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

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 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.

ML Engineer

Skills Python, Experience with Classification, Regression Models, AUTOML, Model fine tuning, Python Libraries, AWS sagemaker

Preferred candidate profile

Perks and benefits

📌 Python AI/ML Engineer/ Solution Architect- India (Pune)
🏢 Cloudxtreme
📍 Pune