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AI Engineer
Skills
Cloud ComputingJavascriptAmazon Web ServicesArtificial IntelligenceDesignDesign-BuildEngineering
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- At least 5 years' experience in similar roles
- Experience with LLMs AI agents and agentic design patterns
- Ability to translate requirements into clear technical direction and execute
- Strong curiosity with habit of reading papers and running experiments
- Entrepreneurial tenacious and motivated by impact
- Comfortable operating with ambiguity and asking questions
- Independent self-driven and a strong collaborator
- Driven by customer feedback and customer centricity
- Experience with Python React data engineering pipelines evals API integrations CI/CD and AWS cloud infrastructure
Nice to have
- Curious
- Entrepreneurial
- Tenacious
- Resilient
- Independent
- Self-driven
- Collaborative
- Customer-centric
- Ambiguous-comfortable
- Impact-driven
Day to day
- Translate customer and market requirements into AI-powered product features quickly and effectively
- Design and build agentic architectures using LLMs from single-agent workflows to multi-agent systems
- Lead rapid R&D cycles by researching new approaches prototyping rigorously evaluating and shipping scalable solutions
- Build production-ready systems and collaborate across product engineering and commercial teams to solve real problems
- Continuously improve products using data user feedback and customer-centric insights
Hiring process
- Screening interview with HR
- Introductory interview with hiring manager/technical exercise
- Capability interview with CEO/team members