Senior Software Developer – Agentic Application Development

Wynne Systems

132d • $128,320 - $192,480

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees