Job Description

We are seeking an exceptional Software Engineer to join our Applied AI team full-time. In this role, you will design, build, and deploy intelligent systems that move beyond research into production at scale. You’ll focus on architecting and evaluating multi-agent systems, retrieval-augmented generation (RAG) pipelines, and fine-tuned large language models—delivering AI capabilities that drive measurable business impact. 

What You Will Do:

  • Build at the frontier: Design and implement end-to-end AI systems, including multi-agent workflows, retrieval pipelines, and customized LLMs.
  • Engineer full-stack solutions: Deliver web and backend applications that seamlessly integrate AI, ensuring reliability, scalability, and strong user experience.
  • Raise the bar on evaluation: Develop rigorous truth sets, automated quality checks, and real-time monitoring pipelines to quantify performance and business outcomes.
  • Prototype rapidly: Transform research concepts into production-grade systems through fast iteration, disciplined testing, and continuous refinement.
  • Shape best practices: Contribute to internal standards for applied AI development, evaluation, and deployment at scale.

    • What You Will Need:


    Education and Experience

  • Bachelor’s degree in computer science, Engineering, or a related field
  • + years of software development experience, including + years building production-grade AI systems
  • Proven track record delivering AI agents, RAG pipelines, or fine-tuned models with measurable business impact
  • Experience designing evaluation frameworks and truth sets for applied AI quality assurance

    • Knowledge, Skills, and Abilities

  • Strong expertise in agent frameworks and LLM orchestration (API-first development, Vercel AI SDK, LangChain, etc.)
  • Deep knowledge of RAG architectures, embeddings, vector databases, and retrieval optimization strategies
  • Experience with LLM fine-tuning, prompt design, and model performance evaluation
  • Full-stack engineering skills across modern web and backend technologies
  • Familiarity with MLOps practices: CI/CD, model versioning, monitoring, and deployment at scale
  • Strong grounding in applied information retrieval and vector-based systems

    • Salary:


    $k - $k


    Reporting Relationships:


    This role reports to a senior leader (manager, director, or executive) and carries no direct reports.

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