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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