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Remote role, popular AI/ML title, and metro Bangalore increase qualified applicant density.
LLM and prompt engineering skills are transferable across industries but require ML domain expertise.
No explicit years but mandatory LLM/prompting skills impose a moderately strict technical filter.
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Develop, test, and refine AI behavior using advanced prompting techniques for equitable and safe LLM performance.
Collaborate closely with domain experts, product teams, software engineers, and data scientists to align prompts with project goals and execute the ML roadmap.
Design and run scientifically rigorous experiments to evaluate AI systems and document model building and tuning processes for reproducibility.
Bachelor's degree in any discipline with technical knowledge and experience.
Familiarity with large language models (LLMs) and recent advances such as agentic frameworks and systems thinking.
Experience with advanced prompting techniques (e.g., react prompting).
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable operating in a fast-paced, mission-driven environment focused on social impact via AI applications.
Strong experimental and iterative mindset emphasizing data, model, and evaluation to achieve measurable improvements.
Experience or strong interest in AI projects addressing equity, inclusion, and societal challenges aligned with UN Sustainable Development Goals.