AI Engineer / Tech Lead

🚀 We’re Hiring: AI Engineer / Tech Lead (Remote | Full‑Time | SaaS | AI‑Native Platform)

Company: FieldFlo, USA

Industry: Construction • Environmental Services • Demolition • SaaS • AI

FieldFlo is a fast‑growing, mobile‑first SaaS platform built for the construction, demolition, and environmental services industries. Teams across the U.S. rely on us daily for compliance, safety, time tracking, training, and seamless field operations. We’re backed by industry veterans and growing fast — this is your chance to directly influence a platform that keeps workers safe and projects running smoothly.

🌟 Role Summary: AI Engineer / Tech Lead

This is a hands-on, code-every-day role with technical leadership responsibilities - not the other way around. You’ll spend the majority of your time building: designing and shipping AI-powered features, writing production code, and solving hard engineering problems. The leadership part means you also guide architecture decisions, mentor developers through pull requests and pairing, and raise the bar for the whole team - by example. You’ll join our distributed engineering team to help scale FieldFlo as an AI-native platform. That means building LLM-powered capabilities, RAG-based search, and agent-driven workflows - but also knowing when a custom ML model is the better fit. Not every problem is an LLM problem, and we want someone who can reach for the right tool. You’ll work across the full stack as needed, using our existing codebase (PHP/CodeIgniter) and deploying on AWS.

💡 What You’ll Work On

Build AI Features (Primary Focus)

• Design and implement AI-powered product features end-to-end - LLM-based when it fits, custom ML models when it doesn’t. You choose the right approach for the problem.
• Build RAG pipelines, vector search, and AI-powered workflows for compliance, training, and field operations.
• Train, evaluate, and deploy custom models for problems where an LLM is overkill or a poor fit (e.g., classification, anomaly detection, structured prediction).
• Develop agent-ready APIs and integrations (e.g., MCP) to enable autonomous product behavior.
• Own prompt engineering with versioning, evaluation, and quality control - not just experimentation, but production-grade management.
• Use and integrate AI-assisted tools across the development lifecycle for coding, testing, and code review.

Lead by Doing

• Guide architecture decisions through implementation, not just diagrams - you propose it, you build the first version.
• Conduct thorough code reviews that teach, not just gatekeep.
• Mentor developers by pairing on hard problems and demonstrating best practices in your own code.
• Collaborate in sprint planning, feature scoping, and cross-functional design discussions as a technical point of contact.
• Drive engineering standards and quality - but through working code and team buy-in, not mandates.

Full-Stack Engineering

• Design, build, and maintain scalable web applications using modern web technologies.
• Write efficient SQL queries against MySQL/Postgres and NoSQL databases. You own query performance and schema design - DevOps owns the infrastructure.
• Work within AWS-hosted, containerized environments (Docker, Kubernetes) - you don’t manage the infra, but you understand how your code runs in production.
• Contribute to frontend development using HTML, CSS, JavaScript, and modern frameworks.

🔧 Must‑Have Qualifications

• Shipped real AI features to production using both LLMs (RAG, agents, prompt engineering) and traditional ML.
• Built and debugged RAG systems, vector search, and AI evaluation/feedback loops.
• Strong at validating AI‑generated code and using AI coding tools daily.
• 5+ years as a Full‑Stack Engineer with leadership experience in architecture, mentoring, and code reviews.
• Strong SQL skills and comfortable with AWS environments.
• Proficient in HTML/CSS/JS and modern frontend frameworks; familiar with Docker/Kubernetes.
• Excellent English communication; proactive and independent in remote teams.

💼 What We Offer

• Full-time remote (with at least 2h overlap with US Mountain Time)
• B2B contract
• Paid national holidays (based on your country)
• Optional unpaid personal time off
• 3‑month probation
• High-impact role shaping the future of an AI-native SaaS platform

📣 Recruitment Process

1. Initial call with Recruiting Agency HC Solutions
2. Technical panel interview (Senior Engineer + Tech Lead)
3. Interview with AI Labs team
4. Final interview with VP Engineering & CTO