REQUIREMENTS:
- Total experience 10 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).
- Architect and implement scalable GenAI and Agentic AI solutions end-to-end.
- Should be able to write high-quality production-ready Python code with strong testing and maintainability practices.
- Should be able to productionize AI systems on Azure or AWS ensuring enterprise-grade reliability and performance.
- Should be able to build and expose APIs using FastAPI integrating with databases through an ORM.
- Should be able to scale GenAI solutions to support enterprise workloads.
- Collaborate across product and engineering teams to convert business needs into AI-driven solutions.
- Strong ability to both architect and code GenAI/Agentic AI solutions.
- Proven production experience with GenAI deployments on Azure or AWS.
- Strong experience in scaling AI solutions in live environments.
- Very strong Python programming skills with a track record of clean efficient and maintainable code.
- Should have successfully delivered at least one production GenAI/Agentic AI solution.
- Must have proficiency with FastAPI and at least one ORM (e.g. SQLAlchemy Tortoise ORM).
- Should have familiarity with Model Context Protocol (MCP).
- Should have contributions to open-source GenAI projects.
- Good to have experience with React (or some other JS frameworks) for building user-facing interfaces and front-end integrations
- 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