About The Position

This role is for one of our clients. Join a leading AI research organization at the forefront of generative AI and contribute to the development and evaluation of advanced Large Language Models. We are seeking experienced Senior Full-Stack Software Engineers with strong production expertise across modern software ecosystems, including Python, Java, Rust, C#, C++, and TypeScript. In this role, you will build, integrate, and stress-test production-quality software that interacts with frontier AI models. You will work closely with engineering and research teams on fast-moving initiatives, rapidly adapt to new codebases and requirements, and contribute working code early in the engagement. This is a full-time role requiring 40 hours per week.

Requirements

  • 6+ years of professional software engineering experience building and shipping production systems at established technology organizations or comparable environments.
  • Strong hands-on production expertise in at least one of Python, Java, Rust, C#, or C++, along with meaningful professional experience delivering software in a second programming language or ecosystem.
  • Demonstrated full-stack engineering experience covering: Backend services and API development, Modern frontend frameworks such as React or equivalent, Database and data-model design, Cloud infrastructure and deployment, Production operations and system reliability.
  • Experience owning software systems end to end, from design and implementation through deployment, monitoring, debugging, and ongoing improvement.
  • Ability to quickly understand unfamiliar architectures, repositories, development environments, and technical requirements, then begin delivering production-quality code with minimal ramp-up.
  • Demonstrated career progression and increasing technical ownership throughout your engineering career.
  • Strong understanding of software engineering best practices, including testing, version control, code review, debugging, system design, and technical documentation.
  • Strong written and verbal communication skills, with the ability to clearly explain technical decisions, trade-offs, implementation details, and system behavior.
  • Ability to commit reliably to 40 hours per week during weekdays.

Nice To Haves

  • Experience working with AI/ML systems, LLM APIs, AI coding tools, or model evaluation workflows is advantageous.

Responsibilities

  • Build full-stack applications: Design, develop, and ship production-quality applications, backend services, APIs, and internal tools using technologies such as Python, Java, Rust, C#, C++, and TypeScript.
  • Integrate AI models: Integrate pre-release and frontier model APIs into functional software systems, including tool interfaces, evaluation frameworks, telemetry, and supporting infrastructure.
  • Develop across the stack: Work across backend services, APIs, databases, frontend applications, cloud infrastructure, and deployment environments to deliver complete solutions.
  • Test and stress-test systems: Build applications and testing frameworks that exercise model capabilities and identify performance, reliability, integration, and usability issues.
  • Identify failure modes: Diagnose technical and model-related failures encountered during development and document findings clearly for engineering and research teams.
  • Prototype rapidly: Translate evolving requirements into working software, delivering high-quality iterations with limited upfront specifications.
  • Collaborate with engineering teams: Partner with engineering managers and fellow developers to maintain strong standards for architecture, code quality, testing, documentation, and maintainability.
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