Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Full Stack Engineer - AI Systems to build the product layer for AI capabilities. The role involves designing workflows and integrating AI systems to deliver reliable and efficient interactions for users.
Responsibilities
- Build end-to-end product features across frontend, backend, and AI integrations
- Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps
- Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions
- Design real-time AI interactions with streaming, partial results, and tight latency constraints
- Improve system reliability, observability, and fallback mechanisms
- Collaborate closely with ML, backend, and product teams to ship features end-to-end
- Continuously iterate based on real usage and failure modes
- Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows
- Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions
- Reduce latency and improve responsiveness of AI interactions while maintaining output quality
- Build robust fallback and recovery mechanisms for LLM and tool failures in production environments
- Improve the success rate and reliability of AI-driven workflows through iteration, evaluation, and monitoring
- Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems
- Contribute to a product experience where AI feels proactive, consistent, and dependable over time
Skills
- Strong experience in Full Stack Engineering (Frontend and Backend)
- Solid understanding of system design and API architecture
- Experience working with LLMs, RAG systems, or AI-powered applications
- Ability to handle ambiguity and make pragmatic engineering decisions
- Strong ownership; able to take features from idea to production
- Comfort working in fast-moving environments with evolving requirements
- Tech Stack: AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, and SQL
Benefits
- Medical insurance
- Dental
- Vision
- Savings Plan Options
- PTO
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