- 8 years of software development experience
- 3 years of experience as a technical lead guiding teams through complex design decisions and setting high benchmarks for code quality performance and scalability
- In-depth understanding of large language models (LLMs) and their application in AI-driven solutions including inferencing embedding and knowledge base integration (RAG) for improved data retrieval and contextualization
- Hands-on experience designing and building GenAI platforms that allow users to create configure and deploy AI applications supporting features like agent orchestration prompt engineering RAG integration and model selection
- Experience building AI agents capable of complex multi-step reasoning and tool usage with a focus on reliability traceability and composability
- Proven experience in fine-tuning and customizing foundation models to improve task-specific performance and domain alignment
- Deep knowledge of LLM inference optimization techniques including prompt tuning caching quantization and latency reduction across different model families
- Strong programming skills in Python Java or similar languages with an emphasis on AI/ML systems development and platform engineering
- Demonstrated ability to work cross-functionally and influence product development through a combination of technical leadership and user-centered thinking
- Passion for operational excellence automation and delivering scalable developer-friendly AI infrastructure
- B.S M.S. or PhD Degree in Computer Science/Engineering or equivalent work experience
- Expertise in AWS Cloud
- Hands on experience in using Kubernetes as orchestration layer
Required Experience:
Staff IC
8 years of software development experience3 years of experience as a technical lead guiding teams through complex design decisions and setting high benchmarks for code quality performance and scalabilityIn-depth understanding of large language models (LLMs) and their application in AI-driven solutio...
- 8 years of software development experience
- 3 years of experience as a technical lead guiding teams through complex design decisions and setting high benchmarks for code quality performance and scalability
- In-depth understanding of large language models (LLMs) and their application in AI-driven solutions including inferencing embedding and knowledge base integration (RAG) for improved data retrieval and contextualization
- Hands-on experience designing and building GenAI platforms that allow users to create configure and deploy AI applications supporting features like agent orchestration prompt engineering RAG integration and model selection
- Experience building AI agents capable of complex multi-step reasoning and tool usage with a focus on reliability traceability and composability
- Proven experience in fine-tuning and customizing foundation models to improve task-specific performance and domain alignment
- Deep knowledge of LLM inference optimization techniques including prompt tuning caching quantization and latency reduction across different model families
- Strong programming skills in Python Java or similar languages with an emphasis on AI/ML systems development and platform engineering
- Demonstrated ability to work cross-functionally and influence product development through a combination of technical leadership and user-centered thinking
- Passion for operational excellence automation and delivering scalable developer-friendly AI infrastructure
- B.S M.S. or PhD Degree in Computer Science/Engineering or equivalent work experience
- Expertise in AWS Cloud
- Hands on experience in using Kubernetes as orchestration layer
Required Experience:
Staff IC
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