Accelerant
201 - 500 employees
Founded 2018
🛡️ Insurance
☁️ SaaS
🤝 B2B
💰 $150M Private Equity Round - Accelerant on 2023-06
Insurance • SaaS • B2B
Accelerant is a digital-first risk exchange and insurance platform that connects managing general agents (MGAs), underwriters, reinsurers, and institutional capital through a tech-powered, data-driven marketplace. The platform provides real-time analytics, underwriting tools, performance metrics, and operational support (actuarial, claims, regulatory) to streamline specialty insurance distribution and enable faster, more transparent capital deployment. Accelerant positions itself as a SaaS-style partner for specialty insurance firms, focused on improving efficiency, transparency, and profitable growth.
AI Platform Engineer – Global
🕒 April 1
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Accelerant
201 - 500 employees
Founded 2018
🛡️ Insurance
☁️ SaaS
🤝 B2B
💰 $150M Private Equity Round - Accelerant on 2023-06
Insurance • SaaS • B2B
Accelerant is a digital-first risk exchange and insurance platform that connects managing general agents (MGAs), underwriters, reinsurers, and institutional capital through a tech-powered, data-driven marketplace. The platform provides real-time analytics, underwriting tools, performance metrics, and operational support (actuarial, claims, regulatory) to streamline specialty insurance distribution and enable faster, more transparent capital deployment. Accelerant positions itself as a SaaS-style partner for specialty insurance firms, focused on improving efficiency, transparency, and profitable growth.
📋 Description
• Build production AI agents and services • Develop reusable AI components and workflows • Prototype and productionize AI use cases • Support development teams on AI implementations • Collaborate with Compliance and ARX PS teams • Co-own AI workflow environments (e.g., n8n) with DevOps • Contribute to AI pattern development alongside AI Platform Architect • Maintain reference implementations • Improve AI reliability and observability • Design and implement Retrieval-Augmented Generation (RAG) pipelines • Implement prompt management, versioning, and evaluation tooling • Establish AI observability, monitoring, and cost tracking practices
🎯 Requirements
• 6–8+ years software engineering experience • Production AI implementation experience • LLM integration experience • Prompt engineering expertise • Experience building agents or AI workflows • Experience with vector databases and API orchestration • Strong systems thinking
Apply NowSimilar Jobs
🕒 March 31
Power Platform Developer building and maintaining solutions with Power Platform suite, collaborating with teams to meet business objectives.
🕒 March 27
Full Stack Platform Engineer designing scalable, efficient software for cloud-based AI platform. Collaborating with teams to deliver secure solutions and improve platform functionality.
🕒 March 27
Senior/Staff Platform Engineer developing scalable architecture for a collaborative business planning platform. Leading architectural decisions and contributing to core infrastructure at Runway.
🇺🇸 United States – Remote
💵 $190k - $230k / year
⏰ Full Time
🟠 Senior
🏗️ Platform Engineer
🦅 H1B Visa Sponsor
🕒 March 27
Senior software engineer improving developer experience at Lightning Labs. Responsible for managing cloud technologies, backend services, and integrations.
🕒 March 24
Agentic Platform Engineer at OnePay building core services for large-scale fintech applications. Collaborating with cross-functional teams to innovate and deliver reliable solutions in a fast-paced environment.
🇺🇸 United States – Remote
💵 $170k - $210k / year
💰 $300M Series unknown on 2025-01
⏰ Full Time
🟠 Senior
🔴 Lead
🏗️ Platform Engineer
🦅 H1B Visa Sponsor
