Portfolio Jobs

Who are we?

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.

Why this role?

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.

Compensation

• Salary: Depending on experience and seniority
• Generous Equity package: When you help build Finster AI, everyone deserves to be an owner.
• Please Note: If your salary expectations look a little different to that outlined, we’d still be keen to hear from you if this is a role that excites you and one that you think you could really excel in.

Benefits at Finster AI

We’re a growing, cross-functional team that values supporting each other's development. As part of the team, you can expect:

• 25 days PTO + bank holidays
• Flexible working - Our flexible work model aims to meet the needs of our diverse employee community by making work more flexible, connected, and inclusive. Depending on the role and needs of the team, Finster AI employees have the flexibility to work from home 2/3 days per week.
• Generous healthcare and dental package

How to apply

If this role sounds like a great fit for you, we’d love to hear from you! Here’s how you can apply:

1. Submit Your Application: Send your resume/CV to [email protected] with the subject line “AI Engineer - [Your Name]”.

2. Tell Us About Yourself: In your email, include a brief introduction that highlights:Why you’re excited about this role and Finster AI. A few key projects or achievements that showcase your relevant experience.

3. Showcase Your Work (Optional): If you have any public repositories, contributions to open-source projects, published research, or a portfolio you’d like us to review, please include links in your application.

We review every application with care and will reach out if your experience aligns with what we’re looking for. Even if you don’t meet every requirement, but you’re passionate about the role and think you could excel, we encourage you to apply!

Next steps

• We aim to respond within 2 weeks of receiving your application.
• If shortlisted, you’ll first speak with our recruitment team. This will be followed by a tailored set of interviews based on the role, assessing your technical skills, culture fit, and giving you the opportunity to meet members of our team.

Thank you for considering Finster AI — we look forward to learning more about you!

At Finster AI we are committed to building an inclusive environment that attracts and retains the best talent from around the globe.  We welcome applicants from different cultural and educational backgrounds and value curiosity, courage and determination to implement new ideas. If you are a self-starter that wants to have an impact on how Finster grows and develops, we want to hear from you. Eagerness to learn, attitude, and enthusiasm are more important than ticking all the boxes. Even if not all desired requirements are met, but you're very excited about the role, get in touch.

Please communicate any reasonable accommodations you may need for your interview to your recruiter