Generative AI Engineer

Syntax • Full-time • Canada, Canada • 2w ago

Syntax is a leading Managed Cloud Provider for Mission Critical Enterprise Applications and has been providing comprehensive technology solutions to businesses of all sizes since 1972. Syntax has undisputed strength to implement and manage ERP deployments (Oracle, SAP) in a secure and resilient private, public or hybrid cloud. With strong technical and functional consulting services, and world-class monitoring and automation, Syntax serves some of North America’s largest corporations across a diverse range of industries. Syntax has offices worldwide, and partners with Oracle, SAP, AWS, Microsoft, IBM and other global technology leaders.

As an Associate GenAI Developer, your role is to develop and integrate custom AI-driven solutions using GenAI technologies to meet unique business needs. You will work independently and closely with teams to design, implement, and maintain knowledge bases, ensuring their accuracy and performance. You will also focus on integrating AI models into business processes, scaling them effectively, and staying up to date with GenAI research.

Responsibilities

Develop custom agents using our GenAI platform tailored to unique business needs.
Work independently to design and implement knowledge bases and related solutions.
Leverage analytics and machine learning to enhance and optimize knowledge base performance.
Collaborate with team members and stakeholders to define requirements and develop features.
Ensure the integrity and accuracy of data within the knowledge bases.
Thoroughly test and validate solutions prior to deployment.
Integrate knowledge bases with internal and external APIs.
Communicate needs and roadblocks promptly and clearly.
Manage the model lifecycle (deployment, scaling, maintenance).
Handle business integration of AI models, ensuring smooth operational workflows.
Encourage innovation by staying current with the latest GenAI research and applying it where necessary.
Assist in AI Solution Development: Collaborate with senior developers to integrate large language models (LLMs) into products.
Assist in Data Pipeline Management: Help build scalable and reusable data processing pipelines in either scale-up and scale-out environments.
Support Machine Learning Projects: Assist Machine Learning research/project teams with data preparation and evaluation tasks.
Containerization and Deployment: Develop and deploy applications using Docker containers and manage their lifecycle in Kubernetes environments.
Conduct Quality Assurance: Perform Quality Assurance tasks and solve integration issues; Participate in code reviews.

Basic Qualkifications

Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
2-3 years of professional development experience in software engineering, with a focus on Python and JavaScript/Node.js.
At least 1 year of experience working with GenAI technologies.
A background in analytics, machine learning, and GenAI.
Basic understanding of LLMs and AI development frameworks (Langchain and Langflow preferred).
Basic understanding of genAI agentic development and frameworks (crewAI, LangGraph or equivalent)
Proven experience building and managing enterprise software platforms.
Knowledge of design patterns and software architecture principles.
Understanding of cloud infrastructures like AWS, Azure, or GCP.
Experience using Git for source control, including branching, merging, and resolving conflicts.
Good communication skills in English language, German language skill would be an asset
Passion for continuous learning and grow in a dynamic environment.
Ability to work collaboratively in an international team
Experience with Agile methodologies and tools like JIRA or Confluence.

Plus Experience:

Fine-tuning large pre-trained models for custom use cases.
Experience in MLOps for automating the deployment and scaling of AI models.
Familiarity with machine learning frameworks and libraries.
Knowledge of building and maintaining APIs.
Experience with containerization technologies like Docker and Kubernetes.

Why Syntax?

Become a part of our success story and work in a company with exciting innovation projects that are causing a stir across the industry. We recently launched one of the world's most advanced manufacturing facilities based on SAP S/4HANA Cloud and SAP Digital Manufacturing Cloud for Execution - for Smart Press Shop, a pioneering joint venture between Porsche and forming specialist Schuler.