Role: Generative-AI Developer
Required Experience: 3 - 7 years
Job Location: Pune/ Gurugram
Job Description:
Must Have Skills: Azure API Management, Generative AI Fundamentals,Machine Learning on Azure ,Python
Job Description
- Total experience 3+ years.
- Deep understanding of Generative AI fundamentals and transformer-based architectures.
- Strong experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems.
- Hands on working experience in working with Generative AI models.
- Strong working experience in Azure AI.
- Proven experience with BERT, GPT, LLaMA, and similar LLMs.
- Strong hands-on experience inprompt 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.
- Understanding ofML Ops practices and CI/CD pipelines for AI deployment.
- Background in Natural Language Processing (NLP) and Knowledge Engineering.
RESPONSIBILITIES:
- 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
