Q
AI Engineer with LLM
Q1 Technologies
1 hour ago
Full-time
On-site
Dallas, Texas, United States
Location: Dallas, TX / Hybrid
Duration: 6 months
GBaMS ReqID: 10892199
Summary
Build and scale a production multi-agent AI platform serving thousands of internal users across multiple business units. Monthly release cadence, real users, real latency, real cost.
What You'll Own • LLM-driven orchestrator that routes user intent across a portfolio of specialized agents - delegation, memory, response validation, capability discovery. • gent selection layer - hybrid retrieval (vector RAG over a capability registry) plus closed-set LLM selection with JSON-schema-constrained outputs. • Multi-agent SDK / gateway - FastAPI service hosting many agents behind path-prefix routing, per-agent tool registries, session-scoped conversational context. • Tool-driven agents - 15-30 tools per agent composed dynamically by an LLM; owns tool contracts, guardrails, and evaluation. • Data API layer - parameterized endpoints between agents and databases; LLMs never touch DBs directly. • Partner-team onboarding - versioned A2A contract, bring-your-own-agent registration, auto re-embedding.
Core AI Engineering • Production LLM systems: RAG, tool/function-calling loops, structured outputs, hallucination guards, closed-set selection. • Multi-agent orchestration: A2A protocols, session affinity, human-in-the-loop gating, kill switches, graceful degradation. • Vector search + embeddings at scale (sub-second retrieval over thousands of docs). • Evaluation & safety: PII/PHI masking, audit trails, feedback-loop instrumentation, offline + online eval.
Platform / Infrastructure • Python 3.11+, FastAPI, async I/O, Pydantic. • Modern LLM stacks (Gemini, GPT, Claude) and agent frameworks (LangGraph, Agent SDKs). • Cloud (GCP or AWS): Kubernetes, object storage, workflow orchestration, Vertex/Bedrock-class services. • Redis, MongoDB, Oracle/Postgres, SSO + RBAC. • Observability: Prometheus, structured JSON logs, per-decision audit trails, p95 latency SLOs in seconds.
Skills: Digital : Python~Digital : Machine Learning~Digital : Artificial Intelligence(AI)~Generative AI
Summary
Build and scale a production multi-agent AI platform serving thousands of internal users across multiple business units. Monthly release cadence, real users, real latency, real cost.
What You'll Own • LLM-driven orchestrator that routes user intent across a portfolio of specialized agents - delegation, memory, response validation, capability discovery. • gent selection layer - hybrid retrieval (vector RAG over a capability registry) plus closed-set LLM selection with JSON-schema-constrained outputs. • Multi-agent SDK / gateway - FastAPI service hosting many agents behind path-prefix routing, per-agent tool registries, session-scoped conversational context. • Tool-driven agents - 15-30 tools per agent composed dynamically by an LLM; owns tool contracts, guardrails, and evaluation. • Data API layer - parameterized endpoints between agents and databases; LLMs never touch DBs directly. • Partner-team onboarding - versioned A2A contract, bring-your-own-agent registration, auto re-embedding.
Core AI Engineering • Production LLM systems: RAG, tool/function-calling loops, structured outputs, hallucination guards, closed-set selection. • Multi-agent orchestration: A2A protocols, session affinity, human-in-the-loop gating, kill switches, graceful degradation. • Vector search + embeddings at scale (sub-second retrieval over thousands of docs). • Evaluation & safety: PII/PHI masking, audit trails, feedback-loop instrumentation, offline + online eval.
Platform / Infrastructure • Python 3.11+, FastAPI, async I/O, Pydantic. • Modern LLM stacks (Gemini, GPT, Claude) and agent frameworks (LangGraph, Agent SDKs). • Cloud (GCP or AWS): Kubernetes, object storage, workflow orchestration, Vertex/Bedrock-class services. • Redis, MongoDB, Oracle/Postgres, SSO + RBAC. • Observability: Prometheus, structured JSON logs, per-decision audit trails, p95 latency SLOs in seconds.
Skills: Digital : Python~Digital : Machine Learning~Digital : Artificial Intelligence(AI)~Generative AI