Jobgether
Senior Software Engineer, AI-Driven Systems
- Compensation
- Not disclosed
- Location
- US
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Backend engineering expertise: Strong professional experience developing, deploying, and maintaining production applications using Node.js and TypeScript, with the ability to contribute effectively fr
- Distributed systems experience: Hands-on experience building and operating distributed or event-driven architectures, including an understanding of failure modes, retries, consistency, idempotency, an
- AI-assisted software development: Demonstrated experience using AI coding tools to support substantial code migrations or modernization initiatives, such as framework upgrades, service rewrites, or pr
- Production migration experience: Previous involvement in migrating, re-platforming, or substantially restructuring live systems while maintaining service availability and managing operational risks.
- AI agent and tooling knowledge: Curiosity about agent harnesses, Model Context Protocol (MCP), and Agent-to-Agent (A2A) protocols. Production deployment of AI agents is not required, but practical exp
- Codebase analysis and debugging: Ability to navigate unfamiliar codebases and data models, identify architectural weaknesses, understand complex dependencies, and develop effective solutions.
- Software quality and testing: Strong engineering judgment and the ability to validate AI-generated code through testing, automated evaluations, code reviews, and appropriate quality controls.
- Cloud and production operations: Experience working with cloud-based systems and production services, ideally within AWS environments, with an understanding of monitoring, observability, incident mana
- Frontend familiarity: Sufficient knowledge of frontend development to trace problems from user interfaces through application services. Experience with React and Angular is beneficial.
- Workflow orchestration: Experience with a durable execution or workflow orchestration engine in any programming language is an advantage.
- AI infrastructure development: Previous work on MCP servers, agent harnesses, evaluation frameworks, multi-agent systems, or related internal tools, open-source contributions, or personal projects is
- Industry experience: Experience in InsurTech, FinTech, or another regulated industry is desirable, particularly in environments involving distributed services and complex business workflows.
- Communication and collaboration: Clear written communication skills, constructive code review practices, and the ability to collaborate effectively with cross-functional teams.
- Remote working capabilities: Comfort working independently in a fully remote, asynchronous environment, with strong ownership, accountability, and time management.
- Continuous learning mindset: A practical interest in emerging AI engineering tools and the ability to balance experimentation with production-grade reliability, maintainability, and security.
Full description
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Software Engineer, AI-Driven Systems based in the United States.
The Senior Software Engineer will help shape the next generation of a modern, AI-native insurance technology platform. In this hands-on role, you will redesign backend architecture, build durable workflows, and modernize distributed systems while maintaining the reliability of live production services. You will use AI coding agents as a core part of your daily engineering workflow, combining advanced automation with rigorous testing, code quality, and technical judgment. Working primarily with Node.js, TypeScript, and AWS, you will establish reusable engineering patterns that enable teams to deliver software faster and more consistently. You will also contribute to the development of AI infrastructure, including Model Context Protocol (MCP) tooling, automated evaluations, and agent-driven workflows. This fully remote opportunity offers the autonomy of a fast-moving technology environment, with the stability and resources of an established global insurance organization.
Accountabilities:
- Design and develop durable backend workflows: Architect and implement reliable services that replace existing event-driven processes, defining clear service boundaries, state ownership, idempotency, retry strategies, and workflow orchestration.
- Write and ship production code: Develop, review, test, and deploy high-quality Node.js and TypeScript code daily, using AI coding agents such as Claude Code as primary engineering partners.
- Lead AI-assisted development: Apply agentic coding tools to complex engineering challenges by establishing the right context, breaking down tasks, guiding execution, and carefully validating generated code.
- Establish reusable engineering standards: Create reference architectures, service templates, shared libraries, and code generators that standardize implementation practices across the evolving platform.
- Drive large-scale system modernization: Plan and execute incremental migrations, framework upgrades, service rewrites, and architectural improvements while maintaining production continuity and implementing thoroughly tested rollback strategies.
- Build AI engineering infrastructure: Develop and maintain MCP servers, agent tooling, evaluation scripts, automated checks, and supporting infrastructure to ensure AI-generated code meets the same quality, security, and reliability standards as manually written code.
- Ensure production reliability: Instrument services with metrics, alerts, dashboards, and distributed tracing, monitor system health, investigate failures, and take end-to-end ownership of production incidents and their resolution.