Sourcebae

About the Company

Sourcebae is an AI-driven recruitment engine designed to hire top global talent. With its end-to-end hiring model--sourcing, vetting, hiring, and managing--Sourcebae is the ultimate AI-powered, all-in-one hiring platform for businesses of all sizes.

Our product includes-
AI interviewer
Global talent pool
Management and compliances
Global capability centre

Why Choose Sourcebae?

1) Efficient AI interview process: Sourcebae revolutionizes the interview process with AI interviewer, ensuring a smooth and efficient experience for both candidates and hiring teams. Its agile approach saves time and streamlines every stage of recruitment.

2) Time and cost effective: Sourcebae automates the interview and hiring process, significantly reducing the time and resources required which means you can:
Interview 100X more candidates in the same timeframe.
Cut time-to-hire by 50%, helping you onboard talent faster.

3) In-depth candidate evaluation: Sourcebae offers real-time in-depth candidate evaluation, providing comprehensive insights into candidates' technical competencies for informed hiring decisions.

4) Pre-vetted global talent pool: Access a pool of 200,000 pre-vetted developers and professionals from across the globe, connecting you with top talent for tech and non-tech roles.

5) Compliance and management made easy: Sourcebae takes care of all compliance and management needs, ensuring smooth onboarding and adherence to global hiring standards.

Listed Jobs

Company Name

Sourcebae

Job Title

LLM - Full Stack Python + JS

Job Description

**Job Title:** LLM – Full‑Stack Python + JavaScript Engineer **Role Summary:** Develop and maintain production‑grade code for large language model (LLM) pipelines, design evaluation tasks, and create reproducible development environments. Collaborate with engineers, researchers, and quality owners to ensure high‑quality data, rigorous testing, and continuous improvement of model reliability. **Expectations:** - Deliver clean, well‑documented code in Python, JavaScript/Node.js, and TypeScript. - Maintain availability to overlap with 8 am–12 pm PT for team coordination. - Uphold precision and thoroughness; identify and resolve subtle model failures. - Contribute to shared standards, code reviews, and quality‑assurance processes. **Key Responsibilities:** - Write, review, debug, and refactor code across multiple languages. - Design and implement coding, reasoning, and debugging evaluation scenarios. - Investigate LLM outputs to detect hallucinations, regressions, and failure modes. - Build and maintain reproducible Docker‑based development environments and automation scripts. - Develop pipelines, tools, and scripts for data generation, scoring, and validation. - Produce structured annotations and high‑quality datasets for model training. - Execute systematic evaluations to improve model reliability and reasoning. **Required Skills:** - 6–7 years professional experience in software development. - Strong proficiency in Python and JavaScript/Node.js; TypeScript experience required. - Hands‑on experience with LLM coding assistants (e.g., Cursor, GitHub Copilot, Amazon CodeWhisperer). - Proficiency with Linux, Bash scripting, and automation. - Advanced Docker expertise and ability to create reproducible dev containers. - Expert Git usage (branching, diff/patch creation, conflict resolution). - Solid understanding of testing methodologies (unit, integration, edge‑case testing). - Ability to design and run systematic evaluations for LLM performance. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). - No specific certifications required; demonstrated expertise through work experience is essential.

Île-de-france, France

On site

Mid level

22-12-2025