Software Engineer, AI Engineer

Software Engineer

Venture 2

Venture 2 is building the next generation of AI-enabled products. Our work spans one-to-many inference systems with applications in anti-piracy, heavy industry optimisation, and prediction markets. We operate as a hybrid venture studio: developing our own D2C and B2B products while also working closely with partially owned companies through contract-based development.

Following a successful funding round and with a seven-figure contract backlog in place, we are expanding our engineering team. This is an opportunity to join early, gain exposure to cutting-edge systems, and progress rapidly into leadership roles.

We are seeking an ambitious developer at or around the beginning of their professional career. You will contribute to production systems, R&D, and cross-company product delivery. The ideal candidate is motivated to take ownership, learn quickly, and grow with the organisation.

• Contribute to development of AI-powered products across multiple sectors.
• Build and maintain backend systems, APIs, and scalable inference infrastructure.
• Assist with research, prototyping, and evaluation of new model architectures.
• Implement production features end-to-end under guidance from senior engineers.
• Participate in code reviews, testing, deployment, and MLOps workflows.
• Work across internal products and contract-based venture projects.

• Strong foundational programming skills in Python.
• Basic understanding of AI / ML models and how they are trained, deployed, and run.
• Familiarity / understanding with version control software (git).
• Ability to work in a fast-moving environment with evolving priorities.
• Curiosity, initiative, and willingness to learn new tools and frameworks rapidly.
• Clear communication skills and collaborative working style.

• Experience with model serving, quantisation, or distributed inference.
• Exposure to containerisation and cloud environments (AWS / DO).
• Projects or open-source contributions demonstrating capability and initiative.
• Experience in data engineering, cybersecurity, prediction systems or financial systems.
• Ability to own the delivery pipeline from idea conception to delivery of product.

• Competitive salary with individual and company-wide performance bonuses.
• Early employee trajectory with equity opportunities as responsibility grows.
• Direct involvement across multiple product lines and industries.
• Fast career progression into technical ownership and leadership roles.
• A culture built around experimentation, responsibility, and engineering excellence.

• Django
• Redis
• PostgreSQL
• Docker
• Celery