Forward Deployed AI Engineer

Percepta

$130K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI engineering or related field
  • Proficient in Python/TypeScript and cloud technologies (AWS/GCP/Azure)
  • Hands-on experience with LLM tooling and production LLM systems preferred
  • Strong understanding of DevOps practices
  • Experience in startup environments or as a founding engineer is a bonus

Responsibilities

  • Collaborate with customer executives to shape AI vision and strategy
  • Identify and prioritize actionable AI applications to drive business value
  • Rapidly design, build, and deploy production-grade AI solutions
  • Contribute to core product development based on customer feedback
  • Iterate on products to enhance features and functionalities based on real-world usage

Benefits

  • Opportunity to work on high-impact AI projects for leading businesses
  • Engage in a collaborative team environment focused on innovation
  • Hands-on involvement in cutting-edge AI technology
  • Possibility for personal and professional growth in a startup-like atmosphere
  • Opportunity to shape the future of AI in critical institutions
Full Job Description
About the role

We're hiring Forward Deployed AI Engineers who will work directly with customer executives, operators, and technical teams to define and deliver high-impact AI systems. We don't build prototypes or laboratory projects- you'll design, build, and ship production-grade AI agents and workflows that drive millions in business value for customers.

Our Forward Deployed Engineers:
  • Shape the AI vision: Collaborate with customer stakeholders to define their long-term AI strategy and transformation roadmap.
  • Identify high-leverage use cases: Work backwards from the long-term vision to surface and prioritize specific AI applications that connect our ambition to measurable business value.
  • Ship real products: Rapidly build and deploy AI solutions that work in the wild, with real users and real data.
  • Advance our core product: Encode the lessons from our customer engagements in our Mosaic product, consistently contributing new features, patterns, and abstractions.


What we're looking for
  • AI-nativeness: You're excited about the potential for AI to transform businesses and want to play a hands-on role in bringing frontier technology into critical institutions.
  • Being generative and collaborative: You love constantly jamming on new "what if" ideas with teammates and partners.
  • Extreme ownership: You're willing to jump in and love being the one on the hook. You aren't going to wait to be pointed at a task-you're going to identify what you think we should do next, and then do it.
  • Execution excellence and speed: You can build stuff in messy environments and know how to get code written and shipped quickly. You can hold the balance of speed and quality and know when to push the pace vs. when to slow down.
  • Customer-obsession and respect: You're motivated by understanding customer pain points and iterating directly with end users to deliver wins quickly.


Bonus if you have
  • Hands-on experience with LLM tooling (LangGraph, Mastra, Agents SDK, etc).
  • Built and deployed production LLM-powered systems (tool use, RAG pipelines, multi-step agents, human-in-the-loop, etc).
  • Strong technical foundations in Python/TypeScript, cloud deployment (AWS/GCP/Azure) and DevOps tooling.
  • Prior startup or founding engineer experience, balancing craft, ownership, and speed.

We're working against an incredibly ambitious mission. It won't be easy, but it will likely be the most fulfilling work of your career. If this excites you, let's chat, even if you don't meet all of the qualifications above.

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