At a Glance
- Tasks: Build innovative AI solutions and collaborate with a world-class team.
- Company: Join a cutting-edge firm redefining finance with AI technology.
- Benefits: Competitive salary, growth opportunities, and exposure to top-tier clients.
- Why this job: Shape the future of AI in finance and make a real impact.
- Qualifications: Degree in Computer Science and strong programming skills required.
- Other info: Fast-paced environment with exceptional team collaboration.
The predicted salary is between 43200 - 72000 £ per year.
We're a Series A stage firm, redefining the future of finance with our AI-native research and task automation platform, backed by leading, global venture investors. Founded by a team of experts from Google DeepMind, Meta AI, and J.P. Morgan, Finster AI provides cutting-edge solutions to help finance professionals unlock unique insights with greater efficiency and accuracy.
The Role
- 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, function calling, 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
Who You Are
- A degree in Computer Science or relevant fields
- A strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow
- Experience writing production ready code
- Familiarity with recent developments and literature on Large Language Models and AI agents
- Knowledge of core machine learning concepts and ML related maths like linear algebra, probability and statistics, multivariate calculus
- Strong communication and presentation skills (discussion, brainstorming ideas, technical research writing etc)
Nice-to-haves
- Experience in industrial research through industrial research internships or previous AI/ML engineering roles
- Experience in academic research as evidenced through research projects or publications.
You Will Thrive Here If You
- Are comfortable being challenged and feel at home with ambiguity and rapid change.
- Enjoy working in an entrepreneurial, fast-paced environment where priorities can shift and new opportunities emerge quickly.
- Highly collaborative and are an effective communicator.
Why Finster
- Impact: As an early-stage company, you'll be part of the team shaping the commercial and operational foundation of one of the most exciting AI platforms in financial services.
- Exposure: You'll work directly with senior leadership and clients at Tier 1 investment banks and asset managers.
- Growth: Be part of a company scaling rapidly after Series A, with opportunities to grow the scope and responsibility of your role.
- Exceptional team: We are a world class team that combines expertise from AI labs (Google DeepMind, Meta AI) with leading Financial institutions (Morgan Stanley, J.P. Morgan, Rothschild & Co, Aviva Investors, Visible Alpha, Revolut).
- Culture: We deeply value collaboration, intellectual curiosity, disagreement and high performance.
Senior AI Engineer (London) London employer: Finster AI, Inc.
Contact Detail:
Finster AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer (London) London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Finster AI or similar companies. Use LinkedIn to connect and engage with them; you never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and finance. This is your chance to demonstrate your programming prowess and innovative solutions—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly and confidently, as communication is key in collaborative environments like ours.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our exciting journey at Finster AI.
We think you need these skills to ace Senior AI Engineer (London) London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your programming experience, especially with Python and deep learning frameworks, to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI in finance. Share specific examples of your work and how it relates to the innovative solutions we’re looking for at Finster AI.
Showcase Your Projects: If you've worked on relevant AI projects or research, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build scalable AI solutions and your familiarity with LLMs.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of AI in finance!
How to prepare for a job interview at Finster AI, Inc.
✨Know Your AI Stuff
Make sure you brush up on the latest developments in AI, especially around Large Language Models and multi-modal systems. Be ready to discuss your experience with Python frameworks like PyTorch or TensorFlow, and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific AI problems you've tackled in the past. Think of examples where you've built innovative solutions or conducted research that led to significant improvements. Highlight your ability to convert ideas into production-ready code.
✨Communicate Clearly
Strong communication is key! Practice explaining complex concepts in a simple way. You might be asked to present your ideas or findings, so being able to articulate your thoughts clearly will set you apart from other candidates.
✨Embrace the Challenge
Finster AI thrives on innovation and rapid change. Be prepared to discuss how you handle ambiguity and shifting priorities. Share examples of how you've adapted in fast-paced environments and contributed to collaborative projects.