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- Tasks: Join us as an AI Engineer, focusing on backend development and AI/ML integration.
- Company: Be part of a dynamic team at a leading telecommunications company.
- Benefits: Enjoy competitive pay and the chance to work with cutting-edge technologies.
- Why this job: This is your chance to innovate in AI while working in a fast-paced environment.
- Qualifications: 5+ years in backend development with expertise in distributed systems and APIs required.
- Other info: Immediate interviews available; send your CV to get started!
The predicted salary is between 43200 - 72000 £ 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.
AI Engineer employer: Finster AI
Contact Detail:
Finster AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Make sure to highlight your backend development experience prominently. Since the role requires 5+ years, be specific about the projects you've worked on and the technologies you've used.
✨Tip Number 2
Showcase your expertise in distributed systems and APIs. Prepare examples of how you've integrated AI/ML into your previous projects, as this is a key requirement for the position.
✨Tip Number 3
If you have experience in the telecommunications industry, make sure to mention it. This is preferred knowledge that could set you apart from other candidates.
✨Tip Number 4
Familiarize yourself with multi-lingual language processing systems. If you have any relevant experience or projects, be ready to discuss them during the interview process.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 5+ years of backend development experience in your CV. Detail your expertise in distributed systems, APIs, and any AI/ML integration projects you've worked on.
Showcase Your Passion for AI: In your application, express your enthusiasm for cutting-edge AI technologies. Mention any specific projects or experiences that demonstrate your passion and knowledge in this area.
Include Telecommunications Experience: If you have experience in the telecommunications industry, be sure to include it in your CV. This is a preferred qualification, so highlight any relevant roles or projects.
Tailor Your Application: Customize your CV to align with the job description. Use keywords from the job listing, such as 'multi-lingual language processing systems' and 'ML concepts', to ensure your application stands out.
How to prepare for a job interview at Finster AI
✨Showcase Your Backend Development Experience
Make sure to highlight your 5+ years of backend development experience during the interview. Be prepared to discuss specific projects where you implemented distributed systems and APIs, as this will demonstrate your technical expertise.
✨Demonstrate Your Passion for AI Technologies
Express your enthusiasm for cutting-edge AI technologies. Share any personal projects or research you've done in the field of AI/ML integration, as this will show your commitment and passion for the industry.
✨Familiarize Yourself with ML Concepts
Brush up on key machine learning concepts and terminology before the interview. Being able to speak confidently about these topics will help you stand out as a knowledgeable candidate.
✨Highlight Relevant Industry Experience
If you have experience in the telecommunications industry or knowledge of multi-lingual language processing systems, make sure to mention it. This could give you an edge over other candidates, especially since it's preferred for this role.
