Overview
Predictable Machines is seeking a Generative AI Engineer to join our expert team dedicated to ensuring AI workflows meet business requirements. We develop and verify AI-driven tools that guarantee reliability, efficiency, and real-world applicability. This role will start as a contract position with the potential for a permanent role.
We are tackling a truly novel challenge by blending cutting-edge AI methodologies with rigorous validation processes to ensure robust and trustworthy AI systems. Our approach integrates state-of-the-art machine learning techniques, software verification methods, and AI-driven automation to optimize and secure AI-driven business applications.
Have demonstrated experience in implementing complex AI systems using state-of-the-art generative AI tools and frameworks.
Are familiar with AI reliability testing, model evaluation, and deployment best practices.
Are proficient in Python and capable of writing, shipping, and maintaining well-documented, scalable code.
Have a strong understanding of LLM architectures, prompt engineering, and retrieval-augmented generation (RAG).
Predictable Machines fosters a culture of innovation, rigor, and accountability. We value driven individuals who combine technical expertise with a deep commitment to ensuring AI reliability, explainability, and efficiency. If you are passionate about building AI systems that meet real-world business needs, we’d love to hear from you.
Key responsibilities
Collaborate with our CTO and engineering team to design and develop AI-driven tools that align with business objectives.
Apply best practices in AI reliability, verification, and validation.
Stay up to date with advancements in NLP, generative AI, and AI evaluation methodologies, identifying opportunities for innovation.
Optimize LLM applications for performance, efficiency, and interpretability.
Build and refine AI models using retrieval-augmented generation and knowledge graphs.
Qualifications
Minimum one year of experience in AI application development.
Proficiency in Python or Rust and experience with AI-related libraries.
Experience with LLM prompt engineering and OpenAI API (or equivalent LLMs).
Knowledge of model evaluation, reliability testing, and optimization techniques.
Preferred Skills and Qualifications:
Master’s degree in Computer Science, AI, Cognitive Science, or a related field.
Experience working with graph databases, knowledge graphs, and classical NLP techniques.
Fluency in deep learning, model fine-tuning, and LLM agent development.
Strong interest in AI ethics, verification, and explainability.
Soft Skills
Strong problem-solving and analytical skills, with the ability to assess client needs and propose effective solutions.
Active listening and empathy, ensuring a deep understanding of client pain points and objectives.
Adaptability and quick learning are key to staying ahead in a rapidly evolving technology landscape.
Teamwork and collaboration, working seamlessly across sales, engineering, and product teams.
A kind, respectful, and thoughtful attitude—we value good people as much as great skills.
What we offer
The opportunity to work with a team of highly skilled professionals at the forefront of AI and automation innovation.
Impactful, visible work in a flat organizational structure—your ideas and contributions will shape our direction and success.
Flexible working hours and remote work options, focused on results rather than office presence.
Annual performance-based bonus—when the company thrives, everyone shares in the success.
Dedicated time for self-improvement and exploration of personal projects.
Access to continuous learning and professional development in one of the most exciting fields in technology today.
Join us to help industry leaders unlock the full power of AI, LLMs, and automation, transforming the way businesses operate and compete in the digital era.