Senior Prompt Engineer

2 weeks ago

Sunnyvale, California, United States SRI Tech Solutions Inc. Full time
About the Role

SRI Tech Solutions Inc. is seeking a highly skilled and detail-oriented Senior Prompt Engineer to design, test, and refine prompts for large language models to generate high-quality, executable code across multiple programming languages.

Key Responsibilities
  • Prompt Design & Engineering: Develop, test, and iterate on LLM prompts to generate accurate, syntactically correct code in various programming languages (e.g., Python, JavaScript, SQL).
  • Contextual Programming: Ensure that generated code aligns with the user's intent and incorporates contextual information such as function inputs/outputs, documentation, and architecture patterns.
  • Code Optimization: Identify and resolve issues with LLM-generated code, including syntax errors, inefficiencies, and performance bottlenecks.
  • AI Model Fine-tuning: Collaborate with the research team to improve model performance and adapt to new use cases.
  • Cross-Functional Collaboration: Work closely with the larger team to develop tools and frameworks for code generation workflows.
  • Continuous Improvement: Research and implement best practices for prompt engineering and explore new techniques to improve LLM performance in code generation tasks.
Requirements
  • Proven experience with prompt engineering and LLMs like GPT-3, GPT-4, Codex, or other advanced models.
  • Strong background in software development with expertise in languages such as Python (Required), JavaScript, SQL, C++, Java, or others.
  • Deep understanding of ML, NLP, and LLMOps principles.
  • Proficiency in code debugging, optimization, and test automation for generated code.
  • Experience with software version control tools (e.g., Git)
  • Strong problem-solving skills and the ability to think critically about how to improve LLM performance for specific use cases.
  • Excellent collaboration and communication skills, with the ability to explain complex technical topics to diverse teams.
Preferred Qualifications
  • Experience with template-driven code generation frameworks such as Jinja or Velocity
  • Familiarity with using LLMs in DevOps environments.
  • Experience working with AI/ML development environments and libraries such as Hugging Face, OpenAI API, or LangChain.

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