Senior Software Engineer, Applied Research

Job Description

Remote Full-Time | Candidates who can work within UTC-8 to UTC+2 to align with our team.

We’re looking for an experienced Senior Software Engineer with focus on AI / ML and a research mindset to guide the most challenging aspects of our knowledge ingestion and question answering system. If you’ve tackled complex information retrieval problems, designed evaluation frameworks, and know how to navigate trade-offs between accuracy, cost, and timelines, we’d love to hear from you.

In this role, you’ll focus on experimentation and implementation for our Python-based knowledge service. You’ll design, test and implement retrieval strategies, evaluate system trustworthiness, and help define how the service handles conflicting or outdated information, among other challenges. You’ll work closely with product and engineering teams to ensure our AI / ML foundations are technically strong, reliable, and aligned with product goals.

What You’ll Do :

• Lead experimentation on retrieval-augmented generation (RAG) approaches for question answering over a Neo4j knowledge graph.
• Develop and refine evaluation frameworks (test sets, LLM-as-a-judge rubrics, failure mode analyses, etc.).
• Investigate and implement strategies for handling conflicting, incomplete, or time-sensitive information.
• Translate product requirements into ML constraints and possibilities.
• Collaborate with engineers to validate feasibility and de-risk system architecture.

Restrictions

Requirements

What We’re Looking For :

Nice to Have :

About the Company

About Meedan :

Meedan is a nonprofit focused on building digital tools and community-led programs that enhance the accessibility, reliability, and distribution of information when and where people need it most. We codesign open-source tools and programs, enabling communities—especially those that have been historically underserved—to access the information they need to organize and mobilize. We also strive to make online ecosystems safer, more inclusive, and more equitable, so that existing pathways for content production and distribution can better serve the needs of all communities, regardless of their location, language, or income.