2h ago
New
$180,000 – $200,000 per year

Senior Software Engineer, AI Platform

Remotefull-timesenior
Software EngineerSoftware Engineering
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Quick Summary

Key Responsibilities

model routing, tools, memory, permissions, and guardrails, kept portable across frameworks and model providers. Manage agents like code, with prompts, tools, and model versions shipped through CI/CD,

Requirements Summary

Health

Technical Tools
Software EngineerSoftware Engineering
About Kinetic 

We’re transforming workers’ comp with technology-driven solutions for injury prediction, prevention, and management—helping employers create safer, healthier workplaces.

Our platform is built for labor intensive industries including parcel delivery, manufacturing, and wholesale/warehousing operations. Our tech-driven program speeds up return-to-work and offers generative AI for claims management. Through these and other products and services, we're redefining what workers' comp can do.

We’re a remote-first team headquartered in New York City, growing fast—10x in the past two years—and driven by accountability, continuous improvement, and collaboration. If you're excited to build a career with impact, we’d love to meet you.

Kinetic has been named to: Business Insurance's Best Place to Work in Insurance 2025 & 2026.

About the Role

~1 min read

As a Senior Software Engineer on our AI Platform team, you'll build and enhance the platform every Kinetic AI agent runs on. We are building agents across the insurance lifecycle, from broker submissions to underwriting to claims. You'll own the orchestration layer, tools, evaluation infrastructure, and guardrails behind every agent. With that platform in place, we can release an agent safely, measure whether it improved a real business result, and quickly undo a change that doesn't work.

This is a hands-on, senior individual contributor role. You'll write production code every day, set technical direction for agent infrastructure, and partner with our product and platform development teams as they build on this AI platform. You'll report to our Tech Lead - Data & AI.

Responsibilities

~1 min read

  • →Build and operate Kinetic's agent orchestration layer: model routing, tools, memory, permissions, and guardrails, kept portable across frameworks and model providers.
  • →Manage agents like code, with prompts, tools, and model versions shipped through CI/CD, tracked for cost and latency, and easy to roll back.
  • →Build MCP servers and other tools that give agents secure access to Salesforce, Athena, and claims data, with PHI and PII redaction and full audit logs.
  • →Build the evaluation harness and rollout gates that test every change against golden datasets before it reaches production.
  • →Build human-in-the-loop checkpoints for critical decisions that always need a person.
  • →Replatform or retire the one-off AI scripts and workflows already in use.
  • →Set standards, review agent designs and code, and mentor engineers building agents across Kinetic.
  • →Evaluate when to use or not use AI, and when to buy vs. build new systems and components.

  • Bachelor's degree in Computer Science or a related field, and 6+ years of software engineering experience.
  • 2+ years building LLM-powered systems in production, not just demos.
  • Strong Python on serverless (AWS preferred), plus infrastructure as code and CI/CD.
  • Hands-on experience building multi-agent systems with CrewAI or other agent frameworks such as LangGraph, OpenAI Agents SDK, Google ADK, or AWS Bedrock AgentCore, including tool calling, structured outputs, RAG, and MCP.
  • Built evaluation and observability for LLM systems, such as golden datasets, automated graders, and tracing.
  • Clear communicator who can explain probabilistic systems to business partners.

Nice to Have

~1 min read

  • Experience at an insurtech, MGA, or carrier, or in another regulated industry such as healthcare or financial services, ideally with workers' compensation, underwriting, or claims workflows.
  • Shipped systems that handle sensitive data under HIPAA, SOC 2, or similar requirements.
  • Experience with Salesforce, data lakes such as Athena, and multi-model cost optimization.
  • Experience with OpenTelemetry or similar tracing for LLM systems.
  • Experience in startups or high-growth environments, building from scratch.

What we offer
  • Fully distributed, remote team across all continental US time zones
  • Medical, dental, and vision insurance
  • 20 vacation days per year
  • 9 federal holidays off 
  • Parental Leave
  • Pre-tax 401k contribution
  • HSA with compatible health plans
  • FREE: Health Advocate
  • FREE: Telehealth Membership
  • FREE: OneMedical Account

Note
Candidates must reside within the US with existing authorization to work in the United States. This role requires domestic travel for company offsites and team alignment. Verification of government-issued identity and employment eligibility will be conducted in person prior to employment.

Security Notice: Kinetic is committed to a secure hiring process. All offers of employment are contingent upon successful completion of a comprehensive identity and background verification process. We will never ask for financial information or payment during the application process.

What We Offer

~1 min read
The base pay range for this role is $180,000 – $200,000 per year.

Location & Eligibility

Where is the job
Worldwide
Fully remote, anywhere in the world
Who can apply
US

About this job

Pay per year
$180,000–$200,000 a year
1% below the $191,682 median for Software Engineer jobs on Jobera (6,303 salaries).
Who can apply
United States
Posted
Today
Employer
has 4 open jobs on Jobera.

Listing Details

Posted
October 26, 2026
First seen
October 26, 2026
Last seen
October 26, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
77%
Scored at
October 26, 2026

Signal breakdown

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Senior Software Engineer, AI Platform$180,000 – $200,000 per year