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.
