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- Tasks: Lead the design and implementation of cutting-edge AI platforms and systems.
- Company: Join a company dedicated to personalized learning solutions that boost student confidence.
- Benefits: Enjoy a fully remote role with a competitive salary and equity options.
- Why this job: Be at the forefront of AI innovation while mentoring a talented team in a supportive culture.
- Qualifications: 7+ years in software engineering, with strong expertise in ML/AI and Python.
- Other info: Ideal for those passionate about building scalable AI systems and advancing their careers.
The predicted salary is between 64000 - 96000 £ per year.
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 tom@enigma-rec.ai for immediate consideration.
Lead Artificial Intelligence Engineer | RAG | NLP | LLM | Python | Remote, UK
Enigma | Lead Artificial Intelligence Engineer | RAG | NLP | LLM | Python | Remote, UK employer: Enigma
Contact Detail:
Enigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enigma | Lead Artificial Intelligence Engineer | RAG | NLP | LLM | Python | Remote, UK
✨Tip Number 1
Make sure to showcase your experience with large language models and multimodal AI systems in your conversations. Highlight specific projects where you've successfully implemented these technologies, as this will resonate well with our team's focus.
✨Tip Number 2
Familiarize yourself with the latest trends in cloud-based AI platforms and agent development frameworks. Being able to discuss recent advancements or tools like LangChain can set you apart during technical discussions.
✨Tip Number 3
Prepare to demonstrate your leadership skills and mentoring experience. We value candidates who can guide teams and contribute to a collaborative environment, so think of examples that highlight your ability to lead and inspire others.
✨Tip Number 4
Engage with the AI community by contributing to open-source projects or sharing your research. This not only showcases your expertise but also aligns with our commitment to innovation and collaboration in the field.
We think you need these skills to ace Enigma | Lead Artificial Intelligence Engineer | RAG | NLP | LLM | Python | Remote, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML systems, particularly focusing on your proficiency in Python and frameworks like PyTorch or TensorFlow. Emphasize any leadership roles and projects related to autonomous agent platforms.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the company's mission of delivering personalized learning solutions. Mention specific experiences that demonstrate your expertise in multimodal AI systems and agent development.
Showcase Relevant Projects: Include links to any published research, open-source contributions, or personal projects that showcase your skills in building and deploying production-grade AI systems. Highlight your experience with RAG architectures and model optimization.
Prepare for Technical Questions: Be ready to discuss your technical expertise in detail during the interview process. Prepare examples of how you've implemented AI solutions, optimized workflows, and mentored team members in previous roles.
How to prepare for a job interview at Enigma
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with large language models, multimodal AI systems, and distributed computing. Highlight specific projects where you architected or implemented production-grade autonomous agent platforms.
✨Demonstrate Leadership Skills
Since this role involves mentoring team members, share examples of how you've led technical teams in the past. Discuss your approach to conducting technical design reviews and fostering a collaborative environment.
✨Prepare for Technical Questions
Expect in-depth questions about Python, AI/ML frameworks like PyTorch or TensorFlow, and your experience with agent development frameworks. Be ready to explain your process for fine-tuning models and optimizing hyperparameters.
✨Discuss Your Contributions to the Field
If you have published research or contributed to open-source projects, make sure to bring these up. This demonstrates your commitment to the field and can set you apart from other candidates.
