Staff Engineer, Generative AI (AI Engineering)

TL;DR

Staff Engineer, Generative AI (AI Engineering): Understanding client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements with an accent on identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Focus on resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.

Company

We are a Digital Product Engineering company that is scaling in a big way!

What you will do

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.

Requirements

• Total experience 7+ years.
• Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
• Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
• High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
• Experience implementing RAG architectures and prompt engineering.
• Strong experience with fine-tuning and distillation techniques and evaluation.
• Proven track record in deploying AI/ML solutions into production environments.

Culture & Benefits

• Work culture is dynamic and non-hierarchical.