ML Engineer

This role is with a Calyptus partner.
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About the Role
As part of the Founding Team, you'll be at the forefront of defining how AI orchestration works at scale. You will co-lead and propel our Machine Learning team to define how Human x AI orchestration works at scale. Working in tandem with our CTO, you will develop and integrate sophisticated orchestration systems that intelligently coordinate between a multitude of AI models, emerging tooling, and human workers. NLP and agent orchestration are key to this role. You will be expected to take ownership and initiative to push us as far as possible, enabling our team to lead and win a new $1.5Trillion market.



You will have the opportunity to learn new technologies and apply them in a fast-paced environment, seeing the direct impact of your work in the product rapidly. From experimentation to deployment, you'll be part of a cycle where your contributions quickly translate into real-world applications, helping shape the future of our product.



As part of the Founding Team, you'll have unprecedented influence in shaping our IP and a front row seat to what we view as the most exciting problem of our time:
creating the systems that powerfully integrate an exponentially smarter alien intelligence into the lives of every company in the world.



Your Responsibilities

Pioneer the development and implementation of AI agents for autonomous task execution within our orchestration platform
Design and implement sophisticated systems for intelligent task planning, delegation, and coordination between AI agents and human workers
Architect and build scalable, production-ready systems in cloud environments (AWS), with a focus on performance, reliability, and cost optimisation
Develop and implement complex workflows for task routing and execution across multiple AI models and human operators
Create robust monitoring and evaluation systems to track agent performance and workflow efficiency
Integrate various AI models and tools into our orchestration layer, ensuring seamless interoperability
Work with relational, non-relational, and graph databases to manage and process data efficiently
Drive technical initiatives independently, from problem identification through solution implementation
Contribute to the development of our core orchestration engine and its underlying architecture
Self-manage complex projects while maintaining clear communication with stakeholders



Required Experience
Your experience will match well with the following. We are not box tickers. Above all, we value drive, work rate, and tenacity.



Education and Qualifications
Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related field



Technical Skills and Experience:

5+ years of professional machine learning experience or applied research in a related field
Strong foundation in data structures, algorithms, and software engineering principles
Demonstrated experience with LLM frameworks and agent building architectures
Familiarity with prompt engineering and LLM optimisation techniques
Proven track record of building and deploying production-ready ML systems
Strong programming skills in Python and experience with modern ML frameworks
Experience with distributed systems and microservices architecture
Excellent problem-solving skills and ability to work in ambiguous, fast-paced environments
Strong critical thinking skills with the ability to effectively evaluate and critique technical solutions
Strong communication skills and ability to collaborate effectively withcross-functional teams



Strong Candidates May Also Have 

Experience with orchestration systems or workflow management platforms
Strong knowledge of cloud architecture principles and best practices (particularly AWS)
Proficiency in deep learning frameworks like PyTorch or TensorFlow
Experience with end-to-end LLM training and fine-tuning
Experience with real-time systems and event-driven architectures
Knowledge of AI safety and alignment principles
Background in reinforcement learning or multi-agent systems
Experience with graph databases and knowledge graphs
Contributions to open-source projects or research publications in relevant fields



You don’t need 100% of the above experience to be a good match!
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