Applied AI Engineer
New Today
Overview
Arva AI is revolutionising compliance with our cutting-edge AI Agents for business verification. By automating human manual review compliance tasks, we help financial services onboard businesses faster and reduce operational costs by 80%.
Role
As the Applied AI Engineer, you’ll play a pivotal role in integrating advanced AI technologies into our systems, fine-tuning models, and shaping the future of AI-powered compliance solutions at Arva.
Responsibilities
- Integrate AI tools and technologies seamlessly into our codebase to enhance functionality and performance.
- Design and implement prompt engineering techniques to optimise AI outputs for real-world applications.
- Fine-tune pre-trained models and train custom models for specific business needs, including vision models.
- Collaborate with cross-functional teams to ensure AI solutions align with product and business goals.
- Drive innovation in AI applications, exploring cutting-edge techniques and tools to maintain a competitive edge.
What You’ll Do
- AI Integration: Build and deploy AI solutions that integrate with our existing infrastructure, ensuring scalability and efficiency.
- Prompt Engineering: Develop and test prompts to optimise model performance and deliver high-quality outputs.
- Model Fine-Tuning: Adapt and fine-tune large language models and vision models for specific use cases.
- Custom Model Training: Train and deploy bespoke AI models tailored to solve unique compliance challenges.
- Innovation: Stay ahead of the curve by researching and implementing the latest advancements in AI technology.
- Collaboration: Work closely with the engineering and product teams to translate customer needs into actionable AI solutions.
- Iterate: Continuously iterate on our AI systems to improve performance, reduce errors, and deliver value to customers.
Our Culture
- Deliver Value Fast: Speed + ownership is our superpower. We value action over perfection, and we own the outcomes.
- Customer First, Team Second, Self Last: We create value for customers and foster a growth-oriented team environment.
- Transparency: We practice open communication and full visibility across teams and roles.
What We’re Looking For
- Experience: 3+ years in applied AI, ML engineering, or related roles, with a strong track record of delivering AI solutions.
- Technical Expertise: Proficient in Python, TensorFlow/PyTorch, and deep learning frameworks. Experience with integrating AI models into production codebases.
- AI Skills: Hands-on experience with prompt engineering, fine-tuning pre-trained models, and training custom models, including vision models.
- Product Mindset: Strong understanding of how AI can solve real-world problems, with a focus on customer needs.
- Research Orientation: Ability to stay updated with the latest advancements in AI and apply them effectively.
- Collaboration: Excellent communication skills to work across teams and explain complex AI concepts to non-technical stakeholders.
- Ownership: A proactive, problem-solving mindset with the ability to take full responsibility for projects and outcomes.
- Growth-Oriented: Excited to learn new skills, tackle challenges, and adapt as the company scales.
Why Join Us
- Be part of an early-stage startup with significant ownership and influence over the AI strategy.
- Work on cutting-edge AI technologies that transform how businesses operate.
- Collaborate with a passionate, mission-driven team dedicated to innovation.
- Work from anywhere in the world for 4 weeks a year, in addition to regular team offsites.
- Competitive salary and equity package, with bi-annual salary review and yearly performance based equity refresh.
How to Apply
Ready to Build the Future of AI-Powered Compliance? If you’re excited to shape the future of compliance with state-of-the-art AI solutions, we’d love to hear from you. Apply now to become an Arvanaut as our Applied AI Engineer.
London, England, United Kingdom
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- Location:
- England, United Kingdom
- Salary:
- £80,000 - £100,000
- Job Type:
- FullTime
- Category:
- IT & Technology