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 / Valuable 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

📌 AI Engineer - India
🏢 Cloudxtreme
📍 India