Al Experimentation Generalist - Founder's Office (Ahmedabad Residents Only)

We’re looking for a doer-level AI Generalist to join the Founder’s Office. This isn’t a research role. This is a hands-dirty, move-fast role.

You'll work directly with the Founder to:
• Explore, experiment, and implement cutting-edge AI tools across the company.
• Build simple to mid-level automations, agents, and workflows using existing tools and APIs.
• Drive adoption of AI into every department — from creative to operations, from media buying to reporting.
• Be the go-to person for AI experiments, prototypes, workflows, and agent builds.

What You'll Do:
• Audit current workflows across teams and identify AI intervention points.
• Rapidly prototype automations, AI tools, and agents to improve team efficiency.
• Train and enable teams to adopt AI tools effectively.
• Continuously evaluate the evolving AI tools landscape — and run fast experiments.
• Help build internal AI systems using GPTs, agents, workflows (e.g., LangChain, AutoGPT, Zapier, Make).
• Build dashboards, reports, and insights using AI-powered analytics tools.
• Act as the Founder’s right hand for all-things-AI — always testing, always moving.

You’ll Fit In If You:

Are obsessed with AI and have been hands-on with tools like:
• OpenAI (ChatGPT, GPTs, API, Assistants API)
• Zapier, Make, Notion AI, N8N, Airtable, Bardeen, ElevenLabs, Runway, Perplexity, etc.
• Bonus: Some knowledge of LangChain, Vector DBs (like Pinecone/Weaviate), or no-code AI builders.

Have a strong understanding of LLMs, agents, APIs, prompts, embeddings, workflows.

Are curious, agile, and impatient to implement instead of planning endlessly.

Can break complex systems into workflows and solve using first principles.

Are a natural builder — not afraid to test, fail, and ship fast.

Can work directly with the Founder — strong communication, low ego, high ownership.

Must Haves:
• Technical comfort — no formal coding needed, but basic scripting/API knowledge is a plus.
• Proven track record of building or using AI tools in real-world use cases.
• Ability to prioritize impact over perfection — speed is more important than polish.
• Comfortable in a fast-paced, ambiguous, high-autonomy environment.