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- Tasks: Develop AI-driven solutions using Python and AWS for a major enterprise client.
- Company: Join a global consultancy at the forefront of AI innovation.
- Benefits: Competitive daily rate, flexible contract length, and opportunities for professional growth.
- Why this job: Be part of a cutting-edge project that shapes the future of AI technology.
- Qualifications: Strong Python and AWS skills, with experience in microservices and LLM integration.
- Other info: Collaborative environment with a focus on automation and best engineering practices.
Location: Stratford, London
Rate: £400–£450 per day (Outside IR35)
Contract Length: 6-12 months
Client: Global Consultancy (End Client: Confidential Financial Institution)
We are partnering with a global consultancy who are delivering an AI-driven automation and orchestration programme for a major enterprise client. They require an experienced AI Engineer / Senior Python Engineer with strong microservices experience, LLM integration and AWS serverless expertise to support the build of an intelligent prompt-orchestration platform powered by AWS Bedrock.
Key Responsibilities
- Develop and maintain Python microservices, serverless functions (AWS Lambda), backend APIs and Python packages
- Build LLM-powered agents, orchestration flows and MCP servers using AWS Bedrock
- Analyse logs, traces and evaluation outputs from a live AI product environment
- Design and maintain REST APIs interacting with AWS services including OpenSearch, DynamoDB, Kendra and S3
- Build and maintain Step Functions and workflow orchestration components
- Collaborate closely with DevOps engineers on deployments, operational support and CI/CD
- Contribute to automation pipelines using GitHub Actions and enforce branching and packaging standards
- Support code reviews, documentation standards and engineering best practice
- Assist with release management using Maven, Nexus and established RTL processes
Required Experience
- Strong commercial experience as a Python Engineer, AI Engineer or Backend Engineer
- Expertise with Python frameworks such as FastAPI, Flask or Django
- Hands-on experience building RESTful APIs and scalable backend services
- Solid understanding of API security, versioning, performance and distributed system design
- Strong knowledge of AWS serverless stack: Lambda, Step Functions, API Gateway, DynamoDB, OpenSearch, Kendra, S3, IAM, CloudWatch
- Experience integrating with LLMs (preferably AWS Bedrock), prompt workflows or vector databases
- Experience working with CI/CD pipelines (GitHub Actions / Jenkins)
- Understanding of event-driven architecture and serverless design patterns
- Strong communication skills and stakeholder-facing experience
Generative AI Engineer in City of London employer: TechNET IT Recruitment Ltd
Contact Detail:
TechNET IT Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AWS, and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, microservices, and AWS. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Generative AI Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Generative AI Engineer role. Highlight your experience with Python, AWS, and microservices. 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!
Showcase Relevant Projects: If you've worked on any projects involving LLMs or AWS serverless architecture, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get the attention you deserve. Let’s get started!
How to prepare for a job interview at TechNET IT Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your Python frameworks like FastAPI, Flask, or Django, and be ready to discuss your experience with AWS services such as Lambda and DynamoDB. Being able to talk confidently about your hands-on experience will impress the interviewers.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built RESTful APIs or worked with LLMs. Highlight your role in these projects, the challenges you faced, and how you overcame them. This not only demonstrates your technical skills but also your problem-solving abilities.
✨Understand the Business Context
Since this role is for a financial institution, it’s beneficial to understand the basics of how AI can drive automation in finance. Research the company and think about how your skills can contribute to their goals. This shows that you’re not just a techie but also someone who understands the bigger picture.
✨Prepare Questions
Interviews are a two-way street, so come prepared with insightful questions. Ask about their current projects, team dynamics, or how they measure success in this role. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.