#Machine Learning Engineer - Generative AI
Core
Design, develop, and deploy next-generation AI systems powered by Large Language Models (LLMs), Agentic AI, and autonomous intelligent agents for enterprise use cases.
Role type
Senior Machine Learning Engineer (Generative AI / Agentic AI)
Builds
Enterprise-grade AI solutions with reasoning, planning, tool usage, and workflow orchestration capabilities.
Domain
Enterprise AI / Generative AI / Agentic AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, LLM frameworks (Langchain, LlamaIndex, Transformers), RAG architectures, vector databases, reinforcement learning, model fine-tuning (SFT, distillation), multi-agent systems, cloud platforms (AWS, GCP, Azure)
Preferred skills
Prompt engineering, chain-of-thought techniques, containerization, microservices, ML ops, open-source AI contributions
Technologies
Langchain, LlamaIndex, Transformers, PyTorch, TensorFlow, AWS, GCP, Azure
Responsibilities
Design and implement Agentic AI systems for autonomous reasoning and multi-step execution; Build and optimize RAG and Hybrid AI architectures; Develop self-improving AI agents with feedback loops and reflection; Research and apply LLM post-training techniques; Create evaluation and safety frameworks for AI agents; Build multi-agent orchestration frameworks.
Seniority
Senior, hands-on IC
