Personal AI empowers organizations to deploy secure, role-specific AI personas for real-world business impact. Our proprietary platform enables advanced agent-to-agent AI workflows, distributed deployment across edge and cloud, and relentless focus on privacy, user control, and operational reliability. We're scaling rapidly and seeking production-focused engineers who build real AI systems that ship and scale.
The Company
- We are serial entrepreneurs with a track record of building and exiting VC-backed startups, bringing experience from LinkedIn, Qualcomm, Microsoft, and more.
- At Personal AI, we’re building a secure, highly accurate AI layer that integrates into enterprise workflows and augments human productivity.
- Our platform enhances memory, communication, and decision-making—positioning us to be the multiplier for the future of work.
The Culture
- We are deeply technical and product-focused, building tools that companies not only adopt but scale.
- We favor innovation over convention, constantly testing and adopting emerging technology.
- We value ownership, high standards, and people who take initiative and deliver exceptional work.
Overview
- Personal AI develops an end-to-end platform that includes a full suite of applications (mobile, desktop, and browser) and integrations into 3rd party applications (e.g. Chrome, Slack, G-Suite)
- You will design and build scalable backend services and intuitive frontend interfaces for our core platform, focusing on robust RESTful APIs and customer-facing features
- You will collaborate directly with customers to gather feedback and translate their needs into technical solutions that drive enterprise growth
Responsibilities
- Work on the Solutions Engineering team, collaborating with the Customer Experience team to understand and implement both frontend and backend features
- Design, develop, and maintain scalable backend services using Python, Java and RESTful APIs
- Build intuitive user interfaces using Vue.js and TypeScript
- Work with MongoDB and PostgreSQL to design and optimize database solutions
- Build and maintain data ingestion pipelines for various file formats
- Create and maintain APIs to support AI model integration and enterprise features
- Participate in architectural discussions around cloud infrastructure (AWS/GCP) and containerization strategies using Docker and Kubernetes
- Interface directly with customers to gather feedback and deliver customized solutions
Qualifications
- 3-5 years of professional full stack development experience
- Strong backend focus (approx. 70%) with proficiency in Python, Java, and RESTful API design
- Frontend development experience (approx. 30%) using TypeScript and Vue.js
- Experience with cloud platforms such as AWS or GCP
- Familiarity with containerization and orchestration tools (Docker, Kubernetes)
- Strong communication skills with an ability to interact directly with technical and non-technical stakeholders
- Fluent in English and clear in understanding and communicating with enterprise customers
Preferred Qualifications
- Experience working with AI/ML platforms
- Understanding of vector databases, semantic search, and AI/ML model integration
- Background in real-time data processing or distributed systems
- Knowledge of embeddings, semantic search, or data transformation pipelines
- Experience with Istio service mesh
What We Offer
- Competitive salary.
- Flexible time off - encouraged use of PTO
- Generous equity in the company.
- Standard health, dental, and vision benefits.
- Team socials & outings throughout the year
Application Requirements
- Updated resume
- GitHub profile or portfolio of relevant work