Job Description

Company Description
QAD is building a world-class SaaS company, and we are growing. We are looking for talented individuals who want to join us on our mission to help solve relevant real-world problems in manufacturing and the supply chain.
We are a virtual first company and your primary work experience will be virtual / working from your home. Occasional travel to a physical office may be required to enhance working relationships, collaboration, design, strategy and alignment.

At QAD 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 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.
This is a fully remote role located in UK. With full work authorisation already in effect. No Visa sponsorship available.
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: 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 creative thinking.
• Analytical thinking and the ability to solve complex problems.
• Process orientation and ability to build effective solutions.
• Time management and organizational skills.
• Fluent in English.

Preferred Qualifications:

• Proficiency in designing and building agentic systems using frameworks like PydanticAI, LangGraph.
• Experience with AWS Bedrock Knowledge Bases and Agents.
• Experience with Launch Darkly for feature flagging.
• Proficiency with Docker.
• Familiarity with AWS Cloud Services, including EKS and RDS.
• Familiarity with MLOps principles and tools.
• Familiarity with AWS SageMaker for building, training, and deploying machine learning models.

Additional Information
Your health and well being are important to us at QAD. We provide programs that help you strike a healthy work-life balance.
Opportunity to join a growing business, launching into its next phase of expansion and transformation.
Collaborative culture of smart and hard-working people who support one another to get the job done.
An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy.
Compensation packages based on experience and desired skill set
About QAD:
QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises. QAD solutions help customers in the automotive, life sciences, packaging, consumer products, food and beverage, high tech and industrial manufacturing industries rapidly adapt to change and innovate for competitive advantage.
QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD's DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
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