Member of Technical Staff – Prompt Engineering
3 days ago
At Vaikhari AI, we are building the trust layer for AI. Our mission is to ensure AI systems behave reliably across languages, cultures, and real-world conditions. We design benchmarks, datasets, and tools that enable enterprises and researchers to measure, stress-test, and improve their AI systems--with a special focus on underrepresented and low-resource languages.Our founders are researchers and operators from BigTech and Unicorn startups, experienced in shipping at enterprise scale while executing with startup agility.Role DescriptionWe are looking for a Prompt Engineer with a strong technical background who deeply understands LLM behaviour and can design, test, and exploit emergent patterns in multi-modal and generative AI systems. This role combines research, experimentation, and engineering--ideal for someone who can move seamlessly between conceptual design, empirical validation, and real-world implementation.You will work closely with our AI scientists and data teams to design robust, generalizable prompt strategies, study model reasoning behaviour, and create evaluation setups that stress-test AI capabilities in complex or multilingual environments.Responsibilities- Design, test, and refine prompts and prompt pipelines for text and multi-modal models. - Investigate and document emergent behaviours and their reproducibility across model families and scales. - Conduct structured experiments to understand how prompt structure, context, and modality influence model outputs. - Collaborate with research and engineering teams to build evaluation and trust metrics for generative AI systems. - Develop reusable prompt frameworks and templates for diverse tasks and domains. - Drive experiments independently, from hypothesis to insight, in ambiguous or rapidly evolving problem spaces.What We're Looking For- 5+ years of experience in AI/ML and at least 2+ years in Generative AI or LLM-based systems. - Strong understanding of LLM internals, emergent behaviours, and reasoning limitations. - Experience with prompt engineering for text or multi-modal models (e.g., GPT, Claude, Gemini, LLaVA, or similar). - Proficiency in Python and comfort with frameworks such as LangChain, LlamaIndex, or OpenAI SDKs. - Familiarity with evaluation, data curation, and fine-tuning processes for LLMs. - Ability to work independently, design experiments, and derive insights from unstructured exploration. - Curiosity about language, cognition, and human-AI interaction.Why Join Us?- Shape the trust layer for AI, working on problems that matter globally. - Be part of a founding-stage deeptech startup with exposure to both cutting-edge research and client-facing impact. - Work directly with a leadership team that has shipped at BigTech scale and built with startup speed. - Influence how the world evaluates, trusts, and deploys AI systems.
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