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- Tasks: Develop AI tools that turn plain language into actionable data insights and visualisations.
- Company: Join a forward-thinking company expanding its AI capabilities and innovation.
- Benefits: Enjoy a competitive salary, remote work options, and a culture of continuous learning.
- Why this job: Be part of a team shaping the future of AI-powered applications with cutting-edge technology.
- Qualifications: MSc or PhD in relevant fields and 5+ years of applied AI experience required.
- Other info: We value diversity and encourage applications from all communities.
The predicted salary is between 43200 - 72000 £ per year.
We are expanding the AI capabilities of our company and are looking to hire a Senior AI Engineer focused on building Data Agents . This role will also involve developing tools to transform plain language questions into actionable insights, including SQL query generation, entity matching, and data visualisations.
If you have a passion for leveraging generative models and are excited about implementing cutting-edge AI solutions, we’d love to have you join our team! You’ll collaborate with experienced developers, data scientists, and product managers to shape the future of AI-powered data applications. We offer a competitive salary and an environment that fosters continuous learning and innovation.
Key Responsibilities
- Develop Data Agents capable of interpreting natural language questions into SQL queries, data insights, and visualisations.
- Create domain-agnostic tools to support the development of Data Agents (e.g., entity matching algorithms).
- Implement and fine-tune large language models (LLMs) for domain-specific data analysis tasks.
- Collaborate with cross-functional teams to integrate Data Agents into our Data and AI Operating System.
- Stay current with the latest AI research and apply novel techniques to solve complex problems.
Requirements
- MSc or PhD in Data Science, AI, ML, or Computer Science.
- 5+ years of experience in applied AI, with a focus on natural language processing and data analysis.
- Experience with generative models, large language models (LLMs), and entity resolution.
- Experience with LangChain or similar frameworks for building language model applications.
- Proficiency in Python and SQL, with strong skills in data manipulation and analysis.
- Expertise in AI frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Ability to effectively communicate complex AI concepts, especially to non-technical stakeholders.
Preferred Qualifications
- Experience with graph databases and knowledge graphs.
- Familiarity with business intelligence tools and data warehousing concepts.
- Background in semantic parsing or natural language-to-SQL translation.
Next Steps
Interested in the vacancy? We encourage a diverse workforce and welcome applications from all communities.
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Contact Detail:
Dystematic Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Data Agents
✨Tip Number 1
Network with professionals in the AI and data science fields. Attend industry conferences, webinars, or local meetups to connect with people who work at StudySmarter or similar companies. This can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Showcase your projects related to natural language processing and data analysis on platforms like GitHub. Having a portfolio that demonstrates your experience with generative models and SQL query generation can make you stand out during the interview process.
✨Tip Number 3
Stay updated on the latest trends and research in AI, especially around large language models and entity resolution. Being able to discuss recent advancements and how they can be applied to our work at StudySmarter will show your passion and expertise.
✨Tip Number 4
Prepare to discuss your experience with frameworks like LangChain and your proficiency in Python and SQL. Be ready to explain how you've used these tools in past projects, as practical examples can greatly enhance your candidacy.
We think you need these skills to ace Senior AI Engineer - Data Agents
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI, natural language processing, and data analysis. Emphasise your proficiency with Python, SQL, and any relevant frameworks like LangChain or TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the role. Mention specific projects where you've developed Data Agents or worked with generative models to showcase your expertise.
Showcase Relevant Projects: Include a portfolio or links to projects that demonstrate your skills in building AI applications, especially those involving SQL query generation and data visualisations. This will help illustrate your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to AI frameworks, large language models, and data manipulation. Be ready to discuss your approach to solving complex problems and how you stay updated with the latest AI research.
How to prepare for a job interview at Dystematic Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with generative models, large language models, and frameworks like LangChain. Bring examples of past projects where you successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Communicate Complex Concepts Simply
Since the role involves explaining AI concepts to non-technical stakeholders, practice articulating your ideas clearly and concisely. Use analogies or simple terms to make complex topics more accessible.
✨Demonstrate Collaborative Spirit
Highlight your experience working in cross-functional teams. Share specific examples of how you collaborated with developers, data scientists, and product managers to achieve project goals, as teamwork is crucial for this position.
✨Stay Updated on AI Trends
Research the latest advancements in AI and be ready to discuss how they could apply to the role. Showing that you are proactive about staying current with industry trends will reflect your passion for continuous learning and innovation.
