Staff Engineer, Generative-AI
Staff Engineer, Generative-AI
Posted on :
10-07-2025
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1 Vacancy
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Job Description
REQUIREMENTS:
- Total experience 7 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 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.
- Understanding of ML Ops practices and CI/CD pipelines for AI deployment.
- Background in Natural Language Processing (NLP) and Knowledge Engineering.
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 :
No
Employment Type :
Full-time
Employment Type
Full-time
Department / Functional Area
Key Skills
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