Associate Principal Engineer, Generative AI

REQUIREMENTS:

Total experience 13 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.
Strong experience using managed AI/ML services on the target cloud platform (e.g. Azure Machine Learning Studio AI Foundry).
Strong understanding of vector databases (e.g. Weaviate Neo4j)
understanding of GenAI evaluation metrics (e.g. BLEU ROUGE perplexity semantic similarity human evaluation).
Proven track record in deploying AI/ML solutions into production environments.
Familiarity with MLOps pipelines for automation and monitoring.
Experience working on generative AI applications
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

Understanding the clients 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.
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.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

Yes

Employment Type :

Full-time