AI Engineer

Company Description

Ergodic AI is an Artificial Intelligence 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 an AI Engineer at ergodic.ai 

As an AI engineer, your mission is to build the foundational layer of how different AI models interact with various modalities of data, build agentic systems on top of it, develop custom-made models for specialised tasks and implement newly built solutions in the area of reinforcement learning and active inference. We're not in the langchain-and-pray business, we're looking for engineers with attention to detail, who value elegance and love thinking about architectures and data models.

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

• Solid understanding of the current AI ecosystem, including traditional ML.

• Hacker mentality - when there's a will, there's a way.

• Proficiency in Python Web Frameworks such as FastAPI, solid engineering skills.

• (Preferably) Some level of comfort with TypeScript (React / Next.js) and ability to quickly put together basic UIs

• Basic understanding of DevOps practices, including CI/CD pipelines, automated testing, and infrastructure as code (IaC)

• Knowledge of cloud platforms and deployment processes

• 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