The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.
About Accelerant
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit www.accelerant.ai.
Role SummaryThe AI Platform Engineer is a senior, hands-on technical leader responsible for building production AI agents, reusable AI components, and cross-organizational AI implementations.
This role works across squads, AI Guilds, and AI driven development initiatives to translate AI strategy into practical, scalable solutions.
Core Responsibilities- 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.
- Works in close partnership with AI Platform Architect
- Engages directly with development teams
- Provides hands-on support for AI-driven Development initiatives
- Contributes to AI standards evolution through implementation feedback
- 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
Location: Remote Flexible
Similar Jobs
Big Data
Own the technical sales motion for NVIDIA-focused enterprise AI infrastructure deals. Lead discovery, architecture, proof-of-concept design and execution, technical closes, partner and field SE enablement, troubleshooting, escalation, customer workshops, and product feedback. The role requires expertise in NVIDIA systems, storage, data platforms, Linux, parallel file environments, GPU clusters, and AI pipelines, with Bay Area availability for on-site partner or customer sessions.
Top Skills:
AWSAzureContainersGCPGpu ClustersKubernetesLinuxNasNfsNvidia Ai Data PlatformNvidia DriversNvidia FabricsNvidia NetworkingNvidia RuntimesNvidia SchedulingNvidia SystemsObject StorageParallel File SystemsPnfsSan
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Partner with R&D and engineering leaders to manage Cloud, Cellular, and AI infrastructure costs. Analyze financial results, produce management reporting, support month-end close, build forecasts, improve reporting models, develop performance KPIs, and drive annual operating plan planning. The role also involves cost optimization, financial modeling, cross-functional collaboration, and using AI tools to streamline reporting and analysis.
Top Skills:
Advanced ExcelAWSChatgptClaudeCursorDatabricksGeminiGleanGoogle SheetsIotNetSuiteSaaSWorkday Adaptive Planning
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Build and operate backend infrastructure and APIs for stablecoin-based payments, deposits, withdrawals, and transfers. Own projects from system design through production, improve distributed-system performance and reliability, collaborate with Product, Design, Infrastructure, and Compliance, and contribute to engineering quality through reviews and architectural best practices. The role requires blockchain integration experience and responsible use of generative AI.
Top Skills:
APIsAWSBaseBlockchainDistributed SystemsEthereumGCPGenerative AiGoJavaSmart ContractsSolanaStablecoins
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.
