At a Glance
- Tasks: Build and ship innovative AI features that transform everyday tasks.
- Company: Exciting startup focused on developing a pre-launch AI assistant.
- Benefits: Equity options and the chance to shape a groundbreaking product.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Join a small, talented team and make a real impact in AI.
- Qualifications: Experience in AI/ML applications and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
Описание: The company is building a pre-launch AI assistant designed to streamline everyday tasks, conversations, and workflows.
Задачи
- Build and ship AI features from concept through to production
- Design and improve agent workflows, prompts, memory, and tool use
- Build reliable AI systems that solve real user problems
- Improve latency, reliability, and overall production performance
- Develop evaluation frameworks to measure real-world model quality
- Work closely with Product and Engineering to turn ambiguous problems into working software
Требования
- Commercial experience building production AI/ML applications
- Strong Python engineering skills
- Experience with modern LLMs and agentic AI systems
- Hands-on experience with RAG, vector databases, and LLM orchestration
- Experience deploying and operating production ML systems
- Comfort working across models, infrastructure, and product
Условия
- Equity options
- Opportunity to shape a pre-launch product
- Work with a small, high-calibre engineering team
- #J-18808-Ljbffr
ai engineer employer: Enfint
AJ Bell is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to mentor junior designers while working on impactful design systems that prioritise accessibility and usability. Enjoy a supportive environment that values proactive communication and offers unique benefits tailored to enhance your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land ai engineer
✨Get Involved in Data Science Meetups
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ai engineer at Enfint.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Enfint.
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When you find a suitable opening like ai engineer at Enfint, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace ai engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Enfint, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Enfint. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Enfint
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Enfint!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
