Senior AI Programmer (Hybrid)

Senior AI Programmer (Hybrid)

Temporary Home office (partial)
Edison Smart®

At a Glance

  • Tasks: Design and deploy cutting-edge AI systems using Large Language Models and Agentic AI.
  • Company: Join a global leader in AI transformation with a focus on innovation.
  • Benefits: Competitive daily rate, hybrid work model, and potential for contract extension.
  • Other info: Collaborative team culture with opportunities for professional growth.
  • Why this job: Be at the forefront of AI technology and make a real impact in a dynamic environment.
  • Qualifications: Strong Python skills and experience in deploying LLM-based solutions.

You'll join a major AI transformation programme within a global organisation focused on building production-grade AI systems at scale. The initiative spans both customer-facing AI products and internal business transformation, with a strong emphasis on delivering systems that are deployed, used, and continuously improved.

We're seeking a Senior or Lead Machine Learning Scientist to design, build, and deploy AI agents and LLM-powered systems in real-world production environments. The team is building next-generation AI solutions using Large Language Models, Agentic AI, Retrieval-Augmented Generation (RAG), and intelligent automation to drive measurable business outcomes.

Skills & Responsibilities
  • Build and deploy production-grade AI agents and LLM-powered applications.
  • Design agentic workflows using LangChain, LangGraph, MCP, FastMCP, or similar frameworks.
  • Develop and optimise Retrieval-Augmented Generation (RAG) systems.
  • Integrate AI solutions into products, APIs, and business workflows.
  • Work with AWS, Azure, or GCP to deploy scalable AI systems.
  • Contribute to recommendation, classification, forecasting, and automation initiatives.
  • Strong Python development experience and production software engineering skills.
  • Proven track record shipping LLM-based solutions into production environments.
Tech stack: Python | LLMs | Agentic AI | LangChain | LangGraph | MCP | RAG | Vector Databases | AWS | Azure | GCP | APIs | SQL | Machine Learning | Forecasting

Senior AI Programmer (Hybrid) employer: Edison Smart®

Join a forward-thinking global organisation as a Senior AI Programmer in London, where innovation meets opportunity. With a hybrid work model and a focus on cutting-edge AI technologies, you'll thrive in a collaborative environment that prioritises employee growth and development. Enjoy competitive rates and the chance to contribute to transformative projects that shape the future of AI, all while working in one of the world's most vibrant cities.

Edison Smart®

Contact Details:

Edison Smart® Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Programmer (Hybrid)

Tip Number 1

Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and Agentic 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 AI programming questions and real-world problem-solving scenarios. Practising with friends or using mock interview platforms can help you feel more confident.

Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up in the hiring process.

We think you need these skills to ace Senior AI Programmer (Hybrid)

Python Development
Large Language Models (LLMs)
Agentic AI
LangChain
LangGraph
MCP
Retrieval-Augmented Generation (RAG)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with AI systems, especially LLMs and Agentic AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!

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 engaging and personal – we love to see your personality come through.

Showcase Your Technical Skills:Since this role involves a lot of technical work, make sure to mention your proficiency in Python and any experience with frameworks like LangChain or LangGraph. We’re looking for someone who can hit the ground running, so highlight those skills!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!

How to prepare for a job interview at Edison Smart®

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Python, LLMs, and Agentic AI. Brush up on your experience with frameworks like LangChain and RAG systems, as these will likely come up during technical discussions.

Showcase Real-World Applications

Prepare to discuss specific projects where you've successfully deployed AI solutions in production environments. Highlight your contributions to building scalable systems and how they drove measurable business outcomes, as this aligns perfectly with what the company is looking for.

Ask Insightful Questions

Come prepared with questions that show your interest in the role and the company’s AI transformation programme. Inquire about their current challenges with AI deployment or how they measure success in their projects. This demonstrates your engagement and strategic thinking.

Demonstrate Continuous Learning

The field of AI is always evolving, so be ready to talk about how you stay updated with the latest trends and technologies. Mention any recent courses, certifications, or projects that showcase your commitment to continuous improvement in AI and machine learning.