Applied AI Engineer

Mission Underwriters; Northern (KY); Hybrid; USD 110,000 - 180,000; Full time

Benefits offered by this job

401K, 401K Match

Life and Disability Benefits

11 Paid Holidays

Employee Discounts

Employee Assistance Program

Educational Assistance Program

Employee Referral Program

Job summary

Mission Underwriters is seeking an Applied AI Engineer to design, implement, and scale our enterprise AI platform, focusing on production-grade AI apps, agentic workflows, and LLM integrations across underwriting, operations, finance, and HR. This hands-on role emphasizes secure, scalable AI solutions and governance in a fast-paced environment.

You will collaborate with product and engineering teams, apply guardrails, and stay current with AI trends while supporting a remote-friendly operation

Qualifications

• 3+ years in software or AI engineering with production AI experience.
• Hands-on with LLMs, memory/context management, agents, and orchestration frameworks.
• Experience deploying AI features in cloud-native environments.
• Integrations with REST, event-driven architectures, and knowledge repos.
• Familiar with AI evaluation, monitoring, and testing frameworks.
• Understanding of Responsible AI and governance practices.

Responsibilities

• Design, develop, and deploy production-grade AI solutions using LLMs and agents.
• Build intelligent workflows automating underwriting, operations, finance, and HR processes.
• Develop scalable AI services with modern cloud-native architectures.
• Integrate AI with policy administration, data platforms, and document systems.
• Implement prompt engineering, orchestration, and knowledge retrieval solutions.
• Evaluate and optimize foundation models for performance and cost.
• Establish testing, monitoring, and governance for AI quality and safety.
• Collaborate with product and engineering teams to translate requirements.
• Build AI components and SDKs to accelerate enterprise capabilities.
• Stay current with AI tech and propose enhancements to Mission's strategy.

Skills

LLMs

AI engineering

APIs

AI agents

Prompt engineering

CI/CD

DevOps/MLOps

Cross-team collaboration

Education

Bachelor's degree in CS/SE

Tools

Git

GitHub

CI/CD tooling

Databricks

MongoDB

Vector databases

Job description

At Mission Underwriters, we provide the capital, issuing paper, and reinsurance access you need to launch your own Program Administrator (PA) business quickly and efficiently. We offer non-recourse capital for qualified underwriters, giving you a manageable risk profile with potential equity upside. By taking care of administrative complexities like compliance, risk management, accounting, and HR, we free you to focus on what you do best underwriting and distribution. Our turnkey platform gets you into the market in just a few months, minimizing disruption to your key relationships. With access to our network of highly rated issuing carriers and reinsurance partners, you can secure coverage with less stress and uncertainty. Built from the ground up, our purpose-driven technology simplifies workflows, enhances responsiveness, and eliminates the burden of outdated legacy systems.

What We Offer:

• 401K, 401K Match
• Life and Disability Benefits
• 11 Paid Holidays
• Employee Discounts
• Employee Assistance Program
• Educational Assistance Program
• Employee Referral Program

About the role

Applied AI Engineer will play a key role in designing, implementing, and scaling Mission's enterprise AI platform and intelligent automation capabilities as part of our AI transformation strategy. This hands‑on engineering role will focus on building production‑ready AI applications, developing agentic workflows, integrating large language models (LLMs) and machine learning services, and enabling AI‑powered experiences across underwriting, operations, finance, HR and other business functions. The ideal candidate will collaborate across technology and business teams to develop secure, scalable, and reusable AI solutions while establishing best practices for AI engineering, governance, and operational excellence. This role is highly technical and execution-focused, making it ideal for an AI engineer who thrives in a fast‑paced environment and is passionate about applying generative AI, automation, and modern AI engineering practices to solve complex business challenges at scale.

Essential Duties/Functions:

• Design, develop, and deploy production-grade AI solutions using large language models (LLMs), AI agents, latest memory and context management patterns, and machine learning techniques.
• Build intelligent workflows and AI-powered applications that automate business processes across underwriting, operations, finance, and other enterprise functions.
• Develop and maintain scalable AI services using modern cloud-native architectures.
• Integrate AI capabilities with enterprise platforms including policy administration, submission management, data platforms, document management, and external data providers.
• Design and implement prompt engineering, orchestration frameworks, vector databases, and knowledge retrieval solutions to improve AI performance and reliability.
• Evaluate, fine‑tune, and optimize foundation models and AI workflows for accuracy, latency, scalability, and cost efficiency.
• Develop evaluation frameworks, automated testing, and monitoring capabilities to measure AI quality, hallucination rates, response accuracy, and overall system performance.
• Implement AI guardrails, security controls, governance standards, and responsible AI practices to ensure compliant and trustworthy AI solutions.
• Collaborate with product owners, business stakeholders, business analysts, and engineers to translate business requirements into scalable AI solutions.
• Build solutions including AI models from providers such as Anthropic and OpenAI to solve intelligence problems, automate and streamline processes for the business.
• Leverage development augmentation tools such as GitHub Copilot, Claude Code, Codex, and others to learn, plan, design, and build effectively.
• Build reusable AI components, SDKs, and engineering frameworks that enable rapid delivery of enterprise capabilities.
• Use databases such as MongoDB and Databricks to store and process data.
• Optimize AI infrastructure, inference pipelines, and orchestration workflows for high availability, resilience, and operational efficiency.
• Stay current with emerging AI technologies, frameworks, and best practices, recommending new capabilities that can enhance Mission's AI strategy.
• Support production AI systems by monitoring performance, troubleshooting issues, and continuously improving solution quality and business outcomes.

Required Qualifications:

• 3+ years of experience in software engineering, AI engineering, machine learning, or a related technical field, with at least 2 years designing and delivering production AI solutions.
• Hands‑on experience building enterprise applications using Large Language Models (LLMs), AI memory and context management, AI agents, prompt engineering, and orchestration frameworks.
• Experience with deploying applied AI features and related cloud-native technologies.
• Experience integrating AI solutions with enterprise systems using REST APIs, event‑driven architectures, vector databases, and knowledge repositories.
• Familiarity with modern AI or orchestration frameworks.
• Experience implementing AI evaluation, monitoring, observability, and testing frameworks to measure model quality, reliability, latency, and cost.
• Understanding of Responsible AI principles, security, governance, prompt safety, model access controls, and enterprise AI compliance.
• Experience with Git, GitLab/GitHub, CI/CD pipelines, Infrastructure as Code, and DevOps/MLOps practices for deploying AI applications.
• Experience working with Databricks, SQL Server, or other enterprise data platforms.
• Experience with modern cloud environments such as AWS, Azure, or Google Cloud Platform
• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• Demonstrated ability to translate complex business problems into scalable, secure, and production-ready AI solutions while collaborating effectively with cross‑functional teams.

Preferred Qualifications:

• Experience developing AI solutions for the property & casualty insurance industry, including underwriting, submissions, or policy administration.
• Experience with Model Context Protocol (MCP), enterprise AI agents, multi‑agent systems, vector databases, and modern AI engineering platforms
• Strong communication skills and ability to work cross‑functionally with different departments
• Ability to travel up to 10% of the year.

Working Conditions:

• Requires a quiet work environment with regular sitting at a computer for extended periods of time.
• Regular use of hands and fingers.
• Frequent talking or hearing.
• Vision requirements: Close, distance, color, peripheral, focus and depth perception.

Additional Information

This is a remote position. Planned, in‑office activities may be required on occasion (typically 2-4x per year).

You must live in the United States and be authorized to work in the United States without requirement of employment sponsorship/visa.