AI Engineer

R/GA Careers Page-posted 2 months ago
New York, NY
1,001-5,000 employees
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At Addition, we are seeking a highly skilled AI Engineer to join our dynamic team. In this role, you will be at the forefront of building and deploying practical, high-impact AI solutions for some of the world's leading brands. Your work will focus on integrating cutting-edge AI services into robust, scalable applications. This is a hands-on role where you will write code, own deployments, and maintain the full lifecycle of AI-powered applications that will shape the future of AI.

  • Design and build applications by programmatically making direct, native API calls to leading AI models (e.g., OpenAI, Anthropic's Claude, Google's Gemini, and more).
  • Develop custom, robust logic to orchestrate complex sequences of AI API calls, manage state, and handle data transformation.
  • Own the end-to-end deployment of AI applications using Docker for containerization and serverless paradigms (e.g., AWS Lambda, Google Cloud Run) for scalable, cost-efficient execution.
  • Rapidly design, build, and deploy full-stack proof-of-concept applications to quickly test and validate new AI features and ideas.
  • Leverage AI-powered code generation tools to accelerate development cycles while maintaining control over the repository structure, code quality, and architectural direction.
  • Design and implement systems to curate data-driven, non-trivial contexts for LLM and agentic inference steps.
  • Use Git for all version control, effectively collaborating with the team through pull requests, code reviews, and disciplined branching strategies.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent hands-on experience.
  • Proven experience as an AI Engineer or Software Engineer with a track record of building, deploying, and maintaining applications that integrate AI/ML services.
  • Proficiency in programming languages like Python or Node.js.
  • Strong experience with web frameworks (e.g., FastAPI, Flask, Express).
  • Proficiency with Git for version control and collaborative development.
  • Hands-on experience with containerization (Docker) and serverless deployment paradigms (e.g., AWS Lambda, Google Cloud Run, Azure Functions).
  • Demonstrable experience making direct, native API calls to major LLMs (e.g., OpenAI, Anthropic's Claude, Google's Gemini) in a production or complex project setting.
  • Ability to build sophisticated, data-driven contexts for LLMs to perform complex reasoning or agentic tasks.
  • Deep understanding of API-based AI integration patterns, including prompt engineering, response parsing, and managing API keys and quotas.
  • Strong analytical and problem-solving skills, with the ability to debug complex systems that span multiple services.
  • Excellent communication skills to effectively collaborate with technical teams and stakeholders.
  • A passion for staying current with AI trends, new APIs, and best practices in building AI-powered applications.
  • Experience with front-end development technologies (e.g., React.js, Next.js) and the ability to prototype full-stack applications.
  • Familiarity with CI/CD pipelines.
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