
11 - 50 employees
đĄď¸ Insurance
âď¸ SaaS
đ API
Insurance ⢠SaaS ⢠API
InsCipher is a B2B software and services company that simplifies surplus lines tax calculation, filing, and payment for insurance industry participants. It offers a SOC-2 certified SaaS platform (InsCipher ConnectÂŽ), fully-managed filing services, and developer APIs (Tax Calculator API, Tax Docs API) to help MGAs, brokers, retail agencies, and carriers automate tax compliance and reporting across U. S. states and territories.
đĽ 0 minutes ago
âˇď¸ Utah â Remote
đľ $200k - $220k / year
â° Full Time
đ Senior
đ¤ AI Engineer
đť Ghost score 0%
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11 - 50 employees
đĄď¸ Insurance
âď¸ SaaS
đ API
Insurance ⢠SaaS ⢠API
InsCipher is a B2B software and services company that simplifies surplus lines tax calculation, filing, and payment for insurance industry participants. It offers a SOC-2 certified SaaS platform (InsCipher ConnectÂŽ), fully-managed filing services, and developer APIs (Tax Calculator API, Tax Docs API) to help MGAs, brokers, retail agencies, and carriers automate tax compliance and reporting across U. S. states and territories.
⢠Define the AI engineering roadmap and architecture standards across the organization ⢠Lead build vs. buy vs. integrate decisions for AI systems and platforms ⢠Evaluate emerging tools, frameworks, and models and provide recommendations to leadership ⢠Serve as the ultimate technical escalation point for complex AI/ML system design challenges ⢠Architect AI solutions for the enterprise platform across process and underlying platform architecture layers ⢠Design systems for scale, reliability, and cost-efficiency in production environments ⢠Establish LLMOps practices, including evaluation and regression suites, cost and quality observability, versioned prompts and configurations, staged rollout and rollback, and production guardrails ⢠Ensure AI systems integrate cleanly with existing product and engineering infrastructure ⢠Partner with Product and Engineering leadership to align AI capabilities with business outcomes ⢠Coordinate cross-functional engagement while focusing on technical leadership and decision-making ⢠Guide resource allocation and engagement sequencing ⢠Translate complex technical concepts for executives and business stakeholders ⢠Challenge approaches that compromise long-term system health ⢠Champion and introduce AI-assisted coding practices and developer tooling across engineering ⢠Define standards for responsible AI development, guardrails, evaluation frameworks, and security considerations ⢠Drive continuous improvement in building and shipping AI-powered features ⢠Perform other duties as requested, directed, or assigned
⢠Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience ⢠5+ years of software engineering experience with a meaningful portion in production AI/ML or LLM/GenAI systems ⢠2+ years building production LLM/GenAI and agentic systems ⢠Fluency with AI-assisted coding tooling and judgment to set organization-wide standards, evaluations, and guardrails for AI-generated code ⢠Demonstrated track record of rebuilding an existing business process with AI at its core within an existing enterprise environment, shipped to production and owned the outcome ⢠Production experience with LLM/GenAI and agentic systems, including agent orchestration, tool calling, RAG, and structured outputs ⢠Sound judgment about appropriate and inappropriate AI use in customer-facing, research, policy binding, money movement, and compliance flows ⢠Experience making and communicating organizational build vs. buy vs. integrate decisions ⢠Proficiency in Python and the modern GenAI application stack, including agent and orchestration frameworks, model-provider SDKs, vector databases, and evaluation tooling ⢠Exceptional written and verbal communication skills ⢠Preferred: Direct evidence of legacy-process redesign with latitude to alter underlying platform architecture ⢠Preferred: Enterprise or regulated-domain experience, ideally in insurance or financial services ⢠Preferred: Technical lead or principal engineer experience with broad organizational influence ⢠Preferred: Experience working closely with product engineering teams in a dual-track agile model ⢠Preferred: Experience with AI cost management, observability, and governance frameworks
⢠Health, dental, and vision plans ⢠4 weeks of Paid Time Off ⢠10 Paid Company Holidays with 2 floating holidays ⢠401K Programs with employer match ⢠Personal assistance programs for support in a healthy personal and work life ⢠Work on cutting-edge projects that are reshaping an industry ⢠Collaborate with a team of passionate, like-minded professionals ⢠Culture that values flexibility, innovation, and personal growth ⢠10% Bonus
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