Coalition, Inc.

Cybersecurity

SeniorSoftwareEngineer,AIPlatform&Agents

$175–250k ~AI est. United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer, AI Platform & Agents at Coalition, Inc.. Skills: AI Platform Engineering, Agentic workflows, RAG pipelines. Build core infrastructure. Maintain core infrastructure”

What You'll Achieve.

Accelerate deployment of Agents; Accelerate deployment of RAG pipelines; Automate sophisticated workflows; Deliver smarter AI-driven products; Provide exceptional developer experience

Industry & Context.

Cybersecurity
Problems you'll solve

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

Leverage Agentic workflows

Partner with Applied Scientists

Partner with Data Scientists

Translate experimental models

Deploy production-grade AI services

Design data pipelines

Ensure high-quality data retrieval

Ensure real-time data retrieval

Act as technical consultant

Facilitate engineering teams

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; 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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