AI Engineer: Agentic Systems & Backend Architect

TriCom Technical Services, Inc.; Kansas City (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

TriCom Technical Services, Inc. is seeking an AI Engineer to build LLM-powered agentic systems and robust backend architectures. The role focuses on turning vague problems into well-designed software, with strong emphasis on problem solving over tool familiarity.

You will design and implement back-end services, APIs, and integrations used by agents, assess when LLMs are appropriate, and rapidly prototype to validate ideas before hardening the solution.

Qualifications

• Strong Python skills and back-end engineering fundamentals: API design, integrations, auth, data handling, and building services that work.
• Hands-on experience building with LLMs, especially agentic patterns like tool/function calling, multi-step workflows, and retrieval.
• Ability to think abstractly, architect systems from vague requirements, and explain your reasoning clearly.
• A track record of figuring things out independently, learning new tools fast, finding creative workarounds, and shipping quality code; a tinkerer's mindset.
• Awareness of what makes agent systems trustworthy in practice (e.g., evaluating output quality, limiting what an agent can access, and handling failures gracefully).

Responsibilities

• Take ambiguous business problems, design a sensible approach, and deliver working solutions with minimal hand-holding.
• Build agentic workflows where LLMs reason, call tools, and interact with internal systems and APIs.
• Design and build the back-end services, APIs, and integrations that agents utilize.
• Decide when an LLM is the right tool and when conventional code is simpler and more reliable.
• Prototype quickly to test ideas, then harden what works.

Skills

Python

Back-end engineering

LLM integration

System design

Problem solving

Job description

TriCom Technical Services, Inc. is seeking an AI Engineer to build LLM-powered agentic systems and robust backend architectures. The role focuses on turning vague problems into well-designed software, with strong emphasis on problem solving over tool familiarity.

You will design and implement back-end services, APIs, and integrations used by agents, assess when LLMs are appropriate, and rapidly prototype to validate ideas before hardening the solution.