Prompt Engineer

About Maple

At Maple, we are building Cognitive Infrastructure. The modern professional is drowning in information but starving for context. We're creating the first AI that doesn't just 'search' your data, but understands the intricate web of your professional relationships, projects, and goals. We are moving towards a future where AI is a proactive collaborator, not a reactive tool.

About the Interaction Team

The Interaction team sits at the core of the Maple experience. We are the architects of the Maple Voice. We define how our models reason, how they communicate, and how they bridge the gap between complex LLM outputs and intuitive human interaction. We don't just write prompts; we build multi-stage reasoning pipelines that allow our AI to navigate nuanced intent and maintain perfect context over months of interaction.

Our team experiments with Chain-of-Thought, Tree-of-Thought, and specialized 'Reflective' reasoning patterns. We are obsessed with linguistic precision, model steering, and building automated evaluation systems that ensure our AI is consistently helpful, professional, and accurate.

About the Role

As a Prompt Engineer at Maple, you are a cognitive architect. You will be responsible for the high-level logic that governs our assistant's behavior across every product vertical. This is a role that requires a unique blend of technical expertise, linguistic intuition, and product vision. You will work directly with the AI Research team to operationalize new models and with the Product Design team to craft the future of AI-human collaboration.

Responsibilities

• Develop and refine complex system prompts that guide model behavior across diverse use cases.
• Design and implement "Chain of Thought" and "Tree of Thought" reasoning patterns for multi-step tasks.
• Build automated evaluation pipelines to ensure model consistency and prevent regressions.
• Stay at the absolute cutting edge of LLM research, experimenting with new models and techniques as they launch.
• Work closely with product designers to ensure the AI's output is consistently helpful, concise, and professional.

You may be a good fit if you

• Have 2+ years of experience working deeply with LLMs (GPT-4, Claude, etc.).
• Possess a "hacker" mindset—you love exploring the weird edge cases of model behavior.
• Have a background in linguistics, cognitive science, or software engineering.
• Can write clean, modular code (Python/TS) to build internal tools and eval frameworks.
• Are a clear and precise communicator. Prompting is, at its core, a form of technical writing.

Logistics & Compensation

• Annual Salary: ₹10L – ₹20L.
• Equity: 0.05% – 0.2% equity package.
• Location Policy: Indore or Remote. We value deep work and async communication.
• Interview Process:
  1. Intro Call (30m): Discussing your AI journey and our cognitive vision.
  2. Prompting Challenge (90m): A real-time session where you solve a complex reasoning task with us.
  3. Tooling & Pipeline Review (60m): Discussing how you build evals and manage model regressions.
  4. Founder Alignment (45m): Final strategic chat.

How we're different

We don't believe in 'prompting' as a dark art. We believe in it as a science. We value data over intuition. We don't have endless meetings; we have 'lab time' where we experiment, document, and share findings through high-quality internal RFCs. We work in 6-week cycles, giving you the deep focus time required to solve the hardest problems in AI interaction.

Come work with us!

If you want to be more than just a user of AI—if you want to be the one who defines how it speaks and thinks for the next generation of professionals—you belong at Maple. Let's define the future of interaction together.