Highlights
Multi-agent SDK / gateway FastAPI service hosting many agents behind path-prefix routing, per-agent tool registries, session-scoped conversational context. " LLM-driven orchestrator that routes user intent across a portfolio of specialized agents delegation, memory, response validation, capability discovery.
Numbers & Facts
| Location | Dallas, TX |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Description
Location: Dallas, TX / Hybrid
Duration: 6 months
GBaMS ReqID: 10941209
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.
Must Have:
" Strong hands-on experience in building Agentic AI solutions and frameworks. The evaluation should focus on this.
" Associates should demonstrate their experience designing and implementing Agentic AI solutions in real-world environments.
" A self-driven mindset with the ability to work independently and take ownership.
" Experience working on large-scale initiatives for major enterprise clients.
" Clear articulation of their use cases, specific contributions and impact within project teams.
" Ability to confidently explain solution scenarios, architecture decisions, challenges, and outcomes.
" Confidence and capability to design and develop their own AI use cases from concept to execution.
Responsibilities
" LLM-driven orchestrator that routes user intent across a portfolio of specialized agents delegation, memory, response validation, capability discovery.
" Agent 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.
Duration: 6 months
GBaMS ReqID: 10941209
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.
Must Have:
" Strong hands-on experience in building Agentic AI solutions and frameworks. The evaluation should focus on this.
" Associates should demonstrate their experience designing and implementing Agentic AI solutions in real-world environments.
" A self-driven mindset with the ability to work independently and take ownership.
" Experience working on large-scale initiatives for major enterprise clients.
" Clear articulation of their use cases, specific contributions and impact within project teams.
" Ability to confidently explain solution scenarios, architecture decisions, challenges, and outcomes.
" Confidence and capability to design and develop their own AI use cases from concept to execution.
Responsibilities
" LLM-driven orchestrator that routes user intent across a portfolio of specialized agents delegation, memory, response validation, capability discovery.
" Agent 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.
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
