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.

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 Have: 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.

Impact: Build AI solutions that directly improve customer experiences, operational efficiency, and business outcomes.
Ownership: Take ideas from concept to production and help shape the future of AI across the organization.
Innovation: Work with modern AI technologies, agent frameworks, and automation tools in a rapidly evolving space.
Collaboration: Partner with Product, Engineering, Data, Operations, and business stakeholders to solve meaningful problems.

AI Developer

Key skills