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BJAK

Full Stack Engineer, AI Systems

BJAK

Full Stack Engineer developing AI-driven workflows for smart assistant product. Designing integrations and improving system reliability for user interactions across various tools.

Posted 7/19/2026full-timeRemote • 🇵🇹 PortugalMid-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

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Applicant Tracking System Keywords

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Hard Skills
Frontend DevelopmentBackend DevelopmentAI IntegrationSystem ReliabilityObservabilityReal-Time InteractionsStreaming DataFailure RecoveryPragmatic Engineering DecisionsIterative Development
Soft Skills
CollaborationAdaptabilityProblem-Solving
Industry Keywords
AI-Powered ApplicationsRAG SystemsEnd-to-End Product FeaturesReal-World ConditionsFast-Moving Environments

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