Deployed Engineer: CoEm at Conjecture

At Conjecture, we are pioneering the field of Cognitive Emulation to reshape how leading enterprises interact with artificial intelligence. As a Deployed Engineer, you will join our team in the United Kingdom to act as a technical bridge between our advanced research and real-world client needs. You will function much like the CTO of a small startup, embedding yourself within client organizations to identify challenges and architect bespoke solutions. This role is a unique chance to deploy a new AI paradigm while balancing high-level strategy with hands-on technical execution.

Key outcomes

• Collaborate with Technical Product Managers to translate complex client requirements into functional, high-impact technical solutions.
• Develop and deploy solutions using modern machine learning APIs, including the creation of intuitive front-end interfaces that evolve based on user feedback.
• Conceptualize and build innovative tools and products for enterprise use cases that leverage cutting-edge AI models.
• Maintain a high standard of product design and engineering quality across all deliverables.
• Engineer robust infrastructure for model inference and data visualization.
• Take full ownership of projects from the initial discovery phase through to final delivery, ensuring that every aspect of the solution is addressed beyond just the code.

Requirements

• Proven ability to iterate rapidly on engineering projects and demonstrate strong technical proficiency.
• Excellent communication skills, with a preference for candidates who thrive in high-bandwidth, collaborative environments.
• A proactive, creative, and driven mindset focused on delivering tangible results.
• A track record of building successful products that have been used by a wide audience.
• The versatility to handle both granular tasks, such as debugging, and high-level architectural challenges, such as system refactoring.
• A results-oriented approach that prioritizes impact and efficiency over specific tools or implementation styles.
• Fluency in English and a willingness to travel to client sites for up to 25% of your time.
• Experience working in client-facing B2B environments, specifically taking products from an initial concept to a finished state.

Preferred qualifications

• Experience developing custom technical solutions specifically for enterprise clients.
• Familiarity with PyTorch for machine learning and compute orchestration platforms like Kubernetes.
• Capability to implement novel models or optimization techniques directly from research literature.
• A strong foundational understanding of machine learning and a genuine interest in the future of AI.
• A commitment to the long-term safety and beneficial development of artificial intelligence.

How to apply

If you are ready to take on this challenge and help us build the future of AI, we invite you to reach out to our team. Please submit your application to be considered for this full-time position, and we look forward to discussing how your expertise can contribute to our mission.