At a Glance
- Tasks: Develop and implement cutting-edge AI models and algorithms in a collaborative environment.
- Company: Join Writer, a top AI platform transforming enterprise productivity with innovative solutions.
- Benefits: Enjoy generous PTO, health coverage, flexible spending accounts, and wellness stipends.
- Why this job: Be part of a dynamic team revolutionising AI applications and making a real impact.
- Qualifications: Bachelor's degree in relevant field and 5+ years in software engineering and AI/ML development required.
- Other info: Remote work options available; we value diversity and inclusion in our hiring process.
The predicted salary is between 43200 - 72000 £ per year.
Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Our all-in-one solution makes it easy to deploy customized AI apps and workflows that accelerate growth, increase productivity, and ensure compliance. Writer’s suite of development tools is supported by Palmyra – Writer’s state-of-the-art family of LLMs – alongside our industry-leading graph-based RAG and customizable AI guardrails.
Writer is looking for an AI engineer with a strong software engineering background to join our expanding team of AI experts. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI Engineer at Writer, you will play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms.
Your responsibilities:
- Collaborate closely with our broader engineering team, data scientists, and AI engineers to evolve our software architecture as we productize new AI-powered capabilities.
- Evaluate the performance of AI models & systems through rigorous testing and experimentation.
- Deploy LLM-based applications in production, evaluating and improving their performance over time.
- Collaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production systems, ensuring scalability and efficiency.
- Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.
- Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions.
- Own the design, implementation, and maintenance of robust and scalable production retrieval and agentic systems.
- Implement strong testing and CI/CD practices that help us move with confidence in our AI system development.
Is this you?
- Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience.
- High level of coding proficiency using Python.
- 5+ years of professional experience in software engineering, AI/ML development including:
- Proficiency with production software (Python) and systems design.
- Machine learning algorithms and model development techniques.
- ML lifecycle tools like MLflow, dvc, weights & biases.
- Cloud deployment of ML systems.
- Professional experience with LLMs and large-scale models.
- Very strong software engineering skills with a track record of building scalable, distributed product machine learning systems.
- Strong analytical and problem-solving skills.
- Ability to communicate complex ideas and concepts effectively.
- Ability to work independently and collaboratively.
Preferred Skills:
- Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc.
- Depth of knowledge with RAG implementation and improvements.
Benefits & perks:
- Generous PTO, plus company holidays.
- Medical, dental, and vision coverage for you and your family.
- Paid parental leave for all parents (12 weeks).
- Fertility and family planning support.
- Early-detection cancer testing through Galleri.
- Flexible spending account and dependent FSA options.
- Health savings account for eligible plans with company contribution.
- Annual work-life stipends for: Home office setup, cell phone, internet.
- Wellness stipend for gym, massage/chiropractor, personal training, etc.
- Learning and development stipend.
- Company-wide off-sites and team off-sites.
- Competitive compensation, company stock options and 401k.
Writer is an equal-opportunity employer and is committed to diversity.
AI Engineer (UK) employer: Genai Works
Contact Detail:
Genai Works Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (UK)
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly in NLP and LLMs. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the AI community by attending meetups, webinars, or conferences. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your coding skills by contributing to open-source projects or building your own AI applications. This practical experience can set you apart from other candidates and highlight your problem-solving abilities.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems related to AI and ML. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace AI Engineer (UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and software engineering. Focus on relevant projects, particularly those involving NLP and ML technologies, and showcase your proficiency in Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can transform enterprises. Mention specific experiences that demonstrate your problem-solving skills and ability to work collaboratively with diverse teams.
Showcase Relevant Projects: Include a section in your application that details any significant projects you've worked on related to AI, ML, or LLMs. Highlight your role, the technologies used, and the impact of these projects.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed in AI or machine learning. This shows your commitment to staying updated with the latest advancements in the field.
How to prepare for a job interview at Genai Works
✨Showcase Your Technical Skills
Be prepared to discuss your coding proficiency in Python and your experience with machine learning algorithms. Bring examples of past projects where you've successfully implemented AI solutions, especially those involving LLMs or cloud deployment.
✨Understand the Company’s Products
Familiarise yourself with Writer's generative AI platform and its applications. Understanding how their technology transforms enterprise operations will help you articulate how your skills can contribute to their mission.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your analytical skills and your approach to testing and improving AI models, as this aligns with the responsibilities of the role.
✨Communicate Effectively
Practice explaining complex AI concepts in simple terms. Since collaboration with cross-functional teams is key, showing that you can communicate clearly will demonstrate your ability to work well within their diverse team.