Forward Deployed AI Engineer
Listed on 2026-10-20
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Software Development
AI Engineer (Applied/Software), Full Stack Developer, Software Engineer
At HTEC, customers come to us with business problems they want to solve through AI: increasing revenue, reducing cost, transforming customer service, and modernizing how they build software or run operations. Your job is to turn these problems into robust AI solutions that deliver business value.
As a Forward Deployed AI Engineer , you'll play a leading role in building and shipping AI solutions for our customers. That might mean designing custom AI applications, embedding AI across a customer's software development lifecycle, or building enterprise systems faster and differently with the new generation of AI tooling. Whichever shape the work takes, you'll own it from understanding the customer's need to deploying in their environment.
you'll do Design and build what the customer needs:
Depending on the engagement, you'll design and develop custom AI applications, embed AI across a customer's SDLC, or build enterprise systems using AI tools that change how software is made. In every case, you're shipping production-ready work that integrates with the customer's environment and scales with their use cases.
Deliver solutions:
Work across the full project lifecycle — understanding the requirements and system design and translating them into production grade solutions using AI tools for coding, testing, deployment, and support.
Collaborate directly with customers:
Partner with customer engineering teams to understand technical constraints, gather requirements, and problem-solve together. You'll join customer calls to discuss tradeoffs, progress, and technical feasibility.
Work with world-class engineering teams:
Collaborate with other HTEC engineers on projects, contributing your expertise and learning from others as you tackle complex AI challenges together.
Shape our engineering culture:
Help define how we build, how we learn, and how we work together as we scale our engineering team.
You write exceptional code and deeply care about the craft. You have 5+ years of experience building elegant, production-ready software across multiple programming languages.
Experience with Large Language Models:
Track record building scalable applications with LLMs, using frameworks like Lang Chain, Llama Index, or similar tools. You understand the practical challenges of deploying AI in production.
Proficiency with coding assistants:
You are a builder and you know where and how to leverage AI tools like Claude Code, Codex, Git Hub Copilot, Cursor and more.
Problem-solving mindset:
You love solving hard, new problems. You're comfortable in self-teaching, asking "why," and experimenting to tackle challenges you haven't seen before.
Customer-facing skills:
You can navigate customer conversations skillfully, understand their needs deeply, and translate those into technical solutions that actually work.
Startup mentality:
You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to build something exceptional.
Collaborative approach:
You're comfortable helping others and asking for help. You value integrity and want to build a culture of continuous learning. What to expect
In your first few months:
You'll work on customer projects — building AI customer service agents, content moderation systems, intelligent automation — each project different from the last. With your second project, you'll have shipped LLM applications across more companies and use cases than most AI engineers.
The opportunity:
You'll have a front-row seat to how leading companies actually deploy AI solutions. You'll work across different industries, customers, and technical challenges, learning something new every day.
The team:
Work with senior…
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