Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and optimise AI systems for financial decision-making.
- Company: Join a high-growth AI start-up backed by top VCs.
- Benefits: Enjoy a competitive salary, equity options, and fully remote work.
- Why this job: Be part of an innovative team shaping the future of finance with AI.
- Qualifications: 2+ years in AI systems, 4+ years in software engineering, strong Python skills.
- Other info: Work on cutting-edge technology in a dynamic, supportive environment.
The predicted salary is between 120000 - 160000 £ per year.
£120-£160k salary + equity
Remote (Europe)
Significant seed-funding. Evoke is partnered with a high-growth AI start-up to help them hire a fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems.
The role:
- Evolve and extend intelligent agent systems for advanced decision-making tasks
- Design and implement dynamic memory architectures to support contextual reasoning
- Build goal-setting and planning mechanisms that increase agent autonomy and adaptability
- Optimize LLM prompt strategies and orchestration workflows for high-complexity domains
- Fine-tune and adapt models for domain-specific expertise and use cases
- Architect scalable systems capable of supporting large amounts of users making mission-critical decisions
What you’ll need:
- 2+ years of experience developing and deploying AI-driven agent systems in production environments
- 4+ years of professional software engineering experience
- Deep understanding of memory management and context handling within AI systems
- Strong proficiency in Python, with additional experience in TypeScript
- Hands-on experience building RAG pipelines
- Advanced skills in prompt design and optimization
- Experience working with orchestration frameworks for language models
Senior AI Engineer (Remote) employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer (Remote)
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in multi-agent systems and LLMs. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the AI community, especially those who have experience in financial technology. Engaging in discussions on platforms like LinkedIn or attending relevant webinars can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare to showcase your previous projects that involved designing and deploying AI systems. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 4
Stay updated on the tools and technologies mentioned in the job description, such as Azure, AWS, and LangChain. Having hands-on experience or even personal projects using these technologies can set you apart from other candidates.
We think you need these skills to ace Senior AI Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI-driven agent systems, Python, and any relevant technologies mentioned in the job description. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and financial technology. Explain why you are interested in this role and how your background aligns with the company's mission and goals.
Showcase Relevant Projects: Include details about specific projects you've worked on that relate to the responsibilities of the role. Highlight your experience with multi-agent systems, memory architectures, and any orchestration frameworks you've used.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, TypeScript, and AI systems in detail. Highlight specific projects where you've designed and deployed multi-agent AI systems, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Vision
Research the AI start-up's mission and the financial management platform they are developing. Being able to articulate how your skills align with their goals will show your genuine interest in the role and the company.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your ability to solve complex problems related to AI architecture and memory management. Practice explaining your thought process clearly, as this will be crucial in demonstrating your analytical skills.
✨Discuss Your Experience with LLMs and RAG
Since the role involves optimising LLM prompt strategies and building RAG pipelines, be ready to share your experiences and any challenges you've faced. This will showcase your depth of knowledge and practical application in high-complexity domains.
