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Full Stack Engineer, AI systems(m/w/x)
Building end-to-end AI assistant features with LLM integration and real-time streaming. Strong full stack engineering and system design experience required. Focus on agent workflows and system reliability.
Requirements
- Strong full stack engineering experience
- Solid system design and API architecture understanding
- Experience with LLMs, RAG systems, or AI applications
- Ability to handle ambiguity and make pragmatic decisions
- Strong ownership and feature delivery
- Comfort in fast-moving environments with evolving requirements
Tasks
- Build end-to-end product features
- Design agent workflows for planning and recovery
- Integrate LLMs, memory, and external tools
- Design real-time AI interactions with streaming results
- Improve system reliability and observability
- Collaborate with ML, backend, and product teams
- Iterate based on real usage and failure modes
- Ship AI-native product features
- Design and deploy multi-step agent workflows
- Reduce AI interaction latency
- Build robust fallback mechanisms
- Improve AI workflow success rate
- Establish scalable integration patterns
- Contribute to a proactive and consistent AI experience
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
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Full Stack Engineer, AI systems(m/w/x)
Building end-to-end AI assistant features with LLM integration and real-time streaming. Strong full stack engineering and system design experience required. Focus on agent workflows and system reliability.
Requirements
- Strong full stack engineering experience
- Solid system design and API architecture understanding
- Experience with LLMs, RAG systems, or AI applications
- Ability to handle ambiguity and make pragmatic decisions
- Strong ownership and feature delivery
- Comfort in fast-moving environments with evolving requirements
Tasks
- Build end-to-end product features
- Design agent workflows for planning and recovery
- Integrate LLMs, memory, and external tools
- Design real-time AI interactions with streaming results
- Improve system reliability and observability
- Collaborate with ML, backend, and product teams
- Iterate based on real usage and failure modes
- Ship AI-native product features
- Design and deploy multi-step agent workflows
- Reduce AI interaction latency
- Build robust fallback mechanisms
- Improve AI workflow success rate
- Establish scalable integration patterns
- Contribute to a proactive and consistent AI experience
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
A1
Industry
IT
Description
A1 is a self-funded AI division under BJAK, focused on building a new consumer AI product with global relevance.
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