Applied AI Engineer - US

About the job

We are seeking a highly skilled and experienced engineer who can independently build and scale full-stack products while designing and deploying reliable LLM-powered systems and agent workflows in production.

What you will do

• Build & Ship AI-Powered Products

  • Design, develop, and deploy LLM-powered applications and agent-based systems in production
  • Own the full product lifecycle from concept → production → iteration across backend and frontend
  • Build scalable, maintainable systems that solve real customer problems

• Design & Operate GenAI Systems

  • Develop prompt strategies, context management (RAG, memory), and agent workflows
  • Integrate and optimize across leading LLM APIs (OpenAI, Anthropic, Gemini, open-source)
  • Continuously improve system quality, reliability, and performance

• Leverage AI-First Development Workflows

  • Use AI-assisted coding tools (e.g., Cursor, Copilot, Claude Code) to accelerate development
  • Validate, test, and safely integrate AI-generated code into production systems
  • Contribute to evolving best practices for AI-first engineering

• Ensure Quality, Reliability & Performance

  • Own testing strategy including unit, integration, and end-to-end testing
  • Define and implement evaluation frameworks for AI outputs (quality, consistency, failure modes)
  • Debug production issues and optimize for latency, cost, and scalability
  • Take full ownership of system reliability and production stability

• Collaborate & Execute in Fast-Moving Environments

  • Translate ambiguous requirements into working solutions
  • Partner with product, design, and customer-facing teams to deliver impactful features
  • Collaborate effectively with distributed and offshore engineering teams

• Advance AI & Product Capabilities (Nice to Have Contributions)

  • Build advanced agent systems (planning, orchestration, parallel execution)
  • Apply frameworks like LangChain, LangGraph, or similar where appropriate
  • Explore fine-tuning, evaluation frameworks, and benchmarking techniques
  • Contribute to intuitive, user-friendly AI-driven experiences and human-in-the-loop workflows

About you

• Bachelor’s degree in Computer Science, Engineering, or related field preferred (or equivalent hands on experience)
• 1-2 years of experience building AI-powered applications (AI agents or AI-assisted coding) and building and deploying LLM-powered applications or agents in production
• Experience integrating major LLM APIs (e.g., OpenAI, Anthropic, Gemini, open-source)
• Working knowledge of prompt design, context management (RAG, memory, tool use), and multi-step/agentic workflows
• Ability to take products from concept to production and iteration across backend and frontend systems, including working across the full engineering lifecycle
• Practical experience using tools like Claude Code, Cursor, OpenAI, Microsoft Copilot, including the ability to safely integrate AI-generated code into production (validation, CI/CD)
• Experience debugging production issues, optimizing performance (latency, cost), and building maintainable systems
• Ability to define evaluation strategies for AI outputs (quality, consistency, failure modes) and experience with AI-driven testing and reliability practices

A little more about how you like to work

• Strong collaboration across a small team, including great communication with both onshore and offshore departments and translating vague requirements into actionable systems.
• Self-motivated and proactive—you create momentum without needing direction
• A strong problem solver who can navigate ambiguity
• A builder who cares about shipping real, working products
• Comfortable with ownership, accountability, and high expectations
• Thrives outside of traditional work structures
• You own the quality of the product you build