Senior Software Engineer

Location: US or CA Remote

We are seeking a Senior Software Engineer with a strong �builder� mindset who is passionate about creating intelligent, scalable, and automated platforms. You will play a key role in designing, building, and integrating AI-powered agents and systems that enhance our products and internal workflows. Leveraging your expertise in Python, C#.NET, JavaScript and API-based architecture, you�ll work closely with the AI team to develop integrations that harness the capabilities of modern AI tools and frameworks. This role reports to the VP of Global Architecture.

Qualifications Required

• 5�7+ years of experience in software development.
• Strong proficiency in C#.NET, JavaScript, Python.
• Proven experience designing, building, and maintaining robust APIs.
• A bachelor�s degree in computer science, information systems, or a related field.
• Experience developing AI-driven integrations (e.g., connecting to OpenAI, Azure OpenAI, Anthropic, or similar APIs).
• Familiarity with agentic architectures (e.g., workflow orchestration, autonomous or semi-autonomous AI systems).
• Experience with production-grade application development, integration, and support.
• Experience with telemetry and observability tools (e.g., OpenTelemetry, Prometheus, Grafana, etc.).

Highly Preferred

• Experience with DevOps automation practices.
• Proficiency with containerization (e.g., Docker, Kubernetes).
• Experience deploying AI-integrated applications to Azure, OpenAI, or other major cloud platforms.
• Strong understanding of CI/CD, infrastructure-as-code, and automated testing frameworks.
• Experience integrating third-party APIs or enterprise systems with AI capabilities.

Nice-to-Have

• Familiarity with front-end technologies (e.g., Vue, React).
• Experience with vector databases, prompt orchestration frameworks, or AI agent toolkits (e.g., LangChain, Langfuse, Semantic Kernel, AutoGen).
• Understanding of data pipeline design for AI input/output management. Responsibilities Design and build AI-powered agents that interact with systems, APIs, and data to automate workflows and enhance decision-making.
• Develop and maintain AI integration layers, connecting internal and external systems to modern AI APIs and tools.
• Collaborate with cross-functional teams to translate business use cases into intelligent agent capabilities.
• Implement best practices in software engineering, including CI/CD, automated testing, and infrastructure-as-code.
• Ensure security, reliability, and scalability of AI-integrated services.
• Stay informed about advancements in AI agent frameworks, API design, and cloud automation.
• Optionally, contribute to front-end tools that improve agent interaction and platform usability.

Success Criteria

• Proven ability to develop and deploy AI-powered agents or integrations in production environments.
• Passion for building automation systems and intelligent services that improve efficiency and user experience.
• Strong communication and collaboration skills across engineering and AI product teams. Comfort with rapid prototyping and iteration in an AI-driven context.
• Self-motivated, autonomous, and able to manage multiple concurrent projects effectively.
• Demonstrates an understanding of when and how to safely leverage AI tools while maintaining engineering excellence.

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