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.
- Strong experience with LLMs (LLaMA DeepSeek etc.) and understanding of RAG pipelines.
- Hands on experience in Python Linux and Shell scripting
- Experience with OpenCV PyTorch YOLO or TensorFlow frameworks
- Familiarity with LLM inference engines like Ollama vLLM
- Solid knowledge of model conversion and deployment.
- Experience working on AI Agents LangChain and retrieval-augmented generation (RAG)
- Hands-on experience with Docker Docker Compose and integration into DevOps pipelines
- Understanding of embedded platforms (Jetson NXP Qualcomm) and Yocto builds.
- Experience in model optimization techniques (quantization pruning etc.)
- Good grasp of CUDA kernels and GPU computing for acceleration
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
RESPONSIBILITIES:
- Understanding functional requirements thoroughly and analyzing the clients needs in the context of the project
- Envisioning the overall solution for defined functional and non-functional requirements and being able to define technologies patterns and frameworks to realize it
- Determining and implementing design methodologies and tool sets
- Enabling application development by coordinating requirements schedules and activities.
- Being able to lead/support UAT and production roll outs
- Creating understanding and validating WBS and estimated effort for given module/task and being able to justify it
- Addressing issues promptly responding positively to setbacks and challenges with a mindset of continuous improvement
- Giving constructive feedback to the team members and setting clear expectations.
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
