Job Description
Responsibilities:
- Building custom integrations, tools, and AI workflows that unblock customer needs
- Designing and refining AI prompts, RAG systems, and LLM-based solutions
- Writing production-quality code (Python / JavaScript) with the same standards as core engineering
- Deciding whether solutions should remain custom, become reusable, or move into the core product
- Collaborating with core engineering teams to upstream learnings and reduce future friction.
Requirements:
- Strong programming fundamentals (Python / JavaScript preferred, but talent > language)
- Comfort with ambiguity and incomplete requirements
- Curiosity about AI / ML in production (expertise is a bonus, not a requirement)
- Ownership: Takes end-to-end responsibility for outcomes, not just tasks; drives problems to resolution even across unclear boundaries.
- Pragmatic: Focused on solutions that work now
- Curious: Wants to understand the “why” behind problems
- Entrepreneurial: Treats technical problems as business problems
- Communicative: Can translate technical decisions into a business context
- AI Native: Exposure to AI systems or prompt & context engineering.
Qualification: Bachelor’s degree in engineering or a related field
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