Applied AI Engineer

Mission Underwriting Managers, LLC; United States; Remote; USD 120,000 - 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 an enterprise AI platform. You will build production-ready AI applications, integrate LLMs and AI agents, and enable AI-powered experiences across underwriting, operations, and finance.

The role emphasizes secure, scalable AI solutions and governance. You will collaborate with technology and business teams to deliver robust AI capabilities, leveraging clouds, databases, and modern AI tooling.

Qualifications

• 3+ years software/AI engineering, with at least 2 years delivering production AI solutions.
• Hands-on experience building enterprise apps using LLMs, memory management, AI agents, prompt engineering, and orchestration.
• Experience deploying AI features with cloud-native tech.
• Experience integrating AI with enterprise systems via REST APIs, event-driven architectures, vector databases, and knowledge repositories.
• Familiarity with modern AI/orchestration frameworks.
• Experience implementing AI evaluation, monitoring, observability, and testing frameworks.
• Understanding of Responsible AI, security, governance, and compliance.
• Experience with Git/GitHub, CI/CD, IaC, and DevOps/MLOps for AI apps.
• Experience with Databricks, SQL Server, or other enterprise data platforms.
• Experience with AWS/Azure/GCP.
• Bachelor's degree in CS/SE or equivalent practical experience.

Responsibilities

• Design, develop, and deploy production-grade AI solutions using LLMs, AI agents, memory management, and ML techniques.
• Build intelligent workflows and AI-powered apps to automate business processes across enterprise functions.
• Develop and maintain scalable AI services using cloud-native architectures.
• Integrate AI with enterprise platforms like policy administration, data platforms, and document management.
• Design prompt engineering, orchestration frameworks, vector databases, and knowledge retrieval solutions.
• Evaluate, fine-tune, and optimize foundation models for accuracy, latency, and cost.
• Develop automated testing and monitoring to measure AI quality and system performance.
• Implement AI guardrails, governance standards, and responsible AI practices.
• Collaborate with product owners and engineers to translate requirements into AI solutions.
• Build AI models from providers like Anthropic and OpenAI to solve business problems.
• Use tools like GitHub Copilot, Claude Code, Codex to plan and build.
• Build reusable AI components, SDKs, and engineering frameworks.
• Use databases like MongoDB and Databricks to store and process data.
• Optimize AI infrastructure and orchestration for high availability and efficiency.
• Stay current with emerging AI tech and propose new capabilities for Mission's AI strategy.
• Support production AI systems with monitoring and troubleshooting.

Skills

AI engineering

LLMs

Prompt engineering

AI agents

Orchestration frameworks

Cloud-native architectures

AI memory management

Knowledge retrieval

Monitoring/observability

Security/governance in AI

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

Databricks

SQL Server

Git/GitHub

CI/CD pipelines

Infrastructure as Code

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.