
201 - 500 employees
Founded 1985
âď¸ SaaS
đď¸ Government
đ¤ B2B
đ° Private equity on 2024-07
SaaS ⢠Government ⢠B2B
Brandt Information Services is a technology and services company that builds digital platforms and operational support for state agencies and organizations that manage outdoor resources. They provide software and services for licensing, registrations (including vessel and vehicle titles), reservations and rental management, merchandising and e-commerce, CRM and marketing automation, contact center support, fulfillment (print and mail), equipment/support, project management, and IT staffing. Brandt focuses on enabling agencies to simplify regulatory workflows, streamline customer engagement, handle high-volume transactions, and improve access to parks and outdoor spaces.
đĽ 18 minutes ago
đşđ¸ United States â Remote
đľ $130k - $150k / year
â° Full Time
đ Senior
đ§âđť Full-stack Engineer
đť Ghost score 0%
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201 - 500 employees
Founded 1985
âď¸ SaaS
đď¸ Government
đ¤ B2B
đ° Private equity on 2024-07
SaaS ⢠Government ⢠B2B
Brandt Information Services is a technology and services company that builds digital platforms and operational support for state agencies and organizations that manage outdoor resources. They provide software and services for licensing, registrations (including vessel and vehicle titles), reservations and rental management, merchandising and e-commerce, CRM and marketing automation, contact center support, fulfillment (print and mail), equipment/support, project management, and IT staffing. Brandt focuses on enabling agencies to simplify regulatory workflows, streamline customer engagement, handle high-volume transactions, and improve access to parks and outdoor spaces.
⢠Design, develop, and deliver complex technical solutions, including AI-enabled and agentic systems, meeting functional, performance, and security requirements ⢠Build production-grade agents and AI-powered workflows involving tool use, orchestration, retrieval, and integration with systems of record ⢠Translate loosely defined business and product requirements into technical plans and execute them ⢠Write maintainable, testable code and own components from design through production ⢠Use AI coding assistants and agentic coding tools daily and improve team AI practices ⢠Build evaluation, testing, and observability for shipped AI behavior ⢠Apply AI across discovery, requirements, build, test, release, and support, measuring impact on speed and quality ⢠Build safe interfaces, adapters, and guardrails for agents working with legacy systems ⢠Participate in code and design reviews ⢠Collaborate with product, architecture, QA, and DevOps on end-to-end delivery quality and CI/CD discipline ⢠Identify technical and AI-specific risks, including security, privacy, cost, and reliability ⢠Evaluate emerging models, tools, and techniques and recommend appropriate solutions ⢠Work across Licensing, Registrations, Reservations, and emerging product domains as priorities shift
⢠Must be US Citizen or Green Card holder ⢠7+ years of hands-on software engineering experience, including ownership of significant components or features from design through production ⢠Current highly agentic working style, with AI coding agents central to development and ability to verify their output ⢠Experience building agents, automations, or tooling such as custom agent workflows, MCP servers, or scripts chaining models and tools; side projects and internal tools count ⢠Working knowledge of tool use, orchestration, context management, and structured outputs ⢠Habit of checking AI output through tests, review, or lightweight evaluations ⢠Awareness of AI security and data-handling risks, including prompt injection, data leakage, and agent access control ⢠Strong foundation in at least one modern programming language and ability to learn others quickly ⢠Experience with RESTful APIs, service-oriented or microservice architectures, and at least one major cloud platform such as Azure, AWS, or GCP ⢠Experience with relational databases and data modeling ⢠Experience with DevOps practices and CI/CD tooling, including automated build, test, and release pipelines ⢠Experience working in or integrating with legacy and long-lived systems ⢠No specific industry background is required ⢠Nice to have: LLM-powered product features, retrieval-augmented generation, evaluations, production AI monitoring, and vector or search stores ⢠Nice to have: Docker, Kubernetes, MCP or similar standards, modern front-end framework, open-source contributions, or technical writing
⢠Health insurance, with some plans fully covered for the employee (family members can be added at a discounted rate) ⢠Vision insurance fully covered for the employee (family members can be added at a discounted rate) ⢠Dental insurance available for purchase ⢠Flexible/open paid time off (PTO) policy (available after 30 days of continuous service) ⢠Nine (9) paid holidays ⢠401(k) plan with matching company contributions ⢠Annual year-end performance bonus (3.5% target) ⢠Up to 8 weeks of paid parental leave ⢠Life insurance fully covered by the company ⢠Long-term disability insurance fully covered by the company ⢠Free Udemy account for ongoing professional development and learning ⢠In-house AI trainings provided by notable system thinkers within the organization
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