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- Tasks: Design and build AI-driven solutions for investment research.
- Company: Join a dynamic startup founded by ex-Google DeepMind talent.
- Benefits: Be part of a rapidly expanding team with innovative projects.
- Why this job: Make a direct impact on cutting-edge AI solutions in finance.
- Qualifications: Degree in Computer Science or relevant experience; strong programming skills required.
- Other info: Opportunity to collaborate with top-tier professionals from leading tech companies.
The predicted salary is between 36000 - 60000 £ per year.
At Finster AI, we’re building an AI-native platform for investment research. We were founded in late 2023 by Sid Jayakumar, who had previously spent 7 years at Google DeepMind, and brought together a team with experience across startups and the breadth of financial services and leading AI labs. Our team has worked at places including Google DeepMind, JP Morgan and Meta AI and we’re rapidly expanding while working with early customers. We raised a Pre-Seed in December 2023 from Hoxton Ventures, early backers of Deliveroo and Darktrace and will be announcing our Seed raise shortly.
We’re building a well-rounded team with multi-disciplinary expertise across product, AI, finance, UI/UX, and engineering to help in our goal of building AI agents that can read, analyse and integrate disparate sources of financial and market data. We’re building for the distinct demands of institutional investors, with accuracy, reliability and privacy at the core of our product.
As an AI Engineer at Finster AI, you will play a key role in designing, building, and integrating AI-driven solutions that power our platform. You’ll work on developing and deploying machine learning models, optimizing performance, and ensuring seamless integration with our microservices-based architecture. This role will give you the opportunity to make a direct impact on the intelligence, reliability, and scalability of our platform, collaborating closely with back-end, data, and product teams to deliver cutting-edge AI solutions.
Key Responsibilities:
- Work on building scalable multi-modal LM based AI agents
- Research and build innovative solutions to Finster relevant AI problems including RAG, semantic search, knowledge representation, tool user, fine-tuning and reasoning in LLMs
- Research and build evaluations, metrics, benchmarks for Finster relevant AI problems
- Present innovative solutions through POCs and demos and convert solutions into high-quality production ready code
- Collaborate with other engineers, product managers, designers and team members to innovate, design and build
You may be a good fit if you:
- Have a degree in Computer Science or relevant fields or relevant experience
- Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow
- Have strong familiarity and knowledge of machine learning concepts
- Have familiarity with ML related maths like linear algebra, probability and statistics, multivariate calculus
- Have strong communication and presentation skills (discussion, brainstorming ideas, technical research writing etc.)
It would be great if you also have:
- Familiarity with recent developments and literature on Large Language Models and AI agents
- Experience in industrial research through industrial research internships or AI/ML engineering roles
- Experience writing production ready code
- Experience in academic research as evidenced through research projects, publications etc.
Finster AI | AI Engineer employer: Finster AI
Contact Detail:
Finster AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finster AI | AI Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in AI and machine learning, especially in the context of large language models. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the AI community by attending relevant meetups, webinars, or conferences. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for positions at Finster AI.
✨Tip Number 3
Prepare to discuss your previous projects and experiences in detail, particularly those that involve Python and deep learning frameworks like PyTorch or TensorFlow. Be ready to explain your thought process and the impact of your work.
✨Tip Number 4
Showcase your ability to collaborate effectively by sharing examples of past teamwork experiences. Highlight how you contributed to group projects, especially in cross-functional teams, as this aligns with the collaborative culture at Finster AI.
We think you need these skills to ace Finster AI | AI Engineer
Some tips for your application 🫡
Understand the Company: Dive deep into Finster AI's mission and values. Familiarize yourself with their AI-native platform for investment research and the specific challenges they aim to solve in the financial sector.
Tailor Your CV: Highlight your relevant experience in AI and machine learning, especially any work with Python-based frameworks like Pytorch or Tensorflow. Make sure to showcase any projects or roles that align with the responsibilities listed in the job description.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for AI and finance. Discuss how your skills and experiences make you a perfect fit for the role and how you can contribute to Finster AI's goals.
Showcase Your Projects: If you have worked on relevant projects, especially those involving large language models or AI agents, be sure to mention them. Include links to your GitHub or portfolio to demonstrate your coding skills and innovative solutions.
How to prepare for a job interview at Finster AI
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience, especially with Python and deep learning frameworks like PyTorch or TensorFlow. Highlight specific projects where you've implemented machine learning models and how you optimized their performance.
✨Demonstrate Your Knowledge of AI Concepts
Familiarize yourself with the latest developments in Large Language Models and AI agents. Be ready to discuss relevant literature and how it applies to the role at Finster AI, showcasing your understanding of machine learning concepts and mathematics.
✨Prepare for Collaborative Discussions
Since collaboration is key at Finster AI, practice discussing your ideas clearly and concisely. Be ready to brainstorm solutions with potential team members and demonstrate your ability to work well in a multi-disciplinary environment.
✨Present Innovative Solutions
Think of examples where you've turned innovative ideas into practical applications. Prepare to present these as proof of concept (POC) or demos, and explain how you would convert these solutions into high-quality production-ready code.
