Job description
Job Description
Team: Technology – Reporting and Analytics
Salary Range: USD 175K
Location: Remote
Opportunity for Impact
Applied builds cloud software and AI-powered solutions that are reinventing how the global insurance industry operates, and we do it at a pace that keeps us ahead. What you ship here reaches thousands of agencies and brokers worldwide and sets the standard for what modern insurance technology looks like.
Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for an experienced Staff Software Engineer, Agentic AI to join our Technology – Reporting and Analytics team. They will contribute to the build-out of agentic AI capabilities across our platform. We are on an exciting journey to scale our Data and Analytics capabilities to enable better insights and to lay the foundation for AI. In this role, you will design, build, and operate autonomous and semi-autonomous AI agents that reason over our data and systems — orchestrating multi-step workflows, calling tools, and taking action, not just generating text. If you are passionate about agentic AI and excited to work on cutting-edge technologies, we want to hear from you!
At Applied, Staff engineers are strong, hands-on builders. Technical practitioners who are passionate about building, shipping, and teaching by doing.
You will have an AI-First approach to development, with a specific focus on agentic systems. Areas of development include
What You’ll Do
Agentic AI Systems
Design, build, and run autonomous and semi-autonomous agents that plan, use tools, and take multi-step action over our data and platform
Architect agent orchestration patterns (planning, memory, tool-use, multi-agent coordination) and select the right pattern for the problem
Build the evaluation harnesses needed to measure agent accuracy, reliability, and regressions before and after they ship
Guardrails, Observability, and Incidents
Architect, build and deploy observability, alerting, and guardrail frameworks to monitor the health, cost, and behavior of AI agents in production
Define safe failure modes and human-in-the-loop checkpoints for agents that take action on production data or systems
Respond to incidents when they occur, including agent misbehavior. Drive RCAs.
Data Foundations for Agents
Architect, build and run high volume batch/streaming data pipelines that feed agent context and retrieval
Partner across Applied teams to enforce data quality, lineage tracking, access control, and cataloging so agents can be trusted with the data they touch
SDLC
Drive the adoption of AI-driven and agent-assisted development processes
Follow and help refine engineering standards, best practices, and design patterns for building and operating agentic systems within the team
Be a reliable go-to resource on the team for complex agentic AI and data engineering problems and production incidents
Mentor and grow engineers through code reviews, design discussions, and technical guidance
Translate business requirements into sound technical designs for where agentic AI adds real value.
What We’re Looking For
5+ years in software engineering with strong impact
Computer Science degree or equivalent
Strong knowledge of software engineering principles and best practices
Hands-on builder experience (actively coding, testing, shipping at scale)
Hands-on experience building agentic AI systems in production — agent orchestration frameworks, tool-calling, planning/reasoning loops, and multi-agent coordination
Practical experience building evaluation, guardrail, and observability tooling specifically for AI agents, not just traditional data pipelines
Strong collaborator who works well across engineering and cross-functional teams
Pragmatic approach and obsessed with eliminating waste
Growth mindset with a willingness to mentor and to keep learning
Adaptability, resilience, and the ability to thrive in ambiguity with iteration
Excellent communication skills, able to meet your audience where they are and explain complex problems in a way that can be understood
Expertise across various data and software technologies — GCP BigQuery
Good understanding of Data Migration processes a plus
Bonus points if you also have:
Prior experience acting as a strategic technical partner to senior leadership across multiple teams; exposure to applying AI/ML within data platforms.
Experience with large-scale, multi-tenant SaaS data platforms (ideally in insurance or another regulated industry)
A track record of leading complex, large-scale migrations with minimal disruption
Experience building engineering culture and mentoring engineers to promotion.
Talent shows up in a lot of different ways, and we mean that. We welcome candidates from all backgrounds and experience levels, including military members and their spouses and those without a traditional degree or tech background. If this role speaks to you, apply.
Why You’ll Like Working on Team AppliedThe best work happens when smart people move fast, together. For over 40+ years, Applied has built technology that solves real problems for insurance professionals - and we’re still pushing what’s possible.
You’ll be part of our people-first culture built on trust, inclusion, and growth - where you’re supported to deliver, collaborate with teammates who care, and grow with leaders invested in your success.
How We’ll Support You
We invest in the whole person, not just the role. Our benefits and resources are built to support your health, your time, and your life outside of work:
Medical, Dental, and Vision Coverage
Holiday and Vacation Time
Health & Wellness Days
A Bonus Day for Your Birthday
Compensation Transparency
Our targeted starting base salary in the United States for this position considers a variety of factors, including depth and breadth of experience, skills and role scope. Depending on the role, team members may also be eligible for additional compensation plans (bonus and commission).
Your Security Matters: Our candidates’ personal information and online safety are top of mind. Applied communicates with candidates only via a secure @appliedsystems.com email address or through our official careers portal. Recruiters will never request payments or ask for financial account or sensitive personal information like Social Security numbers.
AI Utilization
We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, final decisions are always conducted by real humans.
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.