Production AI Engineer: LLMs & Enterprise Integrations

Linkt; Austin (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Equity / bonus structure

Tools budget

Job summary

Linkt, an AI deployment company based in Austin, is seeking an Applied AI Engineer to design, implement, and deploy production AI systems for client enterprises in a hybrid Austin setting.

You will work closely with stakeholders to scope problems, architect solutions, and deliver end-to-end systems integrating with enterprise stacks, including CRMs and ERPs. Strong Python/TypeScript and 2+ years of shipping production software are required.

Qualifications

• 2+ years shipping production software.
• Hands-on experience building with LLMs: API integrations, agent frameworks, RAG, prompt and eval design.
• Strong Python and/or TypeScript.
• Comfort with ambiguity and scoped problem solving.
• Communication skills to run a client meeting solo.
• Based in Austin or willing to relocate.

Responsibilities

• Design and ship LLM-powered systems in production: agents, retrieval pipelines, workflow automation, voice agents, and evaluation infrastructure.
• Embed with client teams — run working sessions with executives to staff engineers, translating business problems into shippable systems.
• Integrate with real enterprise stacks: CRMs, ERPs, data warehouses, legacy APIs.
• Harden prototypes into production systems with evals, observability, guardrails, and monitoring.
• Own delivery: timelines, demos, client communication, and outcomes.
• Feed learnings back into Linkt's platform and tooling.

Skills

Shipping production software

LLM integration

Python or TypeScript

Ambiguity tolerance

Client communication

Austin relocation

Tools

LLM frameworks

Job description

Linkt, an AI deployment company based in Austin, is seeking an Applied AI Engineer to design, implement, and deploy production AI systems for client enterprises in a hybrid Austin setting.

You will work closely with stakeholders to scope problems, architect solutions, and deliver end-to-end systems integrating with enterprise stacks, including CRMs and ERPs. Strong Python/TypeScript and 2+ years of shipping production software are required.