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- Tasks: Develop and deploy AI applications, build AI agents, and integrate systems.
- Company: Join Robert Walters Operations Limited, a leading employment agency in tech.
- Benefits: Enjoy hybrid work options, competitive pay, and opportunities for growth.
- Why this job: Be at the forefront of AI innovation and collaborate with diverse teams.
- Qualifications: Strong Python skills, experience in GenAI, and full-stack engineering required.
- Other info: Open to both contract and permanent roles, with various levels available.
The predicted salary is between 60000 - 105000 £ per year.
We are seeking a Python Fullstack Developer / AI Engineer to join our team. The ideal candidate will have strong hands-on technical experience in software engineering, and a deep knowledge of Generative AI / Machine Learning. You will be responsible for building solutions and Apps around LLMs, and kickstarting our build efforts in Agentic AI.
Responsibilities
AI and GenAI App Development – Design, develop, and deploy AI and GenAI applications in enterprise environments, following established SDLC standards.
Build AI Agents – Create task-based, domain-specific, and orchestrator agents using modern multi-agent frameworks.
Agentic AI Systems – Design and build core components of agentic AI systems, including memory, guardrails, orchestration, trace management, and tool marketplaces.
System Integration – Integrate AI and GenAI applications into existing systems and workflows, ensuring smooth and efficient operation.
Infrastructure – Collaborate with data engineering teams to build scalable data pipelines and infrastructure supporting AI apps and agents.
Evals – Monitor and evaluate the performance of AI apps, agents, and the overall agentic AI system.
Stakeholder Collaboration – Work closely with cross-functional teams, including project managers, platform engineers, data engineers, solution engineers, data scientists, and business stakeholders to define, design, and implement new features.
Stay Updated – Keep current with the latest trends and advancements in AI and machine learning, and apply relevant innovations to projects.
Documentation and Knowledge Sharing – Document work thoroughly, share knowledge, and help upskill other team members.
Technical Capabilities
Full-Stack Engineering Experience – Including infrastructure-as-code for DevOps pipelines, and containerization using tools like Docker and Kubernetes.
GenAI Application Development – Experience in building GenAI applications with RAG, prompt/context engineering, embeddings, chat completions, and calling LLM APIs.
Agentic AI Expertise – Strong understanding of agentic AI architecture, including LLMs, MCP, agent hierarchies, orchestration, evaluations, memory and trace setup.
Languages – Proficiency in Python, SQL, ReAct (reasoning and acting patterns), and Node.js
New Team build, many roles, Hiring for Mid to Lead Levels.
Location: London, Hybrid
Type: Open to both contract and Perm
Contract Rate: £450-800 per day
Perm Salary: £70-150k
Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
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Python Full stack Developer (AI/ML) employer: Robert Walters UK
Contact Detail:
Robert Walters UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Full stack Developer (AI/ML)
✨Tip Number 1
Make sure to showcase your hands-on experience with Python and AI/ML technologies during networking events or meetups. Engaging in conversations about your projects can help you stand out and connect with potential colleagues or employers.
✨Tip Number 2
Join online communities or forums focused on AI and machine learning, such as GitHub or Stack Overflow. Actively participating in discussions or contributing to open-source projects can demonstrate your expertise and passion for the field.
✨Tip Number 3
Consider reaching out to current employees at StudySmarter via LinkedIn. A friendly message expressing your interest in the Python Fullstack Developer role can lead to valuable insights about the company culture and the team dynamics.
✨Tip Number 4
Stay updated on the latest trends in Generative AI and agentic AI systems. Sharing your knowledge in interviews or networking situations can highlight your commitment to continuous learning and innovation in the field.
We think you need these skills to ace Python Full stack Developer (AI/ML)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python, AI, and machine learning. Include specific projects or applications you've developed that demonstrate your skills in generative AI and agentic AI systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the role. Mention how your previous experiences align with the responsibilities listed in the job description, particularly in app development and system integration.
Showcase Technical Skills: In your application, emphasise your technical capabilities, especially in full-stack engineering, infrastructure-as-code, and containerisation. Provide examples of how you've used tools like Docker and Kubernetes in past projects.
Highlight Collaboration Experience: Since the role involves working closely with cross-functional teams, include examples of past collaborations. Describe how you’ve worked with project managers, data engineers, and other stakeholders to deliver successful projects.
How to prepare for a job interview at Robert Walters UK
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python, SQL, and any relevant frameworks like Docker and Kubernetes. Bring examples of past projects where you've developed AI applications or worked with machine learning models.
✨Demonstrate Your Knowledge of AI/ML
Familiarise yourself with the latest trends in Generative AI and agentic AI systems. Be ready to explain how you would approach building AI agents and integrating them into existing workflows.
✨Highlight Collaboration Experience
Since the role involves working closely with cross-functional teams, share specific examples of how you've successfully collaborated with project managers, data engineers, and other stakeholders in previous roles.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex issues related to AI application development and system integration.