Senior Software Engineer, AI Platform

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $180k - $200k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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KINETIC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🛡️ Insurance

☁️ SaaS

🔧 Hardware

💰 $11.3M Series A on 2020-12

Insurance • SaaS • Hardware

Kinetic is a technology-driven workers' compensation insurer that provides coverage and claims management for frontline industries. Kinetic combines an injury management platform, return-to-work claims management, dedicated claims teams, and safety technology (Reflex wearable devices) to reduce claim costs, speed recovery, and improve workplace safety. It serves policyholders, brokers, and self-insured businesses—particularly in parcel delivery, transportation, janitorial, hospitality, manufacturing, and warehousing—offering real-time claims intelligence, industry-specific pricing, and broker-friendly submission processes.

📋 Description

• Build and operate Kinetic's agent orchestration layer, including model routing, tools, memory, permissions, and guardrails • Ship prompts, tools, and model versions through CI/CD with cost and latency tracking and rollback capability • Build MCP servers and tools providing secure agent access to Salesforce, Athena, and claims data • Implement PHI and PII redaction and full audit logs • Build evaluation harnesses and rollout gates using golden datasets before production release • Build human-in-the-loop checkpoints for critical decisions • Replatform or retire one-off AI scripts and workflows • Set standards and review agent designs and code • Mentor engineers building agents across Kinetic • Evaluate when to use AI and when to buy versus build systems and components • Write production code daily and set technical direction for agent infrastructure • Partner with product and platform development teams • Report to the Tech Lead - Data & AI

🎯 Requirements

• Bachelor's degree in Computer Science or a related field • 6+ years of software engineering experience • 2+ years building LLM-powered systems in production • Strong Python on serverless, with AWS preferred • Experience with 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 • Experience with tool calling, structured outputs, RAG, and MCP • Experience building evaluation and observability for LLM systems, including golden datasets, automated graders, and tracing • Ability to explain probabilistic systems to business partners • Candidates must reside within the US • Existing authorization to work in the United States • Successful completion of identity and background verification • Nice-to-have: experience at an insurtech, MGA, carrier, healthcare, financial services, or other regulated industry • Nice-to-have: experience handling sensitive data under HIPAA, SOC 2, or similar requirements • Nice-to-have: experience with Salesforce, Athena, multi-model cost optimization, OpenTelemetry, startups, or high-growth environments

🏖️ Benefits

• 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 • Domestic travel for company offsites and team alignment

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