Software Developer (Agentic Systems)
About the Company
We are building a new category of workflow automation for small and medium enterprises: agentic systems capable of executing real business processes end-to-end, not simply generating text or surfacing recommendations.
This is an early-stage build. The direction is clear, but the product will evolve rapidly based on real-world testing with users. We are looking for a technical builder who wants to help shape the product from the ground up.
The team has experience in large tech enterprises and also founding venture-backed startups. Possesses a distribution channel for GTM with the right product.
About the Role
We are seeking a developer who is genuinely engaged with where AI is heading and who combines technical execution with strong product instincts. You will work directly on the core problems that define the company.
Responsibilities include:
- Designing and building AI agent workflows that take actions, not just generate text
- Integrating LLMs with real-world tools, APIs, and business processes
- Translating messy, human workflows into structured, automated systems
- Building lightweight interfaces for internal use and customer demos
- Rapid prototyping and iteration based on live use cases
We are looking for someone who is:
- An AI-native builder. You have shipped real products with LLMs, not just experimented with them. You are comfortable with prompt engineering, agent frameworks (LangChain, LangGraph, CrewAI, or similar), RAG pipelines, and tool and function calling.
- Genuinely plugged into the AI space. You hold informed views on Claude vs. GPT vs. Gemini, when to reach for open-source models, and which providers fit which use cases (reasoning, vision, coding, long context, cost efficiency, and so on).
- Full-stack enough to ship. You are comfortable wiring together APIs, webhooks, authentication, databases, and lightweight frontends (Next.js, React, or similar). You can stand up a working prototype in days, not weeks.
- High-agency and comfortable with ambiguity. Early-stage work has no playbook. You are energized by figuring things out rather than waiting for specifications.
- Biased toward shipping. You would rather get a rough version in front of a real user this week than spend a month perfecting the architecture.
- Equity-based arrangement during the early phase
- Flexible commitment, with part-time engagement available to start
- Opportunity to grow into a long-term technical partner role where there is strong mutual fit
If this resonates, we would like to hear from you.