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 client’s requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation.
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.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
Understanding and relating technology integration scenarios and applying these learnings in projects.
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Total experience 5+ years.
Deep understanding of Generative AI fundamentals and transformer-based architectures.
Must have experience with fine tuning models using (PEFT, LORA, Q-LORA).
Must have experience with Agentic AI & agents.
Should have experience with Text to SQL.
Proven experience with BERT, GPT, LLaMA, and similar LLMs.
Strong hands-on experience in prompt engineering and RAG techniques.
Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent.
Familiarity with multi-agent AI systems and collaborative model workflows.
Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow).
Experience integrating models into enterprise platforms and APIs.
Should have sound experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems.
Understanding of ML Ops practices and CI/CD pipelines for AI deployment.
Background in Natural Language Processing (NLP) and Knowledge Engineering.

Associate Staff Engineer, Generative AI

Key skills