Senior AI Engineer
Summary
Senior AI Engineer who designs, builds, and deploys AI/ML and Generative AI solutions end to end — LLMs (Claude, Llama, GPT), RAG, prompt engineering, and agentic workflows with Autogen, LangGraph, and CrewAI on AWS/Azure/GCP. Leads technical direction, mentors junior engineers, and partners with customers and stakeholders. Hybrid role across major Indian cities.
Responsibilities:
· AI/ML Solution Development: Design, develop, and deploy AI/ML technology stacks from concept to production and deployment
· Technical Leadership: Provide technical leadership and mentorship to junior engineers, guiding them in best practices and advanced techniques.
· Develop and optimize Generative AI workflows, including prompt engineering, fine-tuning, RAG and LLM-based applications.
· Work with Large Language Models (LLMs) such as Claude, Llama, Mistral, and GPT, ensuring efficient adaptation for various use cases.
· Design and implement AI-driven automation using agentic AI systems and orchestration frameworks like Autogen, LangGraph, and CrewAI.
· Leverage cloud AI infrastructure (AWS, Azure, GCP) for scalable deployment and performance tuning.
· Collaborate with cross-functional teams to deliver AI-driven solutions.
· Front ending customer discussions, customer engagement and success stories
· Collaborate with stakeholders to gather requirements and translate them into technical specifications
Requirements
· Overall 7+ year’s experience, 5+ years in software engineering and 2+ years of experience in AI/ML, with expertise in Generative AI and LLMs
· Experience with AWS Bedrock or Azure OpenAI studio or similar enterprise AI environments
· Strong proficiency in Python and experience with AI/ML frameworks like PyTorch and TensorFlow
· Experience with containerization (e.g., Docker, Kubernetes), version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum)
· Knowledge of advanced prompt engineering techniques
· Experience in AI workflow automation and model orchestration
· Hands-on experience with API development using Flask or Django