Senior Staff Engineer, Generative AI
Senior Staff Engineer, Generative AI
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
REQUIREMENTS:
- Total experience 10 years.
- Deep understanding of Generative AI fundamentals and transformer-based architectures.
- Strong hands-on experience with Python and AI/ML frameworks.
- Expertise in LLMs (GPT BERT LLaMA etc.) LangChain and HuggingFace.
- Experience implementing RAG architectures and prompt engineering.
- Good knowledge of Azure ML or other cloud ML platforms (AWS GCP preferred as plus).
- Strong understanding of vector databases.
- 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
Employment Type
Remote
Company Industry
Department / Functional Area
Engineering
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
