How Remoteville checks and expires listings
Senior AI Engineer
Skills
AdoptionContextContinuous ImprovementLarge Language ModelsPersonal BoundariesProduction DeploymentPrompt Engineering
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 4+ years of related work experience
- Strong understanding of LLM capabilities and limitations
- Experience with prompt engineering and structured output design
- Hands-on experience with embeddings and vector search
- Familiarity with RAG architectures and when to apply them
- Experience designing agent-based architectures
- Understanding of tool use planning strategies and memory mechanisms in LLM systems
- Solid backend and system design fundamentals
- Experience building and deploying production-grade systems
- Ability to debug complex probabilistic outputs
- Comfort working with APIs pipelines and data flows
- Ability to translate user needs into effective AI solutions
- Strong intuition for balancing quality latency and cost
- Focus on delivering measurable product impact
- Communicates clearly across engineering and product teams
Nice to have
- Reliable
- Performant
- Cost-efficient
- Product-focused
- Collaborative
- Detail-oriented
Day to day
- Design and implement AI-powered features such as LLM workflows copilots and agent-based systems with tool use and multi-step reasoning
- Own the full lifecycle from prototyping and evaluation through production deployment and ongoing iteration
- Build reliable performant and cost-efficient AI architectures while improving quality accuracy and consistency of outputs
- Design agentic workflows that integrate with tools APIs and internal systems to perform real-world actions
- Run structured experiments maintain evaluation datasets and implement automated pipelines to continuously improve AI systems
- Design guardrails monitoring and observability to ensure safe reliable and enterprise-ready AI behavior