Nexa

About the Company

Nexa is your AI Recruiting Companion. A voice-first engine that understands how people work, learns how your team succeeds, and connects the two when the match is real. Nexa helps teams: • Hire faster • Improve candidate alignment • Maintain consistent screening • Reduce operational load • Keep pipelines structured and calm Nexa helps candidates: • Feel understood • Get matched with roles that fit their direction • Avoid repetitive introductions • Move through hiring with clarity Nexa is recruiting — reimagined.

Listed Jobs

Company Name

Nexa

Job Title

Founding Software Engineer (Insurtech - £100-£150k + stock)

Job Description

**Job Title**: Founding Software Engineer (Insurtech) **Role Summary**: Full‑stack engineer responsible for building and scaling an AI‑driven underwriting platform. Works on end‑to‑end feature development, AI pipeline design, and deployment for real‑time decision support used by enterprise insurers worldwide. **Expectations**: - Deliver production‑grade, customer‑facing code that influences live underwriting decisions. - Own feature ownership from concept through launch and iteration. - Apply advanced LLM techniques (RAG, semantic search, vector stores) to solve complex industry challenges. - Collaborate closely with founding team and users to prioritize roadmap and tackle pain points quickly. **Key Responsibilities**: - Design, build, and maintain agentic workflows that extract, reason, and generate high‑quality underwriting insights. - Develop LLM‑powered features end‑to‑end, including retrieval pipelines, search indices, and evaluation frameworks. - Create APIs, interfaces, and infrastructure to support AI‑driven underwriting products. - Deploy and operate services on cloud platforms (AWS, GCP, or Azure). - Participate in code reviews, continuous integration, and data‑driven testing. - Collect user feedback, translate into technical requirements, and iterate rapidly. **Required Skills**: - 5+ years in product‑focused engineering environments. - Strong experience with TypeScript, React, Node.js, and Python. - Proven background building and deploying LLM solutions: Retrieval Augmented Generation, semantic search, vector store integration. - Hands‑on expertise with cloud deployment (AWS preferred, GCP/Azure acceptable). - Knowledge of modern tooling (Next.js, Supabase) and machine‑learning pipeline components. - Ability to think system‑level, own end‑to‑end solutions, and collaborate cross‑functionally. - Self‑motivated, fast‑learning, accountable, and comfortable with high‑ownership roles. **Required Education & Certifications**: - Bachelor’s degree (or equivalent experience) in Computer Science, Software Engineering, or related field. - Certifications in cloud platforms (AWS, GCP, Azure) or AI/ML are a plus but not mandatory.

London, United kingdom

Hybrid

Mid level

29-12-2025