We’re building Reflow, a workforce and workflow intelligence platform that helps teams understand and improve how work gets done. A key part of that vision is Reflow AI, agentic, automation-focused intelligence that adapts to how people actually work. We’re looking for an AI developer who can experiment fast, optimize intelligently, and help us push the boundaries of AI-assisted performance.
What you’ll do
Develop, optimize, and maintain agentic AI pipelines for automation and workflow intelligence.
Experiment with prompt engineering, context tuning, and model orchestration to improve performance and adaptability.
Work with vector databases, RAG (retrieval-augmented generation), and related frameworks for contextual intelligence.
Collaborate with engineers and product teams to integrate AI systems into real-world workflows.
Continuously refine and improve models through experimentation, data feedback, and iterative development.
Who you are
2+ years working on agentic AI systems that have scaled to external users
4+ years as a Backend Developer or similar engineering role
Strong foundation in Python, LLMs, and agentic architectures.
Experienced in prompt engineering, context optimization, and AI pipeline design.
Comfortable building fast prototypes and testing model behavior in varied, complex contexts.
Curious, pragmatic, and unafraid to experiment, you turn uncertainty into working systems.
Bonus points
Experience integrating AI into desktop or web apps.
Familiarity with LangChain, OpenAI API, or similar frameworks.
Background in automation systems, workflow optimization, or enterprise AI tools.
Why join
You’ll help shape the intelligence core of Reflow, the layer that learns from work patterns and turns data into action. You’ll work across experiments, prototypes, and production systems, collaborating directly with founders and engineers. Ideal for someone who loves to push AI beyond the theoretical into the real.
Compensation:
We offer competitive pay based on the market and where you’re located. The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates. Our final offer will depend on things like your experience, skill set, and location.