We are looking for Senior Software Engineer – LLM Evaluation (US-based) candidates for a project delivered through the hiring partner.
What you'll do
- Create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers.
- Curate code examples, provide precise solutions, and make corrections, with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
- Work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
- Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
- Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.
- Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
- Design verification mechanisms that can automatically verify a solution to a software engineering task.
What you need
- Several years of software engineering experience (3 years or more)
- Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
- Experience building full-stack applications and deploying scalable software using modern languages and tools.
- Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
- Excellent oral and written communication skills for clear, structured evaluation rationales.
- Candidates must be based in the United States
- Completion of an AI video interview is required.
Nice to have
- Ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments.
- Graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.
Expertise
RequiredAlso useful
Also listed: communication.
Who you work with
Project and contracting process: the hiring partner. Applications continue on the provider's website.
Pay and hours
This role does not publish a rate, for 10 to 40 h/week. The work is remote.
Who can apply from where
Open to candidates in United States. With a profile, Tier1 checks your country and languages against this role and every other before you apply.