Job Description

Required skills

5+ years of professional experience in building Machine Learning models & systems

1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly

prompt engineering, RAG, and agents.

Experience in driving the engineering team toward a technical roadmap.

Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.

Understanding of Cloud services, including Azure, GCP or AWS

Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities:

Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of

large language models, leveraging techniques like prompt engineering, retrieval-augmented

generation (RAG), and agent-based architectures.

Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like

LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best

practices.

Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or

AWS), optimizing resource usage and ensuring robust CI/CD processes.Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs

to define project requirements, translate technical details, and deliver impactful AI products.

Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering

team, fostering best practices in machine learning and large language model development.

Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI,

proposing and experimenting with emerging techniques to drive ongoing improvements in model

Job Types: Full-time, Permanent

Pay: ₹3,500,000.00 - ₹4,500,000.00 per month

Benefits:

Health insurance Provident Fund
Work Location: In person