AI Developer

Paystone

About The Position

At Paystone, we build products that help businesses grow through better customer experiences, smarter automation, and innovative technology. As we continue investing in AI, we're looking for builders who are excited about creating intelligent systems that solve real problems and deliver measurable impact. Rooted in our values of thinking people first, solving impactful problems, and building a better future, we're looking for an AI Developer who thrives at the intersection of software engineering, artificial intelligence, and problem-solving.

Requirements

Strong Python developer with experience building production-grade applications.
Experience working with AI/ML technologies and modern LLM frameworks.
Comfortable building solutions in environments where requirements evolve quickly.
Excellent problem solver who enjoys working through ambiguity.
Strong communicator who can collaborate effectively with both technical and business stakeholders.
Passionate about building products that create real-world value.

Nice To Haves

Experience with LangChain, LangGraph, RAG, MLflow, or similar AI technologies.
Experience building and deploying AI agents or workflow automation solutions.
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Experience integrating APIs, databases, and third-party systems.
Experience working within SaaS, FinTech, or other high-growth technology environments.
Experience taking solutions from prototype to production.

Responsibilities

Work directly with teams and customers to identify high-impact opportunities for AI and workflow automation.
Design, build, and deploy AI agents and intelligent systems into production environments.
Lead discovery sessions to understand workflows, pain points, and business requirements.
Translate complex business challenges into practical technical solutions.
Rapidly prototype ideas and iterate based on real-world feedback.
Integrate AI solutions with existing systems, applications, and data sources.
Build reusable frameworks and components that accelerate future AI initiatives.
Monitor adoption, performance, and effectiveness of deployed solutions.
Collaborate across technical and non-technical teams to deliver meaningful outcomes.
Stay current with emerging AI technologies and identify opportunities to apply them.