Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
BJAK

Full Stack Engineer, AI Systems

BJAK

Full Stack Engineer responsible for building workflows that integrate AI systems for better task completion. The role includes collaborating with ML and backend teams to enhance product features.

Posted 7/19/2026full-timeRemote • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full stack engineering, integrating LLMs and AI-powered applications while ensuring system reliability and effective API architecture. Capable of collaborating with cross-functional teams to deliver end-to-end product features in dynamic environments.

Highest-signal resume keywords
Full Stack EngineeringSystem DesignAPI ArchitectureLLMs IntegrationFeature Ownership

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Frontend DevelopmentBackend DevelopmentAI IntegrationReal-Time InteractionsObservability ImprovementFailure RecoveryStreaming Data HandlingPragmatic Engineering DecisionsTool Use PlanningRAG Systems
Soft Skills
CollaborationAdaptabilityProblem-SolvingOwnership
Industry Keywords
AI-Powered ApplicationsReal-World ConditionsEnd-to-End FeaturesFast-Moving EnvironmentsIterative Development

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • Strong experience in full stack engineering (frontend + 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

Benefits

Comp & perks
  • Health insurance
  • Professional development opportunities
  • Flexible working arrangements