Lead Gen AI ML Engineer

Freecharge Biz; Gurugram District, Delhi; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

Freecharge Biz is seeking an experienced AI/ML Engineer to design and build Agentic AI systems, integrate LLMs with enterprise infrastructures, and deploy scalable ML models in production. The role emphasizes MCPs, MLOps, CI/CD, and cloud platforms, with strong Python development as a core requirement.

The candidate will work on multimodal AI pipelines, RLHF workflows, and robust AI infrastructure, collaborating across teams to deliver enterprise-grade AI solutions.

Qualifications

• 4 to 7 years of experience in AI/ML Engineering.
• Strong Python programming skills.
• Hands-on experience with LLMs, Agentic AI, and Generative AI.
• Strong understanding of ML/DL concepts and production model deployment.
• Experience with LangChain, LangGraph, AutoGen, Google ADK, or similar frameworks.
• Knowledge of MCP, LLMOps/MLOps, Git, CI/CD, and cloud platforms (AWS/Azure/GCP).

Responsibilities

• Design and develop Agentic AI and multi-agent systems.
• Build AI applications using LLMs, LangChain, LangGraph, AutoGen, Google ADK, and similar frameworks.
• Develop MCP-based AI infrastructure and integrate AI agents with APIs and enterprise systems.
• Build, fine-tune, and deploy ML/Deep Learning models using PyTorch and TensorFlow.
• Develop multimodal AI pipelines for text, image, and structured data.
• Implement Human-in-the-Loop workflows (RLHF, feedback loops).
• Deploy and monitor AI models in production.
• Follow engineering best practices, CI/CD, testing, and code reviews.

Skills

Python programming

LLMs

Agentic AI

Production MLOps

CI/CD

Cloud platforms

GIT

Education

Bachelor's or Master's in CS/Software/AI/ML

Tools

LangChain

LangGraph

AutoGen

Google ADK

MCP (Model Context Protocol)

Job description

Key Responsibilities :

• Design and develop Agentic AI and multi-agent systems.
• Build AI applications using LLMs, LangChain, LangGraph, AutoGen, Google ADK, and similar frameworks.
• Develop MCP-based AI infrastructure and integrate AI agents with APIs and enterprise systems.
• Build, fine-tune, and deploy ML/Deep Learning models using PyTorch and TensorFlow.
• Develop multimodal AI pipelines for text, image, and structured data.
• Implement Human-in-the-Loop workflows (RLHF, feedback loops).
• Deploy and monitor AI models in production.
• Follow engineering best practices, CI/CD, testing, and code reviews.

Required Skills :

• 4 to 7 years of experience in AI/ML Engineering.
• Strong Python programming skills.
• Hands-on experience with LLMs, Agentic AI, and Generative AI.
• Strong understanding of ML/DL concepts and production model deployment.
• Experience with LangChain, LangGraph, AutoGen, Google ADK, or similar frameworks.
• Knowledge of MCP (Model Context Protocol), LLMOps/MLOps, Git, CI/CD, and cloud platforms (AWS/Azure/GCP).

Good to Have :

• Multi-Agent Systems.
• RLHF.
• Prompt Engineering.
• RAG.
• Vector Databases.
• Cloud-native AI deployments.
• FinTech domain experience.

Education : Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or a related field.