AI/ML Engineer - Generative AI

Where Can You Create Impact :

Build with LLMs & GenAI :

- Fine-tune and deploy Large Language Models (LLMs) like GPT, BERT, etc., for
core AI features across the product

- Develop and optimize Generative AI capabilities diffusion models, LoRA, or
similar frameworks

- Continuously improve performance using prompt engineering, retrieval-augmented
generation (RAG), and user feedback

Deploy AI Workflows :

- Build scalable, production-ready AI workflows and pipelines using APIs, microservices, and vector databases

- Translate prototypes into stable product features in collaboration with product and backend teams

- Integrate AI systems into real-time and batch data processing layers

Infrastructure & Performance :

- Work with cloud GPU environments (AWS/GCP/Azure) to train, run, and monitor LLM-based systems

- Optimize inference latency and throughput for high-scale use cases

Requirements for the Role :

- 23 years of experience in AI/ML Engineering

- Strong Python skills with experience in frameworks like PyTorch or TensorFlow

- Proven hands-on experience with LLMs, prompt engineering, or Generative AI models

- Experience deploying models to production in a cloud environment (AWS/GCP/Azure)

- Comfortable with tools like HuggingFace, LangChain, or similar open-source stacks