Ai/ml Engineer Vapi

About KeyyKeyy is a quick-growing startup building intelligent financial technology solutions focused on simplifying and optimizing how users manage their financial ecosystem. We are building scalable, data-driven products with a strong focus on performance, automation, and innovation.

About the RoleWe are looking for a highly experienced AI / ML Engineer with deep expertise in Neural AI systems, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and custom model development from scratch. The ideal candidate should have strong hands-on experience building intelligent AI systems using up-to-date neural architectures, deploying production-grade LLM applications, and solving complex computational problems through advanced mathematics and machine learning.

This role requires robust ownership, research capabilities, and the ability to independently architect and build AI systems end-to-end. Candidates must have a minimum of 5 years of relevant experience in AI/ML engineering and should be comfortable with occasional visits to our HQ in Nagpur for collaboration and strategic discussions.

Key Responsibilities

Design and develop neural network-based AI systems

Build and optimize RAG pipelines using vector databases and embeddings

Develop and deploy LLM-powered applications, copilots, and AI agents

Fine-tune and evaluate open-source and proprietary LLMs

Build custom ML / DL models from scratch

Architect end-to-end AI pipelines and workflows

Optimize inference systems for latency, scalability, and accuracy

Conduct deep technical research and evaluate emerging AI technologies

Work closely with product and engineering teams to integrate AI capabilities into production systems

Build scalable and maintainable AI infrastructure for real-world applications

Required Skills & Expertise

Minimum 5 years of experience in AI / ML engineering

Strong expertise in Neural Networks and Deep Learning

Proven experience with LLMs and Generative AI systems

- Apply on Kit Job: kitjob.in/job/4n3wu0