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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Build AI-powered workflows, assistants, agents and automation systems.
- Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
- Work with product and engineering teams to turn manual processes into scalable AI-native systems.
- Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
- Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
- Prototype quickly, test with users or operators, then productionize what works.
- Improve speed, quality and consistency across workflows using AI where it creates real business value.
Requirements
What you’ll need- Strong software engineering foundation, preferably with Python and backend systems.
- Hands-on experience building with LLM APIs, agents, RAG, workflow automation or AI tools.
- Able to connect AI systems with real product, data and operational workflows.
- Good judgement on where AI helps and where rule-based systems or human review are better.
- Understands evaluation, accuracy, latency, cost, privacy and failure modes.
- Fast builder who can prototype, test and ship practical systems.
- Experience in fintech, insurance, support automation, CRM or operations automation is a strong advantage.
Benefits
Comp & perks- Strong English communication is required.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Software EngineeringBackend SystemsAI-Native SystemsPrototypingTestingEvaluationMonitoringFallback FlowsData IntegrationOperational Workflows
Soft Skills
Good JudgementFast Builder