At a Glance
- Tasks: Design and implement cutting-edge AI agents for workflow automation and intelligent decision support.
- Company: Dynamic prop-tech business revolutionising the AI landscape.
- Benefits: Competitive pay, fully remote work, and a chance to shape the future of AI.
- Other info: Exciting opportunity for career growth in a production-focused role.
- Why this job: Join a team making real-world impact with autonomous AI in a fast-paced environment.
- Qualifications: 10+ years in software engineering with strong skills in TypeScript/JavaScript and .NET.
The predicted salary is between 81000 - 117000 £ per year.
Up to £900/day (Outside IR35)
6 months contract
UK – Fully Remote
We are working with a UK-based prop-tech business building a production-grade autonomous AI agent platform used by professionals in a high-transaction environment. They are looking for Senior AI Engineers to take a hands-on role in the design and delivery of agentic AI systems, focused on workflow automation, intelligent decision support, and deep integration with an existing commercial platform. This is a delivery-focused contract role with genuine architectural responsibility.
Role Overview
You will design and implement autonomous and semi-autonomous AI agents that operate across customer workflows, ingest transactional data, and generate actionable insights. The work is firmly production-oriented; this is not a research or experimentation role.
Key Responsibilities
- Agentic AI & Automation
- Design and implement AI agent architectures for autonomous task execution
- Build self-learning workflows driven by user interaction and transactional data
- Implement multi-agent patterns and AI-augmented automation (including RPA where appropriate)
- Ensure security, data isolation and compliance are embedded at platform level
- AI-Driven Insights
- Develop systems for customer data analysis, trend detection and anomaly identification
- Deliver practical use cases such as lead qualification, task prioritisation and operational automation
- Platform Engineering
- Build and maintain production-ready AI services across front-end and back-end systems
- Work with TypeScript/JavaScript, .NET and/or Python on AWS
- Integrate AI services with internal platforms and third-party APIs
- Implement monitoring for agent behaviour, model performance and cost control
Required Experience
- 10+ years commercial software engineering experience
- Strong hands-on experience with TypeScript/JavaScript and .NET
- Proven experience working with LLM platforms/frameworks (OpenAI, Anthropic, LangChain, etc.)
- AWS experience - Lambda, ECS/EKS, S3, RDS, CloudFormation/CDK
- Strong database experience, including MySQL and data pipelines
- Direct experience building autonomous agents, intelligent workflows, multi-agent systems or RPA
- Strong understanding of API design, system integration and software architecture
Nice to Have
- Experience with NLP or applied ML
- Exposure to MLOps, model evaluation or A/B testing
- Microservices and event-driven architectures
- Awareness of data privacy and AI security considerations
Senior AI Engineer employer: Nicoll Curtin
Join a forward-thinking prop-tech company that champions innovation and excellence in the AI space. With a fully remote work environment, you will enjoy the flexibility to balance your professional and personal life while contributing to cutting-edge projects that drive real-world impact. The company fosters a collaborative culture that prioritises employee growth, offering opportunities for skill enhancement and career advancement in a dynamic and supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or online events where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving autonomous agents or AI systems. Share it on platforms like GitHub or your personal website, and don’t forget to link it in your applications.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and software engineering. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you a leg up. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with TypeScript, .NET, and any autonomous agent projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects:If you've worked on any projects that involve AI agents or workflow automation, make sure to mention them. We’re keen to see real-world applications of your skills, so don’t hold back on the details!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Nicoll Curtin
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript, JavaScript, .NET, and Python. Brush up on your AWS knowledge too, especially Lambda and ECS/EKS, as these are crucial for the role. Being able to discuss your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your AI Experience
Prepare to talk about your previous projects involving autonomous agents and intelligent workflows. Be specific about the challenges you faced and how you overcame them. This will demonstrate your practical understanding of agentic AI systems and your ability to deliver results in a production environment.
✨Understand the Business Context
Since this role is in a prop-tech business, it’s beneficial to understand the industry and its challenges. Research how AI can enhance workflow automation and decision support in high-transaction environments. This knowledge will help you align your skills with their needs during the interview.
✨Prepare Questions
Have a few insightful questions ready about their current projects or future goals. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.