Lead Artificial Intelligence Engineer | RAG | NLP | LLM | Python | Remote, UK
The company is committed to delivering personalized learning solutions aimed at fostering student confidence and academic achievement. It focuses on creating an environment where learners can monitor progress, celebrate milestones, and benefit from high-quality, accurate content.
This role seeks a seasoned Lead AI Engineer to spearhead the design and implementation of production-grade autonomous agent platforms. The position demands a blend of technical expertise in large language models, multimodal AI systems, and distributed computing, paired with hands-on experience in deploying scalable AI agents.
Responsibilities
- Architect and implement production-ready autonomous agent platforms.
- Develop and integrate multimodal AI systems capable of processing text, vision, and other sensory inputs.
- Leverage cloud-based AI platforms for architecture and deployment.
- Optimize agent workflows using frameworks such as LangChain.
- Perform fine-tuning and optimization of models for specific applications.
- Design robust evaluation frameworks to assess agent performance and ensure operational safety.
- Conduct technical design reviews and mentor team members.
Required Skills
- At least 7 years of software engineering experience, with 4+ years focusing on ML/AI systems.
- Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
- Extensive experience with agent development frameworks and cloud-based AI platforms.
- Expertise in prompt engineering and large language model (LLM) optimization.
- Proven ability to fine-tune models and optimize hyperparameters.
- Experience in building and deploying production ML pipelines.
- Familiarity with vector databases and semantic search systems.
- Understanding of MLOps practices and monitoring systems.
- Comprehensive knowledge of transformer architectures and attention mechanisms.
- Expertise in multimodal AI systems and data fusion techniques.
- Strong foundation in reinforcement learning and agent-based systems.
- Familiarity with LLM alignment techniques and associated safety considerations.
- Understanding of semantic parsing and natural language understanding.
- Experience with Retrieval Augmented Generation (RAG) architectures.
Additional Qualifications
- Advanced degree (MS or PhD) in Computer Science, AI, or a related field.
- Demonstrated leadership experience, including mentoring technical teams.
- Strong skills in system design and architecture.
- Exceptional written and verbal communication skills.
- Published research or significant contributions to open-source projects are highly valued.
- Familiarity with microservices architecture and distributed systems.
Required Experience
- Proven experience in building and deploying production-grade agent systems.
- Hands-on expertise in model fine-tuning and optimization.
- Track record of deploying large-scale AI systems.
- Experience in real-time inference and optimization.
Preferred Experience
- Contributions to open-source projects in agent frameworks.
- Background in custom model development and training.
- Knowledge of cognitive architectures or autonomous systems.
- Familiarity with multi-agent systems and coordination protocols.
£80,000 - £120,000 per annum plus equity
Fully remote anywhere in the UK
Permanent position
If you are interested in finding out more about this hire please reach out to for immediate consideration.
Lead Artificial Intelligence Engineer | RAG | NLP | LLM | Python | Remote, UK
