AI Engineer - India

Role & responsibilities

AI Engineer

Skills - Python 3.12+, FastAPI, Pydantic, Uvicorn, REST API, LangGraph, LangChain, RAG, pgvector ( or Any vector DB), PostgreSQL, AWS or Azure, OAuth 2.0 /OIDC

Job Description:

Programming Language: Python 3.12+

Backend Development: FastAPI, Pydantic, Uvicorn, REST API Development

AI & Agent Frameworks: LangGraph, LangChain, Agentic AI Workflows, Prompt Engineering

Large Language Models (LLMs):

• Experience integrating with Enterprise/Internal LLM Endpoints
• LLM Orchestration and Inference APIs
• LLM Evaluation and Response Optimization

AI Architecture:

• Retrieval-Augmented Generation (RAG)
• Semantic Search
• Knowledge Retrieval
• Hybrid Recommendation Systems

Databases

• PostgreSQL
• SQL Query Optimization

Vector Databases

• pgvector ( or Any vector DB)
• Experience with Vector Search and Embeddings

Security: OAuth 2.0, OpenID Connect (OIDC), Role-Based Access Control (RBAC), PII Detection & Masking

Governance & Compliance: LangSmith, Audit Logging, Recommendation Traceability,

User Activity Tracking, OpenTelemetry

Monitoring & Observability: Datadog (or Application Insights), Log Analytics,

Distributed Tracing

Deployment & Infrastructure: Docker, Kubernetes (EKS / AKS), Helm Charts

Preferred / Good to Have

Machine Learning & AI

• Experience building Recommendation Engines
• NLP (Natural Language Processing)
• Embeddings and Vector Search
• Fine-tuning / Model Evaluation
• AI Agent Development

Cloud Platforms

• AWS or Azure, S3 / Blob Storage, API Gateway, IAM

Architecture

• Microservices Architecture
• Event-Driven Architecture
• Scalable Distributed Systems

DevOps

• Bitbucket
• CI/CD Pipelines
• Bamboo

Preferred candidate profile