- 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.
- Important context: We balance quality and speed: We love rapid prototyping but our code goes into production in customer environments. You need to enjoy balancing elegance with expediency.
Requirements
- Strong engineering fundamentals: 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 LangChain, LlamaIndex, 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, GitHub 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 contribute to building 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.
Core Competencies
Demonstrates expertise in designing and building production-ready AI applications, leveraging Large Language Models and coding assistants to deliver scalable solutions. Strong customer-facing skills and a collaborative mindset are essential for navigating technical requirements and fostering a culture of continuous learning.
Highest-signal resume keywords
- Large Language Models Experience
- Production-Ready Software Development
- AI Tools Proficiency
- Customer-Facing Skills
- Problem-Solving Mindset
ATS Optimization Keywords
Hard Skills
- Production-Ready Software Development
- Large Language Models
- Coding Assistants
- Multiple Programming Languages
- AI Application Development
Soft Skills
- Problem-Solving Mindset
- Collaborative Approach
- Customer Engagement
Industry Keywords
- AI Applications
- Software Development Lifecycle
- Rapid Prototyping
- Engineering Culture
- Startup Mentality
Tools & Technologies
- LangChain
- LlamaIndex
- Claude Code
- Codex
- GitHub Copilot
- Cursor