Job Description
Job Title: Diamond Layer Tech Lead
MAX Vendor Rate: ***/hr
Work Location: Remote, or hybrid if local to Mahwah, NJ
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: GCP, 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
MAX Vendor Rate: ***/hr
Work Location: Remote, or hybrid if local to Mahwah, NJ
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: GCP, 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
Numbers & Facts
| Location | New Jersey, NJ (Remote) |
| Industry | Computer/IT Services |
| Salary | $80–$90 Per Hour |
| Company Size | 500 to 999 employees |
| Website | https://www.apolisrises.com/ |
Benefits
Paid Sick Days, Employee Referral Program, Employee Events, Retirement / Pension Plans
About Company
Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.
We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.
Skills
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