AI Engineer
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
Offer value
Very high value score attributed to the unique opportunity of impacting AI training with human data and collaboration with top AI labs.
- Unique opportunity to work with the largest human data platform
- Strong collaborative culture with AI industry leaders
- Focus on innovative solutions in AI development
Pros
- Pioneering work with human data infrastructure leading to real-world AI innovations.
- Collaborative environment with leading AI teams.
- Strong emphasis on personal development and problem-solving.
Cons
- High-performance expectations can lead to pressure.
- Limited specifics on compensation.
- May involve navigating complex technical decisions.
Who it's for
Senior Engineer • Remote
Good fit
- Senior AI engineers with ML experience
- Innovative tech leaders eager to impact AI ethics
- Professionals comfortable with rapid problem-solving
Not recommended for
- Recent graduates or less experienced applicants
- Candidates preferring structured roles
- Those not interested in pioneering AI methods
Motivation fit
Key skills
About the job
Lead AI Engineer
Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.
The Role
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 the teams pushing the boundaries of AI technology.
As an AI Engineer, you'll be building the intelligent systems that power the crucial interface between humans and models. You will be instrumental in 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.
What You’ll Be Doing
- 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 sophisticated 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, all the way to experimental ideas such as synthetic personas.
- Drive Technical Strategy: Provide technical leadership and mentorship on the practical application of AI/LLM techniques, defining best practices for everything from prompt engineering to fine-tuning and RAG.
- Ensure Reliability: Implement and own LLM observability and evaluation systems to ensure our AI features are reliable, performant, and continuously improving.
- Collaborate Cross-Functionally: Work closely with data scientists, platform engineers, and research teams to build cohesive, end-to-end solutions that push the boundaries of human-AI interaction.
Who We're Looking For
Core Requirements:
- A strong track record of designing, building, and shipping AI-powered features that have solved real business problems.
- An inquisitive and experimental mindset, with a passion for tackling ambiguous problems that may not have established solutions.
- Deep practical knowledge of the modern AI engineering stack (e.g., RAG, vector databases, prompt engineering, fine-tuning techniques, and evaluation frameworks).
- The ability to thoughtfully balance cutting-edge research with the practical constraints of production reliability and scalability.
Deep expertise in one or both of the following areas:
- Software Engineering & Systems Design: Expertise in Python and experience building scalable services (e.g., using FastAPI, Django). You have a strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment.
- Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use.
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 reinforcement learning from human feedback (RLHF).
- An 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 unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity.
Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.
Links to more information on Prolific
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