Overview
Senior Generative AI Engineer (Vice President) to lead analysis, programming, and deployment of scalable enterprise generative AI solutions.
What you'll do
- Lead engineering and execution of enterprise generative AI solutions from concept to production.
- Design, develop, and implement advanced generative AI models and systems using LLMs and agentic AI architectures.
- Integrate AI services into existing enterprise systems via robust, high-performance APIs.
- Build AI development and integration using Python frameworks such as FastAPI, Django, Flask, or PySpark.
- Use Java experience to build scalable enterprise applications and integrate AI components into Java systems.
- Apply AI concepts (knowledge representation, automated planning, uncertainty decision-making, multi-agent systems) to solution design.
- Champion best practices including Git, CI/CD, testing, and code reviews while ensuring security and resiliency.
What you'll need
- 12+ years of progressive software engineering experience with a significant focus on generative AI.
- Hands-on Java Full-stack development experience (required).
- Expert-level proficiency in Python with frameworks such as FastAPI, Django, Flask, or PySpark.
- Hands-on experience with generative AI orchestration tools such as Google ADK, LangGraph, LangChain, AutoGen, or CrewAI.
- Experience with machine learning frameworks including TensorFlow and PyTorch and libraries such as Scikit-Learn, NumPy, and Pandas.
- Proven experience creating, deploying, and integrating Model Context Protocols (MCPs) into agentic AI systems.
- Hands-on experience with Docker and Kubernetes.
Details
- Location: Pune, Maharashtra, India.
- Employment type: Full time.
Read the full description and apply on the company’s own careers page.
