Diamond Layer Tech Lead

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract Corp To Corp
Contract W2
2 Years
No Travel Required
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • Diamond Layer

Summary

Hi
 
Our client is looking for a Diamond Layer Tech Lead project in Remote below is the detailed requirement.
 
Job positing Title: Diamond Layer Tech Lead
Location: Remote
 
Required Skills :Advanced Python,Agentic AI, RAG,Retrieval/Reranking/Grounding ,Google Cloud Platform
 
Job description:
•    Bachelor’s degree in related field
•    Primary Focus: Master Coordinator, domain agents, semantic retrieval, knowledge graphs, data foundations, and agent quality 
•    Backend Engineering: Advanced Python; agent services; multi-step workflows; orchestration state; tool invocation; fallback handling; reusable agent patterns 
•    API and Integration: Standard agent and tool contracts; agent registration; deterministic and LLM-assisted routing; multi-domain execution; model and platform adapters 
•    Data Engineering: Advanced SQL and BigQuery; source discovery; data-gap analysis; data dictionaries; business-key validation; reconciliation; quality, freshness, lineage, and source-of-truth assessment 
•    AI and Retrieval: Deep RAG expertise; retrieval and reranking; grounding; prompt/context assembly; citation support; hallucination reduction; cross-domain synthesis 
•    Knowledge Graph: RDF, SPARQL, ontology modeling, SHACL, Stardog, virtual graphs, relational-to-semantic mappings, semantic versioning, and graph promotion 
•    Cloud and Infrastructure: Google Cloud Platform, GKE, BigQuery, GCS, agent-runtime deployment, semantic-platform connectivity, environment configuration, and secure service identities 
•    CI/CD and Release: Agent and knowledge-graph CI/CD; automated evaluation gates; versioned prompts, tools, mappings, ontologies, queries, and deployment definitions 
•    Testing and Quality: Agent evaluation for accuracy, relevance, groundedness, completeness, hallucination, latency, and cost; benchmark scenarios and gold-answer datasets 
•    Observability and Operations: End-to-end tracing across coordinator, agent, tool, semantic, and data layers; Langfuse or equivalent LLM observability; Grafana reporting and model comparisons 
•    Security and Governance: Identity-aware retrieval; least-privilege data access; cross-domain guardrails; trace and prompt-data protection; source attribution and complete auditability 
•    Tech Lead Expectations: Own orchestration, semantic, and data-foundation design; remain hands-on; create reusable patterns; mentor engineers; drive evaluation and production readiness
 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10120137
  • Position Id: 71904-10367-1790868004
  • Posted 2 hours ago
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