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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 collaborative culture.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a global team focused on AI safety and innovation.
- Why this job: Make a real impact by engineering autonomous systems in a dynamic environment.
- Qualifications: Expertise in Python, GenAI, and experience with data pipelines and microservices.
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.
Our client requires experience deploying GenAI models into production using Kubernetes (or OpenShift) and establishing robust CI/CD pipelines via Jenkins, GitLab, or Azure DevOps.
Senior Python Developer - Hybrid Working in Antrim employer: Randstad Digital
Contact Detail:
Randstad Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Developer - Hybrid Working 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 gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Retrieval-Augmented Generation pipelines and Vector Databases. Be ready to discuss how you've tackled similar challenges in past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Python Developer - Hybrid Working 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 with Retrieval-Augmented Generation pipelines or Agentic frameworks, let us know! Real-world examples can really make you stand out.
Highlight Your Technical Skills: Don’t forget to mention your proficiency in Vector Databases and any experience with Kubernetes or CI/CD pipelines. We’re looking for someone who can hit the ground running, so show us what you’ve got!
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 keen to join 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 like PG Vector, Pinecone, and Milvus. Be prepared to explain how you've designed data persistence layers and handled unstructured data in previous projects.
✨CI/CD Knowledge is Essential
Understand the deployment process of GenAI models using Kubernetes or OpenShift. Be ready to discuss your experience with CI/CD pipelines, particularly with Jenkins, GitLab, or Azure DevOps, and how you've ensured smooth deployments in the past.