Member of Technical Staff – Prompt Engineering

5 days ago

Shimoga, India Vaikhari AI Full time

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 Description We 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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