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Tektree Systems Inc.

Diamond Layer Tech Lead-W2-Remote, or hybrid if local to Mahwah, NJ

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Job Description

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

Years of Experience:

15.00 Years of Experience