AI Solution engineer/ Architect- India

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 strong Apigee API gateway experience, including proxy development, policies, routing, OAuth/security, KVMs, API products, and deployments across environments.
• 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 benefits