Engineering Development Lead – Artificial Intelligence
Description
Job Title: Engineering Development Lead – Artificial Intelligence (San Francisco Bay Area)
Compensation: $150,000 base
About the Role
Our client, an exciting AI startup, is seeking a dynamic Development Engineer Lead with deep hands-on expertise in artificial intelligence (AI) or SaaS and a passion for building scalable solutions across diverse technology stacks. Based in the heart of the San Francisco Bay Area, you will architect, code, and deploy innovative AI/ML and SaaS systems while creating product roadmaps, and performing hands-on coding. This role suits leaders who thrive on both coding and people leadership in a fast-paced, innovative environment.
Our client, an exciting AI startup, is seeking a dynamic Development Engineer Lead with deep hands-on expertise in artificial intelligence (AI) or SaaS and a passion for building scalable solutions across diverse technology stacks. Based in the heart of the San Francisco Bay Area, you will architect, code, and deploy innovative AI/ML and SaaS systems while creating product roadmaps, and performing hands-on coding. This role suits leaders who thrive on both coding and people leadership in a fast-paced, innovative environment.
Key Responsibilities
- Architect, design, and code advanced AI/ML-driven systems across varied tech stacks, ensuring best-in-class performance, scalability, and reliability.
- Lead the end-to-end lifecycle of AI solutions: from ideation, prototyping, and development to deployment and continuous improvement.
- Collaborate closely with founder to define and realize product vision.
- Integrate models and algorithms into cloud-based applications, leveraging tools such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, and big data technologies (e.g., Spark, Airflow).
- Write clean, efficient, and maintainable code in various applicable stacks; advocate engineering best practices (CI/CD, testing, observability).
- Monitor and evaluate model and system performance, drive rapid experimentation, and stay at the forefront of technology trends within AI and software development.
- Ensure robust security, privacy, and compliance for all deployed solutions5.
- Influence technical direction and foster a collaborative, innovative engineering culture.
Qualifications
- Bachelor’s or Master’s in Computer Science, Engineering, AI, or related discipline.
- 5+ years of hands-on software engineering experience with at least 3 years in AI/ML model and/or SaaS development and deployment.
- Demonstrated coding proficiency in various technologies such as Python and at least one other major programming language (e.g., Java, C++, JavaScript), with experience in multiple tech stacks.
- Experience with cloud platforms (i.e. AWS, Azure, GCP), microservices, containerization (Docker, Kubernetes), and scalable backend systems.
- Excellent communication and leadership skills, with a proven ability to manage and mentor engineers and guide projects from concept to production.
- Startup mentality: adaptable, self-driven, and eager to solve open-ended technical challenges in a collaborative environment.
Location and Benefits
- Remote work, with preference for those based in the San Francisco Bay Area.
- Competitive base salary and strong equity in the company.
- Direct influence on cutting-edge products and opportunities for rapid career growth in a collaborative, high-impact team.
If you’re a hands-on builder as much as a team leader, and you thrive on driving innovation in AI, please send your resume to [email protected].