Applied AI Engineer

Human Agency
Full-timeMid

AI Tools

AnthropicChatGPT

Tech Stack

PythonLLMLangChainLlamaIndexVector DatabasesAgent FrameworksFull-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).

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