AI/ML Engineer

EXL; Dadri; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

EXL is seeking a software engineer to build production-ready AI applications using Python and FastAPI. The role involves designing end-to-end LLM pipelines, data ingestion, inference, and response generation in a fast-paced environment.

You will leverage Google Cloud Platform tools such as Vertex AI, Cloud Run, BigQuery, and Cloud Storage, apply prompt engineering, implement vector stores and embeddings for semantic search and RAG, and work with orchestration frameworks to manage complex

Qualifications

• Experience building production-grade AI applications using Python and modern frameworks.
• Understanding of LLM pipelines, data ingestion, inference, and response generation.

Responsibilities

• Build production-ready AI applications using Python and FastAPI.
• Design LLM pipelines including data ingestion, inference, and response generation.
• Leverage GCP tools like Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage.
• Apply advanced prompt engineering techniques to enhance LLM outputs.
• Implement vector stores and embeddings for semantic search and RAG.
• Use orchestration frameworks for complex workflows.
• Integrate AI systems with enterprise platforms and maintain robust data flows.
• Follow best practices in coding, testing, and deployment within CI/CD pipelines.
• Continuously explore and recommend emerging tools and AI technologies.

Tools

Python

FastAPI

Vertex AI

BigQuery

Cloud Storage

Job description

• Build production-ready AI applications using Python and FastAPI.
• Design LLM pipelines including data ingestion, inference, and response generation.
• Leverage GCP tools like Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage.
• Apply advanced prompt engineering techniques to enhance LLM outputs.
• Implement vector stores and embeddings for semantic search and RAG.
• Use orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) for complex workflows.
• Integrate AI systems with enterprise platforms and maintain robust data flows.
• Follow best practices in coding, testing, and deployment within CI/CD pipelines.
• Continuously explore and recommend emerging tools and AI technologies.