Job Description
We are looking for a Lead AI/ML Engineer to design, develop, and deploy cutting-edge AI solutions leveraging Agentic AI, LLMs, Generative AI, and Machine Learning. You will build scalable AI systems, intelligent agents, and production-ready ML solutions that drive business impact.
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.
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