Senior Software Developer – Agentic Application Development at Wynne Systems

, , United States -

Full Time

Start Date

Immediate

Expiry Date

28 Dec, 25

Salary

192480.0

Posted On

29 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, Docker, Cloud-native Architecture, API Design, Event-driven Systems, Java, .Net, LLM Usage, Multi-agent Systems, Prompt Engineering, Technical Leadership, Distributed Systems, CI/CD, Orchestration Tools, Observability Tooling, Policy-as-code

Industry

Software Development

Description

Build Your Career and Future at Wynne. Job Summary: We are seeking a Senior Software Developer to help pioneer the next generation of agentic applications—software systems that leverage autonomous agents, large language models, and adaptive workflows to augment and accelerate human decision-making. In this role, you’ll design, build, and scale intelligent services and applications that seamlessly blend traditional engineering practices with cutting-edge AI-driven automation. You’ll report directly to the Director of Software Development and will perform tasks focused on experimentation, rapid iteration, quality engineering, and mentoring. This is a chance to shape how agentic applications are built, deployed, and adopted in real-world environments. Job Description: Senior Software Developer – Agentic Application Development Remote within the United States or Canada (workday overlap from Pacific to Eastern time zones) Role Overview We are seeking a Senior Software Developer to help pioneer the next generation of agentic applications—software systems that leverage autonomous agents, large language models, and adaptive workflows to augment and accelerate human decision-making. In this role, you’ll design, build, and scale intelligent services and applications that seamlessly blend traditional engineering practices with cutting-edge AI-driven automation. You’ll report directly to the Director of Software Development and will perform tasks focused on experimentation, rapid iteration, quality engineering, and mentoring. This is a chance to shape how agentic applications are built, deployed, and adopted in real-world environments. Key Responsibilities Agentic Application Development Architect, build, and maintain applications that integrate autonomous agents and LLMs into end-to-end workflows. Design APIs, services, and event-driven components that allow agents to interact with systems, data, and users effectively. Ensure applications are resilient, secure, and adaptable in production environments. Provide support for and install Model Context Protocol (MCP) to enable structured communication between LLMs and external tools, APIs, and data sources. AI-First Engineering Pilot and integrate agent frameworks, orchestration layers, and multi-agent systems. Automate repetitive tasks including code generation, testing, monitoring, and documentation. Continuously evaluate and incorporate emerging AI tooling. Agentic Practices & Evangelism Define and codify best practices for designing, deploying, and monitoring agentic workflows. Coach peers on prompt engineering, guardrails, and safe deployment of autonomous agents. Establish patterns for observability, safety, and human-in-the-loop validation. Technical Leadership Set high standards for design, code quality, and testing. Conduct architecture reviews and mentor other developers in building AI-powered systems. Stay current with research and industry trends in autonomous agents and applied LLMs. Engineering Excellence Deliver high-quality applications with strong reliability, security, and performance. Optimize for scalability and cost efficiency in cloud-native environments. Own the lifecycle from prototyping to production deployment. Minimum Qualifications 5+ years of experience building and shipping production software systems. Strong background in designing APIs, distributed systems, and event-driven architectures. Proficiency in at least one statically typed language (.Net or Java). Hands-on experience with cloud platforms (AWS or Azure) and container orchestration (Kubernetes). Demonstrated use of AI/LLM tooling in professional or side projects. Curiosity and creativity in exploring agentic workflows and autonomous development approaches. Strong communication skills and ability to collaborate across remote-first teams. Preferred / Bonus Skills Experience with multi-agent frameworks, orchestration tools, or AI-powered application platforms. Knowledge of service-mesh, observability tooling, and policy-as-code. Familiarity with event-driven systems (Kafka, NATS) and domain-driven design. Exposure to safety, ethics, and compliance considerations in AI systems. Work Environment & Benefits Remote-first with optional hub meet-ups Flexible core hours (overlap 11 a.m.– 5 p.m. ET). Comprehensive health, dental, and vision coverage in Canada & the U.S. Generous vacation, paid learning days, and annual budget for conferences or AI tooling subscriptions. How to Apply Send your résumé and a short write-up describing a time you built or experimented with agentic workflows or AI-powered applications, plus links to public repos, demos, or blog posts. Filtering Terms (for recruiter screening) Core Skills / Tech: Kubernetes, Docker, EKS/GKE/AKS Cloud-native architecture API design (REST/gRPC) Event-driven systems (Kafka, NATS) GitOps CI/CD (ArgoCD, GitHub Actions, Tekton) Java or .Net Agentic / AI-Specific: LLM usage in day-to-day development (Copilot, Aider, Claude Code, Copilot, Codename Goose, Amazon Q, Claude, GPT, etc.) Experience with multi-agent systems or orchestration tools Prompt engineering / guardrail design AI-assisted coding practices General Attributes: Experience in distributed systems History of migrating or modernizing legacy systems Technical leadership or mentoring experience Base salary range: $128,320 - $192,480 annually Other compensation: This position is eligible to participate in the discretionary company bonus plan. Individual compensation packages are based on various factors unique to each candidate, including skill set, experience, qualifications and other job-related reasons. #LI-SE1 Worker Type: Regular Number of Openings Available: 1 Wynne Systems develops mission critical technology that powers the largest rental and construction companies in the world. When you join Wynne’s team you will be joining a small nimble team that puts the customer first. Our culture provides individuals with the ability and opportunity to work together, learn, and grow. Employees are empowered to lead in their areas for the good of the customer and company. We encourage and reward self-starters with growth opportunities within the company and beyond. From day one you will be assigned projects that are meaningful to the success of our business and your career. We offer a wide range of benefits to all fulltime employees including medical, dental, prescription, and optical coverage, company-paid life and disability insurance, flex spending accounts, and 401K. Employees earn paid vacation, in addition to paid holidays and paid floater time. We enjoy a casual work environment, stocked kitchen and congenial coworkers throughout the US, UK and France. We offer opportunities to work in various locations, move departments and expand your responsibilities. Wynne Systems is an equal opportunity employer, we recruit, hire, train, promote and provide all other privileges of employment to qualified people without regard to age, race, color, creed, national origin, gender, gender identity, gender expression, disability, marital status, veteran status, citizenship status, ethnicity, familial status, religion, sexual orientation or any other classification for which discrimination is prohibited. << Back to Job Postings

Responsibilities

The Senior Software Developer will architect, build, and maintain applications that integrate autonomous agents and large language models into workflows. This role involves ensuring applications are resilient, secure, and adaptable in production environments while mentoring peers and establishing best practices.