑on experience operationalizing Gemini multimodal models in production.
  • Expertise in building scalable, secure model‑inference pipelines and integrating conversational AI flows.
  • Strong knowledge of MLOps, CI/CD, model monitoring, drift detection, and lifecycle management.
• Neo4j / Knowledge Graph Engineering
  • Proficiency in Neo4j data modeling, Cypher query authoring, graph indexing, and performance tuning.
  • Experience implementing graph algorithms and designing a production‑grade HTS/tariff‑book knowledge graph.
  • Ability to manage graph updates, versioning, and real‑time retrieval patterns for customs logic.
• Backend, API, and Integration Engineering
  • Strong experience building and maintaining FastAPI‑based microservices that expose REST/GraphQL endpoints for conversational flows, model inference, and knowledge‑graph retrieval.
  • Experience with secure service integration, authentication/authorization, and high‑availability microservices.
  • Implementing observability: logging, metrics, alerting, and system health monitoring.
• Team Composition & Scaling
  • Start with 2–3 engineers covering ML engineering, graph engineering, and backend/API development.
  • Foundation designed for long‑term production support, iterative enhancements, and future scale‑out.