This individual must demonstrate strong knowledge and experience in the cloud native technologies, AI/ML pipelines and appreciation of scale, performance and cost considerations from a Systems as well as AI/ML inference & training aspects as well.

·       Help in building of OpsRamp’s CoPilot for Autonomous Operations for the Hybrid Cloud. 

·       Implement  cloud-native architecture concepts and have knowledge of best practices for high availability, scalability, resilience, performance, and security requirements in the cloud. 

·       Incorporate the MLOPS paradigm and CI/CD in the AI/ML world, while following cloud-native techniques.

·       Actively participate in the design and development of AI/ML pipelines, AI Co-pilots/Agents etc.

·       Guides and mentors less-experienced staff members to set an example of software systems design and development innovation and excellence, helping engineers grow in their careers.

What you need to bring:

·       5-10 years of relevant experience in the industry delivering scalable cloud/cloud-native solutions with ETL pipelines.

·       Bachelor's or Master's in Computer Science, Information Systems, Machine Learning, Engineering, or equivalent 

·       At least 2 years of hands-on expertise in defining, building, training and / or optimizing AI/ML models at scale in any of the popular ML frameworks.

·       Deep Understanding in Multi-agent/RAG/Advanced RAG applications, Prompt Engineering Techniques, Fine-tuning LLMs with an eye on inference performance.  

·       Familiarity with toolchains like Llamaindex, Langchain etc. is desirable.

·       Must have strong knowledge of application failure modes, resiliency patterns, and techniques to enable robust, self-healing designs. 

·       Ability to effectively communicate product design proposals and negotiate with other stakeholders to achieve design consensus.

·       Must be able to work in a global, complex, and diverse environment. 

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)