Member of Technical Staff – Prompt Engineering & Emergent Behaviour

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 .