Applied AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and deliver AI-Driven Products

• Create, build, and deploy applications powered by LLMs and agent-based systems in a production environment

• Manage the entire product lifecycle from ideation → production → iteration across both backend and frontend

• Construct scalable and maintainable systems that address genuine customer needs

• Design & Operate Generative AI Systems

• Formulate prompt strategies, manage context (RAG, memory), and develop agent workflows

• Integrate and enhance functionality across leading LLM APIs (OpenAI, Anthropic, Gemini, open-source)

• Persistently enhance system quality, reliability, and performance

• Utilize AI-First Development Processes

• Employ AI-assisted coding tools (e.g., Cursor, Copilot, Claude Code) to expedite the development process

• Validate, test, and seamlessly incorporate AI-generated code into production systems

• Contribute to the development of best practices for AI-first engineering

• Ensure Quality, Reliability & Performance

• Lead the testing strategy, encompassing unit, integration, and end-to-end testing

• Establish and execute evaluation frameworks for AI outputs (quality, consistency, failure modes)

• Troubleshoot production issues and optimize for latency, cost, and scalability

• Assume complete responsibility for system reliability and production stability

• Collaborate & Execute in Dynamic Environments

• Convert ambiguous requirements into actionable solutions

• Collaborate with product, design, and customer-facing teams to deliver meaningful features

• Work effectively with distributed and offshore engineering teams

• Advance AI & Product Features (Desirable Contributions)

• Develop sophisticated agent systems (planning, orchestration, parallel execution)

• Implement frameworks like LangChain, LangGraph, or similar when appropriate

• Investigate fine-tuning, evaluation frameworks, and benchmarking methods

• Contribute to creating intuitive, user-friendly AI-driven experiences and human-in-the-loop workflows

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field preferred (or equivalent practical experience)

• 1-2 years of experience in developing AI-powered applications (AI agents or AI-assisted coding) and deploying LLM-powered applications or agents in a production setting

• Experience with major LLM APIs (e.g., OpenAI, Anthropic, Gemini, open-source)

• Proficiency in prompt design, context management (RAG, memory, tool utilization), and multi-step/agentic workflows

• Capability to transition products from concept to production and iteration across backend and frontend systems, including experience throughout the entire engineering lifecycle

• Hands-on experience with tools such as Claude Code, Cursor, OpenAI, Microsoft Copilot, including the ability to safely incorporate AI-generated code into production (validation, CI/CD)

• Experience in troubleshooting production issues, optimizing performance (latency, cost), and developing maintainable systems

• Skill in defining evaluation strategies for AI outputs (quality, consistency, failure modes) and familiarity with AI-driven testing and reliability practices

🏝️ Benefits

• Compensation includes salary, equity, and benefits

• Opportunity to tackle challenging and significant problems

• Engage in solutions that benefit the planet and all of us

• Join an exceptional team at the start of an extraordinary journey

• Hybrid-friendly work environment, with in-office presence 2-3 times a week (for those in New York, San Francisco Bay Area, and Munich)