Applied AI Engineer

Linkt•Austin, TX

4d•Hybrid

About The Position

Linkt is an AI deployment company based in Austin. We embed senior engineers directly inside client organizations — from PE-backed platforms to national enterprise brands — to build and ship production AI systems, not slide decks. The role involves sitting with stakeholders to scope the real problem, architecting the system, building it, integrating it with messy enterprise infrastructure, deploying it to production, and iterating until it delivers. You are the technical face of Linkt to the client — engineer, consultant, and product owner in one.

Requirements

2+ years shipping production software — we care about evidence of shipping, not pedigree
Hands-on experience building with LLMs: API integrations, agent frameworks, RAG, prompt and eval design
Strong Python and/or TypeScript
Comfort with ambiguity — you can walk into an undefined problem and leave with a scoped plan
Communication skills good enough to run a client meeting solo
Based in Austin or willing to relocate

Nice To Haves

Prior consulting, agency, or forward-deployed experience
Voice agent work: telephony, streaming, real-time systems
Enterprise integration experience (Salesforce, NetSuite, Snowflake, etc.)
Things we can look at — open source, side projects, demos

Responsibilities

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