Generative AI Operations Engineer

What you'll work on

• AI Application Development (60%): Design and develop production-ready user interfaces for AI/ML applications using Streamlit as the primary framework
• Build intuitive chat interfaces, document processing applications, and interactive dashboards for LLM-powered systems
• Create responsive, user-friendly interfaces for RAG/knowledge base systems, enabling economists and analysts to query complex datasets
• Implement real-time streaming responses and feedback mechanisms for generative AI applications
• Develop reusable UI components and design patterns for AI applications across the organization
• Ensure applications meet accessibility, security, and compliance requirements for client environments
• Optimize front-end performance for AI applications handling large document sets and real-time model inference
• Integration & Collaboration (25%): Collaborate closely with data scientists to integrate ML models and LLM solutions into production applications
• Work with backend engineers to design and consume RESTful APIs and event-driven architectures
• Integrate AWS AI services (Bedrock, SageMaker, Textract) into front-end applications
• Implement prompt engineering interfaces and parameter tuning controls for LLM applications
• Bridge the gap between complex AI capabilities and intuitive user experiences for non-technical stakeholders
• Participate actively in Agile rituals and follow Scaled Agile processes as set forth by the CDP Program team
• Partner with product management and business stakeholders to gather requirements and iterate on UI/UX designs
• Support & Enablement (15%): Provide technical support and troubleshooting for deployed AI applications
• Create comprehensive documentation for AI application development patterns and best practices
• Train data engineers and other team members on front-end development and Streamlit best practices
• Monitor application performance, user feedback, and usage patterns to drive continuous improvement
• Stay current on AI/ML interface trends, front-end technologies, and client regulatory requirements
• Act as escalation point for AI application technical issues.

What we're looking for

• Experience with Databricks, Collibra, or modern data platform tools
• Knowledge of containerization (Docker) and orchestration technologies
• Experience with CI/CD pipelines and DevOps practices
• Familiarity with data visualization libraries (Plotly, Altair, Matplotlib)
• Background working in regulated industries (financial services, healthcare, government)
• Experience with A/B testing and user analytics for application optimization
• Understanding of MLOps practices and model deployment patterns

OpenKyber takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.

About OpenKyber Group: The OpenKyber Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. OpenKyber is a CMM level 5, IT consulting company with a global presence.

For applications and inquiries, contact: [email protected]