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Applied AI Engineer
AI Tools
Tech Stack
Agent Workflow
Building agent-driven workflows, automation platforms, and LLM-integrated applications for both internal operations and client-facing venture products. Full-stack agent system ownership from prototype to production.
About the Role
Applied AI Engineer
Company: Human Agency Location: Remote (U.S. or Canada) Employment Type: Full-Time (US); Independent Contractor (Canada)
Human Agency partners with organizations to develop AI strategies that are secure, scalable, and human-centered. The company emphasizes that AI should amplify human potential, not replace it, operating with flat teams where leaders contribute hands-on work.
Primary Responsibilities
- Design and deploy AI-powered products from concept through production
- Build infrastructure supporting LLM integration and agent frameworks at scale
- Work across full technology stack (frontend, backend, infrastructure, AI integration)
- Collaborate with venture leads and clients to translate concepts into deployed solutions
- Maintain expertise in evolving AI tools and orchestration frameworks
- Explore advanced applications of agents and models as foundational infrastructure
Required Qualifications
- Production software engineering experience with maintainable, scalable systems
- Hands-on experience building with LLMs and agent frameworks using OpenAI, Anthropic, or similar platforms
- Full-stack capability across frontend, backend, databases, and infrastructure
- Demonstrated portfolio of shipped AI projects (GitHub repos, deployed products, or detailed writeups)
- Product judgment and ability to make decisions under uncertainty
- Familiarity with tools like LangChain, LlamaIndex, and vector databases
Desired Mindset
- Views current AI developments as foundational
- Ships quickly while iterating
- Thinks in systems rather than isolated features
- Balances code quality with pragmatic impact
Compensation: Competitive, based on experience; includes base salary and performance bonuses
Some travel required for client engagements and team collaboration.
Application Requirements: Resume, LinkedIn, compensation expectations, portfolio demonstrating AI work (required).