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About the role
Key responsibilities & impact- Design, refine, and optimize prompts and prompt pipelines for LLM-based applications.
- Build structured prompt frameworks (few-shot, chain-of-thought, role prompting, tool prompting).
- Evaluate AI outputs for accuracy, bias, hallucination, and reliability.
- Work with engineering teams to integrate prompts into APIs and AI products.
- Develop prompt libraries and reusable templates for various use cases.
- Run experiments to benchmark prompt strategies across different LLMs.
- Create guardrails and evaluation methods for safe and consistent AI responses.
- Collaborate with product, data science, and engineering teams to improve AI performance.
Requirements
What you’ll need- Tech / M.Tech / PhD in Computer Science, AI, Mathematics, Linguistics, or related field.
- Strong preference for candidates from Indian Institutes of Technology or equivalent institutions.
- Strong analytical and logical reasoning ability.
- Excellent written communication and language structuring skills.
- Understanding of LLMs, generative AI, and prompt engineering techniques.
- Experience using AI tools like ChatGPT, Claude, or Gemini.
- Ready to work on Contract
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
prompt engineeringLLM-based applicationsAI output evaluationprompt frameworksfew-shot promptingchain-of-thought promptingrole promptingtool promptingbenchmarkingdata analysis
Soft Skills
analytical abilitylogical reasoningwritten communicationlanguage structuringcollaboration