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Senior AI Engineer - Agentic AI / Multi-Agent Platform
Diverse Lynx
1 hour ago
Full-time
On-site
Dallas, Texas, United States
Title:
Senior AI Engineer - Agentic AI / Multi-Agent Platform . Location:
Dallas, TX - Hybrid Duration:
6 Months Pay Rate: $55-$60/hr Job Summary We are seeking a
Senior AI Engineer
to build and scale a production-grade
Multi-Agent AI platform
serving thousands of internal users across multiple business units. This role requires strong hands-on experience designing and implementing
Agentic AI and Multi-Agent solutions
in real-world enterprise environments. The ideal candidate should be self-driven, capable of owning AI solutions from concept through production, and able to clearly explain their technical contributions, architecture decisions, challenges, and project outcomes. Must-Have Skills
Strong hands-on experience building
Agentic AI solutions and frameworks Experience designing and implementing
Multi-Agent AI systems Strong
Python
development experience Experience with
LLMs, RAG, tool/function calling, and structured outputs Hands-on experience with agent frameworks such as
LangGraph, Agent SDKs, AutoGen, CrewAI, or similar Experience with
Vector Search and Embeddings Strong experience with
AWS or GCP Experience building scalable enterprise AI solutions Strong understanding of AI safety, guardrails, and evaluation frameworks Key Responsibilities
Build an
LLM-driven orchestrator
to route user intent across multiple specialized AI agents. Develop multi-agent capabilities including:
gent delegation gent memory Response validation Capability discovery
Build an
Agent Selection Layer
using hybrid retrieval, Vector RAG, and LLM-based selection. Develop scalable
FastAPI services
for hosting multiple AI agents. Build and manage
tool-driven AI agents
with dynamic tool selection, guardrails, and evaluation. Design secure Data API layers between AI agents and enterprise databases. Develop and support
Agent-to-Agent (A2A) communication
and partner-team agent onboarding. Implement RAG pipelines, vector search, embeddings, and knowledge retrieval systems. Build evaluation and safety frameworks, including:
Hallucination prevention PII/PHI masking udit trails Feedback-loop instrumentation Offline and online evaluations
Ensure production reliability through monitoring, observability, performance optimization, and latency management.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Senior AI Engineer - Agentic AI / Multi-Agent Platform . Location:
Dallas, TX - Hybrid Duration:
6 Months Pay Rate: $55-$60/hr Job Summary We are seeking a
Senior AI Engineer
to build and scale a production-grade
Multi-Agent AI platform
serving thousands of internal users across multiple business units. This role requires strong hands-on experience designing and implementing
Agentic AI and Multi-Agent solutions
in real-world enterprise environments. The ideal candidate should be self-driven, capable of owning AI solutions from concept through production, and able to clearly explain their technical contributions, architecture decisions, challenges, and project outcomes. Must-Have Skills
Strong hands-on experience building
Agentic AI solutions and frameworks Experience designing and implementing
Multi-Agent AI systems Strong
Python
development experience Experience with
LLMs, RAG, tool/function calling, and structured outputs Hands-on experience with agent frameworks such as
LangGraph, Agent SDKs, AutoGen, CrewAI, or similar Experience with
Vector Search and Embeddings Strong experience with
AWS or GCP Experience building scalable enterprise AI solutions Strong understanding of AI safety, guardrails, and evaluation frameworks Key Responsibilities
Build an
LLM-driven orchestrator
to route user intent across multiple specialized AI agents. Develop multi-agent capabilities including:
gent delegation gent memory Response validation Capability discovery
Build an
Agent Selection Layer
using hybrid retrieval, Vector RAG, and LLM-based selection. Develop scalable
FastAPI services
for hosting multiple AI agents. Build and manage
tool-driven AI agents
with dynamic tool selection, guardrails, and evaluation. Design secure Data API layers between AI agents and enterprise databases. Develop and support
Agent-to-Agent (A2A) communication
and partner-team agent onboarding. Implement RAG pipelines, vector search, embeddings, and knowledge retrieval systems. Build evaluation and safety frameworks, including:
Hallucination prevention PII/PHI masking udit trails Feedback-loop instrumentation Offline and online evaluations
Ensure production reliability through monitoring, observability, performance optimization, and latency management.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.