
Associate Staff Engineer, Generative AI
- Pune, Maharashtra
- Permanent
- Full-time
- Total experience 5+ years.
- Proven experience working with Generative AI frameworks (OpenAI, Anthropic, etc.)
- Expertise in Generative AI and Retrieval-Augmented Generation (RAG).
- Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow.
- In-depth knowledge of NLP, deep learning architectures, and Machine Learning.
- Strong hands-on experience in Python (data processing, APIs, AI/ML libraries)
- Advanced knowledge of AWS services.
- Expertise in Prompt Engineering and LLM tuning.
- Experience with API development, CI/CD, and DevOps tools
- Exposure to MLOps practices and frameworks
- Strong communication and teamwork skills, with the ability to mentor and collaborate effectively.
- Writing and reviewing great quality code.
- 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.