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Senior AI / Machine Learning Engineer

Blutic is seeking a highly skilled and experienced Senior AI / Machine Learning Engineer with 6–10 years of engineering experience to design, build, and deploy scalable AI solutions. The ideal candidate will have hands-on experience with LangGraph, Retrieval-Augmented Generation (RAG), and agentic architectures, along with strong expertise in Python, MLOps, and production-grade AI systems.

This is work from the office (Gurgaon / Bangalore). The candidate should be willing to work from office in the General shift.

Job Description

Blutic is seeking a highly skilled and experienced Senior AI / Machine Learning Engineer with 6–10 years of engineering experience to design, build, and deploy scalable AI solutions. The ideal candidate will have hands-on experience with LangGraph, Retrieval-Augmented Generation (RAG), and agentic architectures, along with strong expertise in Python, MLOps, and production-grade AI systems.This is an onsite position for Gurgaon and Bangalore location. The candidate will be working in regular Business hours.



Key Responsibilities

  • Design and develop advanced AI/LLM-based systems using LangGraph, RAG, and agentic architectures

  • Build, deploy, and maintain production-ready AI/ML pipelines

  • Collaborate with cross-functional teams to translate business requirements into scalable AI solutions

  • Implement best practices for MLOps, including model versioning, monitoring, and CI/CD

  • Optimize model performance, reliability, and scalability in production environments

  • Stay updated with emerging trends in AI, LLMs, and machine learning engineering



Required Skills & Qualifications

  • 6–10 years of overall engineering experience

  • Strong proficiency in Python

  • Hands-on experience with LangGraph, Retrieval-Augmented Generation (RAG), and agentic AI architectures

  • Solid understanding of MLOps practices and tools

  • Experience building and deploying production-grade AI/ML systems

  • Strong problem-solving and communication skills



Preferred Qualifications (Optional)

  • Experience with cloud platforms (AWS, Azure, or GCP)

  • Familiarity with LLM frameworks and orchestration tools

  • Experience working in agile development environments


Job ID

BT-J0248

Job Type

Full Time

Location

Gurgaon, Bangalore

Date Posted

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