Full-Stack Engineer - Hamilton

Outlier Ai; Hamilton (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Outlier Ai in the United States (Ohio) is seeking a backend engineer focused on AI automation to build and integrate complex systems in production. You will work on parsing, logic, and reporting services, collaborating to deploy multi-step agent workflows with attention to security and privacy considerations.

Strong coding skills in Python/JavaScript/Go/Java and SQL are essential, as is experience with live environments.

Qualifications

• At least 2 years in backend engineering, AI automation, or integrating complex systems.
• Fluent in two major programming languages (Python, JavaScript, Go, or Java) with SQL experience.
• Experience developing for live environments and multi-step system interactions.

Responsibilities

• We help train advanced generative systems by providing human feedback that improves AI agents.
• Contribute to projects teaching language models to act as proactive, multi-step agents.
• Support design, coordination, and optimization of complex real-world architectural workflows.
• Evaluate system behavior in live environments and provide detailed feedback on multi-turn interactions.
• Identify weaknesses in agent workflows, including security, privacy, and prompt-injection risks.
• Collaborate to strengthen orchestration, automation, and reasoning across agentic systems.

Skills

Backend engineering

AI automation

System integration

Two programming languages

Live environment experience

Attention to detail

Tools

Supabase

Gmail

Job description

Salary: $90,000 - 130,000 per year

Requirements

• We bring at least 2 years of experience in backend engineering, AI automation, or integrating complex systems.
• We have a strong track record of building and supporting production-ready software with clear modular design, such as separate services for parsing, logic, and reporting.
• We are fluent in at least two major programming languages, such as Python, JavaScript, Go, or Java, and we have hands-on experience with SQL databases.
• We have experience developing for live, non-simulated environments and managing multi-step system interactions.
• We demonstrate exceptional attention to detail and can deliver concise, high-signal technical feedback on intricate system behavior.
• We bring experience with multi-stage coordination workflows where data gathering informs structured, reasoned outcomes.
• We are comfortable connecting agents to live tools and APIs such as Supabase and Gmail to solve practical problems.
• We have experience implementing persistent state and session tracking using MEMORY.md or similar methods.
• We can identify subtle issues such as privacy exposure, authority escalation, and indirect prompt injection.

Responsibilities

• We help train advanced generative systems by providing human feedback that improves AI agents.
• We contribute to projects that teach large language models to act as proactive, multi-step agents.
• We support the design, coordination, and optimization of complex real-world architectural workflows.
• We evaluate system behavior in live environments and provide detailed feedback on how well multi-turn interactions perform.
• We help identify weaknesses in agent workflows, including security, privacy, and prompt-injection risks.
• We collaborate with our team to strengthen orchestration, automation, and reasoning capabilities across agentic systems.

Technologies

• AI
• Backend
• Support
• Java
• JavaScript
• Python
• SQL
• Security
• Fullstack

More

We are a company focused on improving the worlds most innovative AI agents through human feedback and advanced training projects. We partner with leading AI organizations to help large language models become proactive, multi-step systems capable of handling complex real-world workflows. We are looking for experienced builders and orchestration-minded professionals who want to help shape the future of autonomous agents. Our work is centered on high-impact AI development, with opportunities to contribute to challenging systems that require precision, technical depth, and careful analysis.

last updated 40 week of 2026