Applied AI Engineer

Posted 2 Months Ago
Austin, TX, USA
In-Office
100K-200K Annually
Junior
Artificial Intelligence • Software • Consulting
The Role
Design, build, and deploy LLM-powered production systems (agents, RAG pipelines, voice agents). Integrate with enterprise stacks (CRMs, ERPs, data warehouses), harden with evals, observability, and guardrails, run client scoping and delivery, and feed learnings into internal tooling and playbooks.
Summary Generated by Built In
Applied AI Engineer

Linkt · Austin, TX (hybrid) · Full-time

About Linkt

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

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.

What you'll do
  • 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

What we're looking for
  • 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 have
  • 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

Why this role
  • Small senior team, zero bureaucracy — your work ships and clients see it immediately

  • Direct trajectory to leading accounts and owning client relationships

  • A seat at the center of Austin's AI scene through Hack AI

  • Real upside as we scale — you're joining early

Compensation & benefits
  • Base: $100k-$200k depending on experience

  • 0.5% equity

Process

Intro call → technical deep-dive on something you've built → working session with the founders → offer. We move in about two weeks.

Linkt is an equal opportunity employer. We evaluate candidates on ability and evidence of shipping, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Skills Required

  • 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; scope undefined problems into plans
  • Communication skills to run client meetings solo
  • Based in Austin or willing to relocate
  • Prior consulting, agency, or forward-deployed experience
  • Voice agent work: telephony, streaming, real-time systems
  • Enterprise integration experience (Salesforce, NetSuite, Snowflake, etc.)
  • Open source, side projects, demos to review
Am I A Good Fit?
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The Company
7 Employees
Year Founded: 2023

What We Do

Linkt is an Austin-based AI deployment company that embeds senior engineers directly within client organizations, including private-equity-backed platforms and national enterprise brands. It helps clients identify real problems, architect and build production AI systems, integrate them with complex enterprise infrastructure, deploy them, and iterate until they deliver measurable value, rather than merely producing strategy presentations. Its services combine engineering, consulting, and product ownership to turn artificial intelligence into business capabilities.

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