Senior AI Engineer (Gen AI)

Responsibilities

• Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability.
• Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments.
• Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds.
• Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (e.g., Kubernetes/CNCF) and partner technologies.
• Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware.
• Engineer innovative GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud-native frameworks.
• Optimize AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards.
• Provide expert guidance to clients on incorporating GenAI and machine learning into their cloud-native systems, ensuring best practices and strategic alignment with business goals.

Requirements

• Possess a Degree in Computer Science/Information Technology or related fields.
• Minimum 5 years of experience in Java, Python, Node.js, and Spring programming, comfortable working as part of a paired/balanced team.
• Extensive experience in software development, with significant exposure to AI/ML technologies.
• Expertise in GenAI frameworks: Proficient in using GenAI frameworks and libraries such as LangChain, OpenAI API, Gemini, and Hugging Face Transformers.
• Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance.
• Strong understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models.
• Proven experience developing complex solutions that leverage cloud-native technologies—featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering.
• Solid experience delivering Agile and Scrum projects in a Jira-based project management environment.