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- Tasks: Develop cutting-edge GenAI applications and build high-throughput microservices.
- Company: Join a leading tech hub in Dublin or Belfast with a global impact.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and career advancement.
- Why this job: Make a real difference by engineering autonomous systems in AI.
- Qualifications: Expertise in Python, GenAI, and experience with data pipelines required.
The predicted salary is between 60000 - 80000 £ per year.
Role: Senior Python/GenAI Developer
Location: Dublin (OR) Belfast (Hybrid - 3 Days In-Office)
Role Type: Permanent / Full-Time (FTE)
Our client is looking for a Senior GenAI Application Developer/ Engineer to join their global technology hub in Dublin. This is a high-impact, permanent role designed for a Python expert who can move beyond basic AI experimentation and into the engineering of production-grade, autonomous systems.
The Python Specialist:
- You must have 'under-the-hood' knowledge of Python, specifically for building high-throughput microservices and complex data pipelines using FastAPI, Pandas, and NumPy.
- Deep hands-on experience building Retrieval-Augmented Generation (RAG) pipelines and Agentic frameworks.
- Knowledge of how to use LangChain or LlamaIndex to create AI that can execute multi-step tasks.
The Data Architect:
- Proficiency in Vector Databases is essential.
- Comfortable designing data persistence layers using PG Vector, Pinecone, Milvus, or Mongo Atlas to handle large amounts of unstructured data.
The AI Safety Advocate:
- Understanding of how to assess the performance and safety of GenAI features to ensure they meet the rigorous standards of a global bank.
Senior App Developer - Python in Antrim employer: Randstad Digital
Contact Detail:
Randstad Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior App Developer - Python in Antrim
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python or GenAI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving FastAPI, Pandas, and NumPy. This is your chance to demonstrate your expertise in building high-throughput microservices and complex data pipelines.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of Retrieval-Augmented Generation (RAG) pipelines and Agentic frameworks. Be ready to discuss how you've used LangChain or LlamaIndex in your past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills, so take advantage of that and get your application in. The sooner you apply, the better your chances!
We think you need these skills to ace Senior App Developer - Python in Antrim
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python expertise and experience with GenAI. We want to see how you've built high-throughput microservices and complex data pipelines, so don’t hold back on the details!
Showcase Your Projects: Include specific projects where you've used FastAPI, Pandas, or NumPy. If you've worked on Retrieval-Augmented Generation pipelines or Agentic frameworks, let us know! Real-world examples can really make you stand out.
Highlight Your Deployment Skills: Don’t forget to mention your experience with deploying GenAI models using Kubernetes or OpenShift. We’re keen to see how you’ve established CI/CD pipelines, so share those experiences with us!
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 get you into our system quickly. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Randstad Digital
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with FastAPI, Pandas, and NumPy. Be ready to discuss your experience in building microservices and data pipelines, as this will be crucial for the role.
✨Showcase Your GenAI Experience
Prepare to talk about your hands-on experience with Retrieval-Augmented Generation (RAG) pipelines and Agentic frameworks. If you've worked with LangChain or LlamaIndex, have specific examples ready to demonstrate how you've used these tools to solve real problems.
✨Data Persistence is Key
Familiarise yourself with Vector Databases and be prepared to discuss how you've designed data persistence layers using PG Vector, Pinecone, Milvus, or Mongo Atlas. Highlight any projects where you managed large amounts of unstructured data.
✨CI/CD and Deployment Know-How
Be ready to explain your experience with deploying GenAI models using Kubernetes or OpenShift. Discuss how you've established CI/CD pipelines with tools like Jenkins, GitLab, or Azure DevOps, as this will show your ability to ship production-grade systems.