Senior AI Engineer (Python)
QAD, Inc.About the role
Company Description
Redzone helps manufacturers make more product for less while greatly improving the employee experience. While there is a lot of hype around digital transformation, the factory of the future, and Industry 4.0, the focus has been on the equipment and technology – not the people. At Redzone, we are all about the people, what we call “the connected worker.” We make frontline teams more engaged and more productive so their lives improve while contributing to positive business outcomes. We do this by combining exceptional software and world-class coaching, giving our customers an average productivity increase of 22% in 90 days. Redzone brings together Production, Maintenance, and Quality teams, improving the communications between those teams to resolve issues and increase output. Decision-making happens on the shop floor by the people doing the work, in real time, for immediate impact and a better overall employee experience.
With over 1000 customers, 1400 plants and 325,000 users, Redzone is changing the way people work – one plant at a time
This is a full-time position for direct hire to QAD-no visa sponsorship available. Employee must be currently located in the United States (Eastern Timezone highly preferred).
Job Description
At Redzone, we are looking for a Senior AI Engineer (Python) who is passionate about new technologies and wants to be part of the team developing and maintaining the Redzone Champion AI platform. This platform serves the primary AI use-cases for various products within QAD. As a part of the Engineering team, based in the US, Mexico, and Europe, this role will bring you great opportunities to work on various projects and technologies with a diverse range of teams.
The Engineering team is responsible for the design, development, and deployment of the organization's core products, with a focus on efficiency and speed. We architect and implement comprehensive solutions, including tools and platforms, to address key business requirements. These solutions encompass critical areas such as provisioning, configuration, continuous integration/continuous delivery (CI/CD), monitoring, service level agreements (SLAs), performance optimization, and system uptime. The team is committed to meticulous execution and collaborates extensively with a broad range of stakeholders throughout the product lifecycle.
What you will do:
- Help the business maintain a competitive edge by leveraging the latest AI technologies and frameworks.
- Design, develop, and enhance advanced AI workflows and intelligent agents using Python to support various QAD applications.
- Implement and iterate on complex, multi-actor systems using modern agent patterns and frameworks
- Employ advanced prompt engineering techniques to optimize interactions and achieve state-of-the-art results from Large Language Models (LLMs).
- Implement robust testing and observability for AI models using continuous evaluations and telemetry to ensure performance and reliability."
- Write clean, testable, and maintainable Python code.
- Contribute to the stability and maintainability of our codebase through meticulous review of pull requests
- Complete delivery work committed during the sprint to achieve business goals.
- Provide subject matter expertise during incidents to resolve customer issues quickly.
- Participate in forums to explore interests outside of sprint work and contribute ideas to continuously improve our AI systems.
Qualifications
Required Qualifications:
Education: Bachelor’s degree in Information Technology, Engineering, Computer Science, or related fields.
Professional experience: 8+ years in software engineering with a strong focus on AI/ML.
Technical skills:
- Strong knowledge of Python and its application in AI/ML development.
- Proficiency with modern AI development libraries and frameworks (e.g., LangChain, Pydantic).
- Developed and scaled generative AI applications from proof-of-concept to production.
- Demonstrated experience building robust, scalable APIs using frameworks like FastAPI, Flask.
- Knowledgeable of maintaining versioned API contracts and API-first design using OpenAPI Spec (OAS).
- Experience with relational table design and interacting with it.
- Experience writing observable and testable code using libraries such as pytest and unittest.mock.
- Experience publishing and consuming messages from event streaming platforms like Kafka.
- CI/CD with GitHub Actions.
- Trunk Based Development & Continuous Delivery.
Soft skills:
- Good collaboration skills at all levels with cross-functional teams.
- Highly developed ownership and creat
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