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Tech Stack
Tools & technologiesAWSCloudPythonTypeScript
About the role
Key responsibilities & impact- Design and build the knowledge graph that represents structured content, its relationships, and its provenance.
- Own the RAG retrieval pipeline end-to-end — chunking strategy, embeddings, hybrid retrieval, re-ranking, evaluation.
- Drive measurable improvements in retrieval quality, hallucination rates, token economics, and latency.
- Work directly with lighthouse customers to shape what "grounding" means in practice for enterprise AI deployments.
- Contribute to the architectural foundations that the rest of Paligo's AI work will build on.
- Partner with our CISO to keep what we build compliant with our security standards and data protection obligations.
Requirements
What you’ll need- 5+ years as a software engineer, with significant full-stack experience.
- 2+ years shipping AI features to production — not just experiments.
- Direct, hands-on experience building RAG systems and working with vector databases, embeddings, and retrieval evaluation.
- Familiarity with knowledge graphs, graph databases, or structured retrieval approaches — and the judgement to know when graph-based retrieval beats vector search, and when it doesn't.
- Strong TypeScript, Python, backend, and cloud infrastructure skills (AWS preferred).
- Containerization and infrastructure-as-code.
- Familiarity with agentic workflows and MCP-style tool integration.
- The product-sense to make good tradeoffs between retrieval quality, cost, and latency.
- Professional fluency in English.
Benefits
Comp & perks- Competitive benefits
- Flexible working hours
- Paid time off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
TypeScriptPythonfull-stack developmentRAG systemsvector databasesembeddingsretrieval evaluationcontainerizationinfrastructure-as-codecloud infrastructure
Soft Skills
product sensecommunicationcollaborationjudgmentproblem-solving
