Engineering Lead – Founding Enginner

7 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Remote

Job Description

Engineering Lead - Agentic RAG Platform

Xenonlabs.AI | Remote | Equity + Revenue Sharing


The Opportunity

XeRAG


The platform is in an advanced stage of development, with roughly 70% of the core product already built.


What You'll Own

  • Architect and scale advanced RAG pipelines (hybrid search, re-ranking, agentic RAG)
  • Lead full-stack development: Next.js 14, TypeScript, PostgreSQL + pgvector, AWS
  • Implement cutting-edge techniques: HyDE, CRAG, Graph RAG, cross-encoder re-ranking
  • Design multi-tenant architecture with enterprise security
  • Drive product from advanced development to production launch

Requirements

  • 7+ years software engineering; 4+ years TypeScript/React/Next.js
  • Production RAG experience with vector databases and LLMs
  • Deep AWS knowledge (Lambda, S3, SQS, CDK)
  • PostgreSQL optimization expertise
  • Startup mindset — self-directed, comfortable with ambiguity


Advanced RAG Expertise (Required)

  • Retrieval Strategies: Hybrid Search: dense vectors + BM25/sparse + keyword
  • Multi-Vector Retrieval: document-level vs. chunk-level embeddings
  • HyDE (Hypothetical Document Embeddings), multi-query/expansion
  • Contextual compression and dynamic context pruning
  • Chunking & Processing: Semantic chunking, hierarchical indexing (parent-child)
  • Late chunking (embed full docs before splitting)
  • Metadata enrichment using document structure (headings, tables, sections)
  • Re-Ranking & Filtering: Cross-encoder re-ranking (Cohere Rerank, BGE-reranker or equivalent)
  • RRF (Reciprocal Rank Fusion), MMR (Maximal Marginal Relevance)
  • Pre/post-retrieval metadata filtering
  • Advanced Techniques: Agentic RAG with tool use and multi-step reasoning
  • Self-RAG, CRAG (Corrective RAG), Graph RAG, RAPTOR
  • Evaluation & Optimization: RAG evaluation metrics: faithfulness, relevance, context precision/recall
  • RAGAS or similar frameworks; offline/online eval pipelines
  • Prompt engineering for accuracy and grounding
  • Hallucination detection and mitigation


Ideal Candidate

You want to own and scale something already in motion. You're excited about RAG/AI technology and prefer equity upside over guaranteed salary. You thrive with autonomy.

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