At a Glance
- Tasks: Build intelligent AI systems that enhance human feedback collection and validation.
- Company: Prolific, a leader in human data infrastructure for AI development.
- Benefits: Competitive salary, remote work, and a mission-driven environment.
- Why this job: Join the forefront of AI innovation and make a real impact on technology.
- Qualifications: Experience in AI engineering, software development, and machine learning.
- Other info: Collaborate with top teams and contribute to groundbreaking research.
The predicted salary is between 36000 - 60000 £ per year.
Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that reshapes AI development. In a world where foundational AI technologies are increasingly commoditized, the quality and diversity of human-generated data differentiate products and models. The future of AI development relies on a critical, indispensable component: high-quality human data. Prolific provides the world's largest and most trusted source of this data to teams pushing the boundaries of AI technology.
As an AI Engineer, you will build intelligent systems that power the interface between humans and models, shaping how next-generation AI systems are trained, evaluated, and aligned. This is a unique opportunity to solve novel problems and have a foundational impact on the entire AI ecosystem, working with a world-class team and the industry's leading AI labs.
The Role
Responsibilities and expectations are centered on developing production-grade AI systems that enhance how human feedback is collected, validated, and utilized across our platform.
- Architect & Build: Lead the design and implementation of production-grade AI systems that enhance how human feedback is collected, validated, and utilised across our platform.
- Solve Core Challenges: Develop systems for fraud detection, quality assurance, and intelligent participant-to-task matching using techniques like vector search and advanced profile representation.
- Innovate with LLMs: Create and deploy AI agents and systems with immediate product impact—from basic automated data tagging to advanced features like LLM-based evaluation judges, including ideas like synthetic personas.
- Drive Technical Strategy: Provide technical leadership and mentorship on applying AI/LLM techniques, defining best practices for prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
- Ensure Reliability: Implement and own LLM observability and evaluation systems to ensure AI features are reliable, performant, and continuously improving.
- Collaborate Cross-Functionally: Work with data scientists, platform engineers, and research teams to build cohesive, end-to-end solutions that advance human-AI interaction.
Qualifications
Core Requirements:
- A strong track record of designing, building, and shipping AI-powered features that solve real business problems.
- An inquisitive and experimental mindset with a passion for tackling ambiguous problems without established solutions.
- Deep practical knowledge of the modern AI engineering stack (e.g., RAG, vector databases, prompt engineering, fine-tuning techniques, evaluation frameworks).
- The ability to balance cutting-edge research with production reliability and scalability.
- Deep expertise in one or both of the following areas:
- Software Engineering & Systems Design: Proficiency in Python and building scalable services (e.g., FastAPI, Django). Strong command of system design, infrastructure, and CI/CD; capable of taking a feature from concept to deployment.
- Machine Learning Engineering & Research: Solid ML background with experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and understanding of the theory behind models and techniques used.
Bonus Points
- Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph).
- Experience in agentic system design and tool calling (Adk, A2A, MCP, etc.).
- Prior work on human-in-the-loop systems, data annotation platforms, or RLHF.
- Interest or experience in synthetic data, human-in-the-loop systems, or AI alignment.
- Experience building robust monitoring and observability for AI/ML systems in production.
Why Prolific is a great place to work
We’ve built a platform that connects researchers and companies with a global pool of participants to collect high-quality, ethically sourced human data and feedback. This data underpins more accurate, nuanced, and aligned AI systems. We believe the next leap in AI capabilities will come from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific positions itself at the forefront of the next wave of AI innovation that reflects the breadth of humanity. Joining us places you at the forefront of AI innovation, with access to our unique human data platform and opportunities for groundbreaking research. We offer a competitive salary, benefits, and remote work within a mission-driven environment.
Privacy and Legal
By submitting your application, you agree that Prolific may collect your personal data for recruitment and organizational planning. Prolific’s Candidate Privacy Notice explains what information may be processed, where, purposes for processing, and your rights over your data.
AI Engineer employer: Prolific - UK Job Board?
Contact Detail:
Prolific - UK Job Board? Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether it's through GitHub or a personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use platforms that offer interview prep.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission at Prolific.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with AI systems and any relevant projects you've worked on. We want to see how you've tackled real-world problems using your skills!
Be Authentic: Let your personality shine through in your application! We value inquisitive minds and innovative thinkers, so don’t be afraid to share your unique approach to problem-solving and your passion for AI.
Tailor Your Application: Make sure to customise your application to fit the role of AI Engineer. Mention specific technologies and methodologies from the job description that you’re familiar with, like LLMs or vector databases, to show us you’re a great match.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of AI with us!
How to prepare for a job interview at Prolific - UK Job Board?
✨Know Your AI Stack
Make sure you’re well-versed in the modern AI engineering stack, especially RAG, vector databases, and prompt engineering. Brush up on your Python skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled ambiguous problems in your previous roles. Highlight specific challenges you faced and the innovative solutions you implemented, especially in areas like fraud detection or intelligent task matching.
✨Demonstrate Collaboration
Prolific values cross-functional teamwork, so be ready to discuss how you've collaborated with data scientists, platform engineers, or research teams. Share experiences where your contributions led to cohesive solutions that improved human-AI interaction.
✨Stay Current with AI Trends
Familiarise yourself with the latest trends in AI, particularly around LLMs and synthetic data. Be prepared to discuss how these innovations can impact the industry and how you envision applying them in your role at Prolific.