Senior Software Engineer

Brandt Information Services

. Design, develop, and deliver complex technical solutions, including AI-enabled and agentic systems, meeting functional, performance, and security requirements .

Posted 10/5/2026full-timeRemote • United StatesSenior💰 $130,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI-enabled systems, with a strong focus on building production-grade agents and workflows. Proficient in translating business requirements into technical solutions while ensuring security, performance, and quality through effective collaboration and CI/CD practices.

Highest-signal resume keywords

7+ Years Software Engineering ExperienceAI Coding Agents ProficiencyRESTful APIs and Microservices ExperienceDevOps Practices and CI/CD ToolingRelational Databases and Data Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI-Enabled Systems DevelopmentProduction-Grade Agent BuildingTool OrchestrationContext ManagementModern Programming Language ProficiencyRESTful API DevelopmentRelational Database ManagementCI/CD PracticesLegacy System Integration

Soft Skills

CollaborationProblem-SolvingTechnical Review Participation

Tools & Technologies

AzureAWSGCPDockerKubernetesMCPAI Coding AssistantsAutomated Build ToolsTesting FrameworksMonitoring Tools

Industry Keywords

AI SecurityData Handling RisksAgent Access ControlMicroservice ArchitectureEmerging Product Domains

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetes

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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