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Company Description
Ergodic AI is an AI startup based in London that is building an action-oriented AI platform to help enterprises move from analysis paralysis to rapid data-driven execution.
Kepler - our AI platform - identifies context, surfaces optimal actions and justifies the reasons for their execution. We're an early stage startup and are already working with multiple F500 enterprises.
We’re backed by leading VC funds to help further our mission and are now on the hunt for the brightest and best to join us.
Our Team
The founding team is highly experienced across a range of AI and commercial work, with careers in world class organisations and experience building and exiting $multi-million startups previously.
Process
As you progress through the process, you’ll meet each of the 3 founders who will probe you for your motivations, experiences and fit for the role.
Steps:
Application / CV screening
Interview with CTO
Interview with CSO
Interview with CEO
Decision
We aim to move quickly through the process and not waste your time.
The Role:
This is a full-time role for a Full Stack Engineer at Ergodic AI.
As a Full Stack Engineer, you will be responsible for both Back-End and Front-End development tasks. You will work closely with our team to design and implement our platform to meet the needs of our clients and our vision. You will likely work directly with clients to ensure our platform integrates with their stack and business workflows.
As an early stage hire, you will bring technical experience and hands-on development skills to shape our product as we unleash it on the world's most challenging data & AI problems.
You will receive meaningful equity and a competitive salary alongside all the tech you need to execute.
Qualifications
Experience in Back-End Web Development, Front-End Development, and Full-Stack Development
Proficiency in Python Web Frameworks such as (Flask, FastAPI) and exposure to AI, ML and LLM development
Comfortable working in a JavaScript/TypeScript environment e.g. React / Next.js / Vercel
Basic understanding of DevOps practices, including CI/CD pipelines, automated testing, and infrastructure as code (IaC)
Knowledge of cloud platforms and deployment processes
Experience with software development methodologies and best practices
Comfort working in a startup environment (either through experience or desire) where ambiguity is the expectation but the potential to grow is huge
Strong problem-solving and analytical skills
Ability to work collaboratively in a team environment
Excellent communication and interpersonal skills
Bachelor's degree in Computer Science, Engineering, or a related field
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
