Role & responsibilities

AI Solution Engineer / Architect

Skills - Python, FastAPI, Pydantic, Uvicorn, Node.js, AWS (Lambda, SQL, SNS, S3, EKS, etc), Apigee API Gateway, LangGraph, LangChain, pgvector ( or Any vector DB), PostgreSQL / MongoDB, OAuth 2.0 / OIDC, SDD (Spec Driven Development)

Job Description:

Has strong hands-on engineering experience building microservices using Python and Node.js (should be able to solution using SDD (Spec Driven Development) and use AI Assistant to develop)
has built cloud-native and event-driven solutions using AWS Lambda, SQS, SNS, and related AWS services.
has solid Apigee API gateway experience, including proxy development, policies, routing, OAuth/security, KVMs, API products, and deployments across settings.
has practical AI engineering experience, including LLM integration,



prompt engineering, RAG, embeddings, and structured outputs, and has implemented AI solutions in production.
has experience with tool/API orchestration, intent routing, and deterministic backend integration
has agentic AI experience, especially around workflow orchestration, tool calling, and AI-assisted decision flows.
has in depth knowledge of AI guardrails, PII/PHI protection, prompt injection prevention, logging, monitoring, and response validation.
has the ability to design and build secure, scale, API-driven AI solutions end to end.

Preferred candidate profile

Perks and perks

📌 Ai Solution Engineer/ Architect India Noida
🏢 Cloudxtreme
📍 Noida