Senior Software Engineer – LLM Evaluation
Senior engineer role creating and curating code datasets to train, benchmark, and evaluate large language models alongside researchers. Day to day: writing and correcting code in Python, JavaScript/React, C/C++, Java, Rust, and Go, refining AI-generated code, and building agents that automatically verify solution quality.
- Compensation
- $70K–$80K / yr
- Location
- Indiana
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Several years of software engineering experience, including 2+ years continuous full-time at a top-tier product company (e.g., Google, Stripe, Amazon, Meta, Microsoft)
- Ability to curate, write, and correct code in Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go
- Strong expertise in building full-stack applications and deploying scalable, production-grade software
- Deep understanding of software architecture, design, development, debugging, and code quality/review assessment
- Excellent oral and written communication skills for clear, structured evaluation rationales
Full description
Compensation: $70k – $80k • No equity
Role Overview
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What does day-to-day life look like?
Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, 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 that can verify the quality of the code and identify error patterns.
Hypothetize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operation maintenance) and evaluate model capabilities on them
Design verification mechanisms that can automatically verify a solution to a software engineering task.
Requirements
Several years of software engineering experience, including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research).
Strong expertise in building full-stack applications and deploying scalable, production-grade 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.