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Backend Software Engineer – Core AI
GoodweekBackend engineer building Goodweek’s scalable Core AI infrastructure for its business productivity platform. Integrating LLMs, RAG, orchestration, security, observability, and data pipelines.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining scalable AI infrastructure, integrating LLMs, and optimizing backend architecture for performance and security. Proficient in developing robust data pipelines and APIs while ensuring high-quality technical documentation and communication.
Highest-signal resume keywords
Node.jsTypeScriptAI/ML IntegrationBackend ArchitectureAWS Cloud Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Node.jsTypeScriptAI/ML IntegrationBackend ArchitectureData PipelinesAPIsSecurity Best PracticesPostgreSQLCI/CDAgile Methodologies
Soft Skills
Technical CommunicationAgile MindsetDocumentation Skills
Tools & Technologies
NestJSReactGitAWS
Industry Keywords
LLMsRAGScalabilityMulti-Agent DelegationLatencyResponse Quality
Tech Stack
Tools & technologiesAWSCloudGoJavaScriptNode.jsPostgresPythonReactTypeScript
About the role
Key responsibilities & impact- Build and maintain the core infrastructure that makes the AI platform fast, reliable, and scalable
- Develop the foundational Core AI layer covering orchestration, memory, low-level security, and system harness
- Coordinate AI workflows, model calls, multi-step reasoning, and multi-agent delegation
- Build RAG pipelines and knowledge bases
- Integrate and tune new LLMs into a production-grade backend
- Implement security, guardrails, and LLM evaluation for latency and response quality
- Build robust data ingestion and export pipelines and services for varied file formats
- Design context-window and token-optimization strategies to improve LLM efficiency and control costs
- Design scalable APIs and automate deployment pipelines
- Monitor and test the platform to maintain reliability and performance
- Participate in technology-stack decisions
- Document technical knowledge and drive innovation across the AI platform
Requirements
What you’ll need- 5+ years of experience with Node.js and TypeScript
- NestJS and React are a plus
- PostgreSQL is a plus
- Hands-on experience or strong familiarity with AI/ML integration, including LLMs and RAG
- Solid understanding of backend architecture, scalability, and security best practices
- Experience with databases, authentication, and AWS cloud platforms
- Familiarity with CI/CD, Git workflows, and agile methodologies
- Bonus: familiarity with Python, Go, or other backend programming languages applied to AI
- Strong technical communication
- Agile mindset focused on product and business value
- Ability to document and defend architectural decisions
- Ability to balance code quality and delivery speed
- Technical English required
Benefits
Comp & perks- Health insurance provided by the employer
- Meal vouchers
- Transportation cost reimbursement (50%)
- Flexible working hours
- Hybrid remote work
- Daily use of English through close collaboration with teams in the US and Spain