Engineering Manager

Norman Alex

Key Responsibilities

1. AI Application Development Design, develop, and deploy AI-powered software products that integrate with foundation models (e.g., OpenAI, Anthropic) or other AI services via APIs and on-prem LLMs. Train and fine-tune AI models for downstream tasks. Translate product ideas and strategic objectives into functional, scalable, and user-friendly applications. Build backend services, orchestrate workflows, and develop front-end interfaces to create seamless end-user experiences.
2. Systems & Architecture Design Architect modular and extensible systems that support rapid experimentation and deployment of new AI features. Make critical decisions on frameworks, libraries, data structures, and cloud-native design patterns tailored to AI applications. Prioritize maintainability, reusability, and performance.
3. Infrastructure & Deployment for AI Use Cases Set up cloud infrastructure (e.g., AWS, GCP, or Azure) to host applications and manage secure, scalable data and API integrations. Implement lightweight DevOps workflows: CI/CD pipelines, containerization, and monitoring for deployed applications. Ensure infrastructure is optimized for latency, concurrency, scalability and cost-efficiency of AI-powered systems.
4. Cross-Functional Collaboration Work directly with stakeholders and domain experts to define features and development priorities. Participate in product ideation and contribute to shaping the roadmap through technical insight. Provide clear, actionable technical feedback to non-technical decision-makers.
5. Engineering Culture & Best Practices Establish coding standards, version control workflows, code reviews, and testing protocols appropriate for a lean startup. Document systems and maintain a developer-friendly environment for future hires. Act as a mentor and technical reference point for future engineering team growth.