Lead design and implementation of GenAI platform components and secure APIs. Drive end-to-end AI development from research to production, apply DevOps for scalable deployments, collaborate with cross-functional teams, and stay current with GenAI advances to deliver customer value.
Key Job responsibilities:
- Design and implement Gen AI platform components, using Python and modern microservices.
- Collaborate with tech, product, program and business peers to deliver customer value and drive product vision.
- Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling
- Apply DevOps principles to maintain high-performance and scalable AI systems.
- Design and implement secure APIs, ensuring data protection and secure interaction with AI models.
- Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team
Experience & Qualifications
- Minimum 15+ year of experience in Software Development
- Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine tuning, inference and more
- Experienced with Gen AI related python libraries and modules
- Proficiency in Python libraries and modules
- Experience with Kubernetes based continuous delivery, utilizing Jenkins, Tekton, and Docker to automate and streamline deployments
- Proficiency in Git for version control and collaboration in development workflows
- Experience in Java/GO is an advantage
- Experience with Oracle and vector databases (e.g, PostgreSQL) for data storage and retrieval is a plus
- Excellent interpersonal skills, team player with strong communications skills
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