Overview
Predictable Machines is on a mission to build AI systems that are not only cutting-edge, but also reliable, explainable, and efficient. We’re looking for a Junior Generative AI Engineer—a curious and motivated individual who wants to grow in the field of generative AI. Whether you’re currently pursuing a degree, recently graduated, or transitioning into AI from another technical background, this is a chance to work alongside top engineers and researchers on real-world applications.
Key responsibilities
Collaborate with senior engineers to build and test AI-driven prototypes and tools.
Assist in designing and refining prompts using tools like OpenAI, Claude, or open-source LLMs.
Support reliability testing, validation, and performance optimization of AI workflows.
Stay current on trends in generative AI, NLP, and model evaluation methods.
Participate in code reviews, team discussions, and collaborative problem-solving.
Qualifications
Studying or recently completed a degree in Computer Science, AI, Engineering, or a related field (or self-taught with a portfolio).
Basic proficiency in Python and interest in AI tools and frameworks.
Curiosity about generative AI, prompt engineering, and language models.
Willingness to learn fast, take initiative, and work in a collaborative environment.
Strong communication skills and a proactive attitude.
Bonus (Not Required):
Experience with LLM APIs (OpenAI, Anthropic, Hugging Face, etc.).
Familiarity with Git, LangChain, or RAG concepts.
Interest in AI ethics, explainability, or graph-based data systems.
What we offer
Hands-on mentorship from experienced AI engineers and researchers.
Opportunity to work on real projects with impact in the AI reliability space.
Flexible, remote-first working environment.
A chance to grow your skills and transition into a full-time role in a fast-growing company.
Access to state-of-the-art AI tools and learning resources.