Role Overview
We are seeking a highly capable and entrepreneurial Engineering Manager to serve as the founding technical manager in a new AIfocused venture backed by a family office. As the first engineer on the ground you will lead the design and development of AIcentric applications. Youll own endtoend delivery from backend systems to user interfaces with autonomy and a high degree of influence.
Key Responsibilities
1. AI Application Development
Design develop and deploy AIpowered software products that integrate with foundation models (e.g. OpenAI Anthropic) or other AI services via APIs and onprem LLMs
Train and finetune AI models for downstream tasks
Translate product ideas and strategic objectives into functional scalable and userfriendly applications. Build backend services orchestrate workflows and develop frontend interfaces to create seamless enduser 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 cloudnative 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 costefficiency of AIpowered systems. 4. CrossFunctional 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 nontechnical decisionmakers.
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 developerfriendly environment for future hires.
Act as a mentor and technical reference point for future engineering team growth.
Qualifications
Bachelors or Masters degree in Computer Science Software Engineering or a related technical discipline. 610 years of handson experience in fullstack or backend software development ideally with exposure to AIpowered products.
Strong proficiency in Python is essential; experience with TypeScript JavaScript or Go is a plus. Experience building applications that integrate with AI platforms (e.g. OpenAI Anthropic Google Vertex AI). Experience in building microservices APIs authentication/authorization flows and backend orchestration. Proficient with cloud services containerization and basic DevOps practices.
Proven track record of leading an engineering team to deliver AI applications and services
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Yokogawa
Hilton