AI Engineer

Why Ansell?  

At Ansell, we stay two steps ahead of workplace risk to deliver innovative safety solutions that enhance people’s quality of life. As a global leader in protection solutions, we design and develop a wide range of products including gloves, clothing, and other protective gear to keep workers safe and productive across industrial, medical, and consumer applications. 

Discover more about our company, our people, and our values by visiting us at Ansell. 

Ansell is looking for AI Engineer to join our team!

• The Senior AI Engineer is a technical leader with deep expertise in AI/ML, Generative AI, Large Language Models (LLMs), and modern cloud-native application development.
• This role is responsible for the design, development, maintenance, and support of enterprise-grade software systems and for delivering scalable architectural solutions across Ansell. He/She should demonstrate advanced programming expertise (Java Spring Boot, Python, Node.js, Angular, TypeScript), particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
• He/She is responsible for the development, ongoing maintenance, and support of software systems, and for providing technical expertise and architectural solutions in the applications Ansell-wide.
• He/She will be responsible for applying software development best practices, principles, theories, and concepts for building software products and enterprise solutions. Ability to develop solutions from the ground up by leveraging suitable modern technologies, and/or current reusable artifacts.

 

Responsibilities:

 

·       Responsible for building innovative software products using various software architecture patterns with solid design principles.

·       Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.

·       Conceptualize, develop products specifically using Large Language Models, including data acquisition, pre-processing, model training/tuning, deployment, and monitoring

·       Perform truth analysis to assess the accuracy and effectiveness of Large Language Model outputs, comparing them to known, accurate data

·       Develop target state architectures and validate with the development team.

·       Collaborate with Product Owner, product development team, and infrastructure team to ensure support of software development and testing.

·       Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.

·       Oversee and maintain cloud infrastructure (e.g., AWS, Azure) specifically for Large Language Model workloads, ensuring cost-efficiency and scalability.

·       Implement RAG architectures to enhance response relevance using external knowledge sources

·       Integrate Large Language Models into chatbot workflows for summarization, classification, and intelligent routing, and Agentic AI Agents

·       Design prompt chaining and semantic search flows for document-based and FAQ based virtual assistants

·       Design and implement knowledge-based search using AI-driven techniques (e.g., FAQ ingestion, document indexing)

·       Drive performance optimization, CI/CD integration and code quality standards.

·       Establish robust monitoring and alerting systems to track Large Language Model performance, data drift, and other key metrics, proactively identifying and resolving issues.

·       Participates in proof of concepts to assist in technology direction and enabling business strategy.

·       Conducts and assists in end-to-end technical design for software products.

·       Responsible for impact analysis and design modifications to existing systems to support new solutions.

 

Key Requirements:

 

Education:

• Bachelor’s or Master’s degree in Computer Science, IT, or related field.
• Certified in at least one Cloud or AI-related Certification.

Job Experience:

• 9+ years of experience in New Product Development, and at least 3 years of experience as an AI engineer using LLMs, AI-driven products & agents.

• Proven ability to define and deliver complex technical products involving AI/ML, recommendation engines, or analytics.

• Demonstrated track record of delivering high-quality software products at scale.
• Strong data analytics skills and experience defining and owning translat…