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- Tasks: Build next-gen AI systems and design workflows for a digital assistant processing millions of queries.
- Company: Join a leading financial services organisation at the forefront of AI technology.
- Benefits: Competitive pay up to ÂŁ700 per day, flexible contract work, and opportunities for growth.
- Why this job: Make a real impact in AI by developing scalable, observable systems that enhance decision-making.
- Qualifications: Strong Python skills, experience with microservices, and hands-on knowledge of LangGraph required.
- Other info: Collaborate with cross-functional teams in a dynamic environment focused on innovation.
AI Connect are partnering with a leading financial services organisation to help them hire an AI Engineer to work on next-generation agentic AI systems. This role sits at the intersection of software engineering and applied AI building production‑grade, observable, and scalable agent‑based systems. You’ll focus on designing and delivering agentic workflows, robust evaluation frameworks, and real‑world AI services for a digital assistant that processes millions of queries daily.
What You’ll Do
- Build and evolve agentic AI systems using frameworks such as LangGraph, focusing on orchestration, state management, and multi‑step reasoning.
- Design and implement evaluation frameworks for LLM‑powered systems.
- Implement observability and monitoring for agentic workflows using tools like Langfuse, ensuring traceability, reliability, and performance insight.
- Develop production‑grade microservices using Python, FastAPI, and modern software engineering practices.
- Integrate LLM‑powered services with internal APIs, tools, and data sources to enable real‑world decision‑making and automation.
- Work closely with product, platform, and engineering teams to take agentic solutions from concept through to production.
- Contribute to architectural decisions around scalability, reliability, and system design for AI‑powered services.
Key Skills & Experience
- Strong experience as a Software Engineer or AI Engineer, with a clear focus on production systems rather than research.
- Excellent Python engineering skills, including experience building APIs and services with FastAPI (or similar frameworks).
- Solid understanding of microservices architecture, RESTful APIs, and distributed systems.
- Hands‑on experience with LangGraph for building agentic workflows (this is a key requirement).
- Experience designing or working with LLM evaluation frameworks, testing strategies, and quality measurement.
- Experience implementing observability for LLM systems, ideally using Langfuse or similar tooling.
- Comfortable working in cloud environments (AWS experience is highly desirable).
- Strong communication skills and the ability to collaborate with cross‑functional teams.
Artificial Intelligence Engineer employer: AI Connect | Data & AI Delivery Partner
Contact Detail:
AI Connect | Data & AI Delivery Partner Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software engineering fields. Attend meetups, webinars, or even online forums 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 Python, FastAPI, and LangGraph. Having tangible examples of your work can really set you apart when you're chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key when working with cross-functional teams. We want you to shine during those interviews!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team and help build the future of AI systems.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI systems and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and FastAPI expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building agentic AI systems and how your previous work has prepared you for this role. We love a good story!
Showcase Relevant Projects: If you've worked on projects involving LangGraph or LLM evaluation frameworks, make sure to mention them. We’re keen to see real-world examples of your work that demonstrate your capabilities in building scalable systems.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at AI Connect | Data & AI Delivery Partner
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and FastAPI. Brush up on your experience with LangGraph and be ready to discuss how you've used it to build agentic workflows.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in building production-grade systems. Think about times when you implemented observability or designed evaluation frameworks, and be ready to explain your thought process.
✨Communicate Clearly and Collaboratively
Since this role involves working closely with cross-functional teams, practice articulating your ideas clearly. Be prepared to discuss how you’ve collaborated with product and engineering teams in the past to bring solutions from concept to production.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the role and the company. Inquire about their current projects involving AI systems or how they measure the success of their agentic workflows.
