Full Stack Engineer (AI/ML, Python, Agentic) – Global Tech Company – London
Day rate: £500 – £700 (inside IR35)
Duration: 12 months
Hybrid: 3 days per week
Start: ASAP
My exciting new client is looking for a Full Stack Engineer with AI/ML and Python experience. Hybrid working 3 days per week in the London office.
Key Qualifications:
1. 10+ years designing and developing operational support systems and automation solutions in Python, 5+ years leading reviews and ensuring quality in others’ work.
2. Hands-on experience with Selenium, and iOS functional automation.
3. Experience with testing activities across the entire lifecycle of the project from inception to delivery.
4. Front-End Development:
5. Design and implement user interfaces using JavaScript, and frameworks such as React.
6. Back-End Development:
7. Develop and maintain server-side logic using Python.
8. Manage APIs and integrate third-party services and tools.
9. Ensure application data integrity and security by designing and managing databases in Postgres.
10. AI/ML Expertise:
11. Build and deploy Agentic systems, MCP servers/clients, and Retrieval-Augmented Generation (RAG) systems with Large Language Models (LLMs).
12. Extract, transform, and load (ETL) data to build vector databases with embedding models.
13. DevOps and Maintenance:
14. Implement CI/CD pipelines to streamline development workflows in Jenkins.
15. Monitor application performance and troubleshoot issues to maintain reliability and availability.
Preferred Qualifications:
16. Experience with building multi-agent systems and understanding of multi-agent design patterns.
17. Graph database knowledge is a plus.
18. Proficient with tools such as Charles, Git, and Jenkins.
19. Automate data analytics and reporting across multiple systems.
20. Strong understanding of software build tools and CI/CD integrations
21. Lead coordination with multiple Engineering and Product teams to expedite issue prioritization and resolution.
22. Create detailed test reports documenting progress, status, test plan completion, identified defects, and associated risks.
Responsibilities:
23. As part of the Automation Team, you will independently design and develop automation solutions in line with requirements provided by the Product team.
24. Stay up to date with AI/ML trends across the industry and within to inform and influence design decisions.
25. Develop test strategies, plans, cases, and scripts for both existing functionality and new features.
26. Contribute to multiple initiatives, balancing new feature development with documentation and on-time delivery.
27. Communicate status and progress in a timely manner, including sprint review reports, presentations, and planning demos for new features and MVPs.
28. Participate in Scrum ceremonies and cross-functional meetings to strengthen collaboration within and across teams.
*Rates depend on experience and client requirements