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- Tasks: Lead the design and implementation of cutting-edge AI agent platforms.
- Company: Join a company dedicated to personalized learning solutions for student success.
- Benefits: Enjoy a fully remote role with competitive salary and equity options.
- Why this job: Be at the forefront of AI innovation while mentoring a talented team.
- Qualifications: 7+ years in software engineering, with strong ML/AI expertise required.
- Other info: Ideal for those passionate about shaping the future of AI technology.
The predicted salary is between 64000 - 96000 £ per year.
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.
Artificial Intelligence Engineer | RAG | NLP | LLM | Python | Remote, UK
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 Artificial Intelligence Engineer | RAG | NLP | LLM | Python | Remote, UK
✨Tip Number 1
Make sure to showcase your hands-on experience with large language models and multimodal AI systems during any discussions. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to lead in this role.
✨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 you've used can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with MLOps practices and how you've monitored and optimized production ML pipelines. This knowledge is crucial for ensuring operational safety and performance in the role.
✨Tip Number 4
If you have published research or contributed to open-source projects, be ready to share these experiences. They not only highlight your expertise but also show your commitment to the AI community, which is highly valued in this position.
We think you need these skills to ace 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 and 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 large language models and multimodal AI systems.
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 to explain your experience with agent development frameworks, cloud-based AI platforms, and MLOps practices, as well as your approach to fine-tuning models.
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've architected or implemented production-grade autonomous agent platforms.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your ability to optimize workflows and fine-tune models. Prepare examples of challenges you've faced in previous roles and how you overcame them using Python and AI frameworks.
✨Discuss Your Leadership Experience
Since the role involves mentoring team members, be ready to share your leadership experiences. Talk about how you've guided teams in technical design reviews and contributed to their professional growth.
✨Prepare for Behavioral Questions
The company values strong communication skills and collaboration. Think of examples that demonstrate your ability to work effectively in a team, handle feedback, and communicate complex ideas clearly.
