Full Stack Engineer, AI systems
SingaporeFull-timePosted about 7 hours ago
Build end-to-end AI-enabled workflows with reliable, multi-step agents, tool integrations, and streaming interactions across frontend and backend.
Responsibilities
- Design agent workflows with planning, tool use, failure handling, and recovery.
- Build end-to-end features across frontend, backend, and AI integrations.
- Integrate LLMs, memory, and external tools into reliable systems.
- Design real-time AI interactions with streaming, partial results, and low latency.
- Improve reliability, observability, and fallback mechanisms.
- Collaborate with ML, backend, and product teams to ship features.
- Iterate based on real usage and failure modes.
- Own and ship AI-native features enabling persistent, goal-driven workflows.
- Design patterns for integrating LLMs, memory, and tools into scalable products.
- Contribute to a product where AI feels proactive and dependable over time.
Requirements
- Strong full-stack experience (frontend + backend).
- Solid understanding of system design and API architecture.
- Experience with LLMs, RAG, or AI-powered apps.
- Ability to handle ambiguity and make pragmatic engineering decisions.
- Strong ownership; take features from idea to production.
- Comfort in fast-moving environments with evolving requirements.
Nice to Have
- Experience shipping AI-native workflows or agents.
- Real-time streaming UI and latency optimization experience.
- Production-grade observability and telemetry for AI systems.
- Kubernetes and Docker in production environments.
- Experience across cross-functional teams (ML, backend, product).
- Familiarity with memory architectures for AI systems.
- Proficiency with Python, Node.js, and/or Next.js in production.
About Bjak
Founded
2019 (over 7 years ago)
People
201-500 employees
Industry
Software Development
Type
Privately Held
Locations
Links