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Role : LLM - Sr. SW Engineer – LLM Evaluation & Repository Validation
Type of Role : Short-term roles
YoE : 5+
Special reqs : Should have worked for at least 1 year attop-tier product or research companies as a Full Time Employee
Engagement Type : Short Term Contract ( 1 month)
Start Date : Immediate
Vetting : ICF compulsory + Technical Interview
Skills : Fullstack (Backend - Java, Rust,Go, Node, Python, C++ & Frontend - Typescript, JavaScript, JQuery, React, Vue, Angular)
Availability : Minimum of 10 hrs/week - 40hrs/week
About Us
One of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI.
Project Overview
We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. You will have the opportunity to work on a diverse range of projects from helping models traverse complex code bases to building agents that improve model performance.
Role Overview — What Does a Typical Day Look Like?
Work across multiple different projects to improve LLM performance on code: sample projects
- Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants.
- Collaborate with the team to identify edge cases and ambiguities in model behavior.
- Review and compare 3–4 model-generated code responses per task using a structured ranking system.
- Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision.
Required Skills & Experience
- Several years of software engineering experience, including 2+ continuous years 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.
- Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency.
- Excellent oral and written communication skills for clear, structured evaluation rationales.
Engagement Details
- Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required).
- Type: Contractor (no medical/paid leave).
- Duration: 1 month potential extensions based on performance and fit.
Job Type: Fixed term contract
Contract length: 1 month
Pay: £16.69-£62.41 per hour
Expected hours: 10 – 40 per week
Benefits:
Experience:
- Python: 5 years (required)
- C++: 5 years (required)
- Rust (programming language): 5 years (required)
- Full Stack Development: 5 years (required)
