Principal Engineer – Gen AI

Job Description

Your Responsibilities:

Engineering

• Work with Principal Platform Engineer and Senior Product Owner to help drive direction of platform and automation capabilities including our internal technical products related to GenAI capabilities.
• Stay abreast of the latest AI research, trends, and technologies, and apply this knowledge to drive continuous improvement and innovation within the team.
• Look for continuous improvement opportunities in our core ecosystem identifying new ways to enhance application team and developer experience.
• Bring your expertise into a team of talented engineers and continually help shape where the team can help to better enable our secure, reliable, efficient vision.
• Follow the value mentality with opportunity to work across the engineering team helping to ‘walk in the shoes’ of application teams as well as operational engineering teams.
• Communicate progress, results, and insights to management and other stakeholders.
• Strong understanding of MLops principles and practices
  

Daily / Monthly Responsibilities

• Build and run responsibilities for GenAI ensuring robust support folding into standard incident processes as the products mature.
• Help work with distributed teams across the business on how to consume AI/ML capabilities.
• Hands on code, build, govern and maintain.
• Working as part of a scrum team, deliver high quality technical deliverables.
• Designing and building solutions to support the automation of manual IT and business processes.
• Continually modernise software development processes using Continuous Integration and Continuous Delivery (CI/CD) techniques to ensure efficient and high-quality delivery.
• Establish strong partnerships with key service integrators (vendors), helping to support the adoption of automation capabilities.
• Establish a strong partnership with our application health program and Information Security, helping to identify opportunities and mitigate risks.
• Coach and mentor junior engineers, members of our student program to help build a strong connected organisation.
• Supporting application teams, internal and external, helping to resolve barriers related to building, deployment, and utilisation of engineering products.
  

What You Need to Succeed (minimum qualifications):

• Minimum 2+ years of hands-on experience in Generative AI and LLMs. An overall 8+ years of experience as Software Engineer.
• Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other AI/ML frameworks.
• Strong understanding of MLops principles and practices
• Ability to design and implement complex ML systems
• Strong understanding of neural networks, natural language processing (NLP), computer vision, and other AI domains.
• Experience with cloud platforms and AI tools (e.g., Google Cloud, Azure).
• Familiarity with natural language processing or AI technologies (e.g LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering)
• Experience with data pipelines and preferably processing of documents (e.g using Google Cloud Fusion/Azure Data Factory)
• Demonstrated success in deploying AI solutions in real-world applications.
• Work closely with product managers, data scientists, software engineers, and other stakeholders to integrate AI solutions into existing and new products.
• Stay abreast of the latest AI research, trends, and technologies, and apply this knowledge to drive continuous improvement and innovation within the team.
• Strong background in either Python/Typescript
• Operational experience taking internal products and ensuring they are well maintained, supported, and iterated upon.
• Experience working with technical and non-technical team members to encourage adoption of new versions of software or products.
• Working within a DevOps team including modern software development practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc.
• Familiarity working within an agile team.

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