Building and scaling an AI-powered enterprise software startup
Requirements
- Advanced Technical Degree: A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a closely related quantitative field.
- Extensive Hands-On Development Expertise: Deep practical experience in software development, with a strong focus on designing, developing, and deploying scalable machine learning models and data-intensive applications in a production environment.
- Mastery of AI Agent Systems: Proven proficiency in designing, developing, and implementing multi-agent systems or complex intelligent agents, demonstrating an understanding of their architecture, communication protocols, and deployment challenges.
- Robust Data Science; ML Engineering Skills: Strong background in data collection methodologies, ETL processes, feature engineering, model selection, hyperparameter tuning, and model deployment/monitoring.
- API; System Integration Expertise: Extensive experience designing, developing, and integrating with RESTful APIs, microservices, and various third-party systems.
- Exceptional Problem-Solving; Analytical Acumen: Ability to dissect complex technical challenges, devise innovative solutions, and make data-driven decisions.
- Familiarity with MLOps practices
Responsibilities
- Architecting; Leading Technical Vision: Define, develop, and implement the company's end-to-end technology roadmap and architecture, ensuring scalability, security, and performance for our enterprise software.
- Building; Mentoring a High-Performing Tech Team: Recruit, lead, and mentor a team of talented engineers and data scientists, fostering a culture of innovation, collaboration, and technical excellence.
- Driving AI; Data Science Innovation (with a focus on Agents): Oversee the entire data lifecycle, from robust data collection and pipeline development to advanced machine learning model design, training, and deployment.
- Hands-On Full-Stack Development & Deployment: Lead in collaboration to design, development, and deployment of core software features and AI models, ensuring robust, production-ready solutions across the entire stack.
- Product Strategy; Execution: Collaborate intimately with the CEO and other stakeholders on product strategy, contributing actively to ideation, rapid prototyping, and user testing to ensure our solutions meet market demands.
- Client Engagement; Technical Partnerships: Act as a key technical liaison for current and prospective clients, understanding their needs, presenting technical solutions, and fostering strong relationships.
- Staying Ahead of the Curve: Continuously research and integrate emerging technologies, AI/ML advancements, and industry best practices into our product development cycle.
Other
- A self-starter with a strong bias for action and a can-do attitude, comfortable with ambiguity, and a passionate commitment to building a successful startup.
- Outstanding Communication Skills: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences, including potential clients and investors.
- Ability to work on multiple projects simultaneously and bring positive vibes and enthusiasm to everything you do.
- Significant dedication and commitment, including working outside of traditional hours and potentially on weekends, especially during critical development and deployment phases.
- Advanced Technical Degree: A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a closely related quantitative field.
