Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
18 hours ago
SQLAssemblyBigQueryGoogle CloudGrafanaLLMPythonReconciliation
Job Description
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
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
• 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
Similar jobs
- DS
Hadoop Administrator
NewDminds Solutions Inc.
Tampa, FL🇺🇸Hybrid18 hours agoNagiosApacheCapacity Planning+2 - DT
Copilot Specialist
NewDotcom Team, LLC
United States🇺🇸Hybrid18 hours agoCompliance - CS
Senior Manager, Transaction Advisory Services - Full Time
NewCollaborate Solutions, Inc.
Totowa, NJ🇺🇸$160k/yrRemote18 hours agoCPACompensation & BenefitsDue Diligence+4 - AT
QA Architect (Local to MD, VA or DC)
NewAtinfo Technology Inc
Bethesda, MD🇺🇸On-site18 hours agoAWSScrumSelenium+12 - BS
ServiceMax Architect
NewBellatrix Systems LLC
United States🇺🇸On-site18 hours agoOracleSalesforceScrum+8 - PG
Coupa Lead Consultant, Hybrid - 70454
NewPRIMUS Global Services Inc.
Chicago, IL🇺🇸Hybrid18 hours agoCompliancePayrollStakeholder Management