Sr. AI Engineer
Skills
APIBusiness ManagementDefaultsEngineeringGo-To-Market StrategyReasoning SkillsRisk Management
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years in software engineering AI engineering or technical architecture within high-growth technology environments or AI startups
- Hands-on experience building and deploying LLM-powered applications RAG systems and agentic workflows
- Deep understanding of modern AI tech stack prompt engineering API integrations and scalable deployment infrastructure
- Ability to execute complex technical work streams with limited oversight and high accountability
- Strong technical communication skills for explaining architectural decisions and trade-offs to non-technical partners
- Practical shipping-oriented approach focused on reliable production-ready systems
Nice to have
- Hands-on
- High accountability
- Shipping-oriented
- Strong communicator
Day to day
- Design scalable AI agent architecture with precise technical requirements for reasoning frameworks risk controls and retrieval interfaces.
- Build test and deploy production-ready LLM RAG and agentic AI solutions with a hands-on shipping mindset.
- Integrate and scale AI agents into operational workflows while improving decision accuracy reducing latency and ensuring secure reliable performance.