Senior Software Engineer – AI & Workflow Automation

Deluxe is a global leader in media and entertainment services for film, video, and online content. The Senior Software Engineer will design and build AI-powered automation systems, integrate intelligent components with backend workflows, and develop scalable production-ready tools. The role also involves prototyping AI agents, collaborating cross-functionally, ensuring code quality, and supporting production deployments.

Responsibilities:

• Design and develop automation solutions that leverage AI models, rules engines, and workflow orchestration tools
• Integrate AI-driven components with internal and external services through REST APIs, message queues, or event-driven systems
• Build and maintain scalable backend systems using Python and frameworks such as FastAPI or Flask
• Experiment with AI/LLM APIs and frameworks (e.g., OpenAI, LangChain, Hugging Face) to prototype intelligent agents and data extraction solutions
• Collaborate cross-functionally to identify automation opportunities and translate them into technical designs
• Ensure quality and reliability, writing clean, testable, and maintainable code
• Participate in code reviews, architecture discussions, and technical decision-making
• Support deployments and monitor production systems to ensure uptime and performance

Requirements:

• 5+ years of professional software engineering experience
• Strong proficiency in Python, with experience building RESTful APIs and backend systems (FastAPI, Flask, or Django)
• Experience integrating AI/ML frameworks or APIs (e.g., OpenAI, AWS Bedrock, Vertex AI)
• Solid understanding of data modeling, asynchronous programming, and microservice architecture
• Experience automating or optimizing complex workflows (e.g., using NLP, OCR, or RPA)
• Proficiency in writing robust tests and working within CI/CD pipelines
• Strong problem-solving ability and curiosity about applying AI to real-world use cases
• Experience working with LLMs or AI agents in production
• Familiarity with workflow engines (Temporal, Step Functions, Airflow)
• Exposure to data transformation, labeling, or prompt design
• Cloud experience (AWS, GCP, or Azure)
• Prior experience in enterprise automation or backend system integration