AI Engineer

Ahead

3 - 8 years

6 - 10 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

ai engineer kubernetes snowflake rest python github bdd ai orm caching sql microservices analytics automation postgresql model evaluation tdd data governance cloud infrastructure aws digital transformation programming azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

The AI Engineer builds production-grade AI capabilities that augment our internal products and data platforms. Youll deliver vector pipelines, RAG services, and agentic automations using Python, FastAPI, and cloud-native infrastructure, integrating with Snowflake and PostgreSQL where appropriate.

Key Responsibilities

Implement vectorization pipelines and Retrieval-Augmented Generation (RAG) endpoints; integrate PGVector or equivalent.
Build AI microservices with Python, FastAPI, Pydantic, and SQLAlchemy /SQLModel; define robust REST APIs.
Apply Model Context Protocol (MCP) and agentic frameworks (LangGraph, CrewAI, Autogen) where suitable.
Establish CI/CD with GitHub Actions; deploy via Helm on Kubernetes in Azure or AWS.
Integrate with Snowflake and PostgreSQL; implement robust data access, caching, and observability.
Implement unit tests and evaluation harnesses; contribute to offline/inline model evaluation.
Collaborate with stakeholders to frame problems, validate POCs, and harden solutions for production.
Explore fine-tuning opportunities when beneficial; document findings and productionize successful approaches.

Education and Experience

Minimum Required Bachelor''s in CS, Data/AI, or equivalent experience.
3+ years building AI/ML or data-intensive services in production.

Skills Required

Strong Python engineering with FastAPI and async programming.
Hands-on with vector databases and PGVector; RAG patterns and embedding pipelines.
Familiarity with MCP and agentic frameworks; prompt/tool orchestration fundamentals.
Cloud-native development with GitHub Actions, Helm, Kubernetes; Azure or AWS experience.
Proficiency with SQL, PostgreSQL, and Snowflake; ORM-first application development.
Understanding of OOP, unit testing, and CI quality gates; TDD/BDD exposure is a plus.
Awareness of responsible AI, security, and data governance considerations.

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