Coalition, Inc.
Technology
SeniorSoftwareEngineer,AIPlatform&Agents
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, AI Platform & Agents at Coalition, Inc.. Skills: AI Platform Engineering, Agentic Workflows, RAG Pipelines, LLM Integration. Build core infrastructure. Maintain core infrastructure”
What You'll Achieve.
Accelerate deployment of Agents; Accelerate deployment of RAG pipelines; Bridge gap between LLM and applications; Turn research into tools; Automate sophisticated workflows; Deliver AI-driven products; Provide exceptional developer experience
Industry & Context.
Analyze model errors; Analyze software errors
What They're Looking For.
Must Have
5+ years software development, Expert-level API development in Python, Expert-level service development in Python, Experience with SQL, Experience with database management, Hands-on experience building RAG pipelines, Hands-on experience managing vector databases, Hands-on experience orchestrating multi-agent systems, Proven ability to communicate technical requirements, Deep understanding of horizontal scaling, Deep understanding of 12-factor application design, Deep understanding of security principles, Experience monitoring AI performance, Experience analyzing model/software errors, Proficiency in container-based development with Docker, Proficiency with source control via Git
Nice to Have
Experience with AI orchestration frameworks, Production experience with distributed architectures, Production experience with event-driven architectures, Production experience with message-driven architectures, Experience building self-service 'Platform-as-a-Product'
What You'll Do.
Build core infrastructure
Maintain core infrastructure
Translate experimental models
Design data pipelines
Ensure high-quality data retrieval
Ensure real-time data retrieval
Design public AI interfaces
Document public AI interfaces
Deploy public AI interfaces
Deliver AI applications
Develop test cases for AI models
Develop test cases for AI workflows
How You'll Work.
Team & Collaboration
Partner with Applied Scientists; Partner with Data Scientists; Work with Data Engineers; Consult with engineering teams; Collaborate with SREs; Work with QE
Communication Scope
Communicate technical requirements
Full Job Description
About us Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks. Opportunities to make an impact with bold thinking are real—and happening daily at Coalition. About the role We are hiring a Senior Software Engineer to lead the development of our internal AI platform and orchestration components, helping us accelerate the deployment of intelligent Agents and RAG pipelines across the organization. You will own the core infrastructure and SDKs that bridge the gap between raw LLM capabilities and production-grade applications, turning complex AI research and data into seamless, scalable tools for our engineering teams. Your work will directly enable us to automate sophisticated workflows and deliver smarter, AI-driven products to our users. You’ll be a key architect and builder of our internal AI platform, designing components that power various AI Agents and Retrieval-Augmented Generation (RAG) pipelines. You prioritize ensuring that complex logic branches and AI workflows are well-understood, tested, and focused on engineering excellence. You will build APIs and services that are highly intuitive to consume, ensuring our internal teams can seamlessly integrate AI capabilities into their workflows. Responsibilities AI Platform Engineering: Build and maintain the core infrastructure, services, and SDKs that empower the rest of the company to leverage LLMs and Agentic workflows. Scientific Collaboration: Partner closely with Applied Scientists and Data Scientists to translate experimental models and research into scalable, production-grade AI services. Data Strategy: Work with Data Engineers to design robust data pipelines that feed into RAG systems, ensuring high-quality, real-time data retrieval for AI context. Internal Onboarding: Act as a technic
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