AI Engineer
Indexed description
AI Engineer
We’re looking for a hands-on AI Engineer to help build, maintain and improve production AI solutions across data, LLMs, AWS cloud services and API integrations.
You’ll work across the full AI technology stack — from Python-based data processing and LLM applications to AWS infrastructure, search optimisation, model pipelines and CI/CD. This is an ideal opportunity for an engineer who enjoys solving technical problems and working across both AI and cloud engineering.
Essential Skills
- Python — strong experience with Python, particularly Pandas and NumPy
- AWS & Cloud — practical experience with S3, IAM, VPCs and serverless environments
- LLMs & Generative AI — experience debugging prompts, working with conversational AI and supporting production LLM applications
- Amazon Bedrock — hands-on experience configuring or supporting Bedrock-based solutions
- Data & Querying — experience with Amazon Athena, data views and query optimisation
- Search & Indexing — experience with Amazon OpenSearch or similar search/indexing technologies
- APIs & Data — ability to debug REST APIs and work with JSON payloads
- CI/CD & Development — Git, Docker, pipeline monitoring and code environment troubleshooting
- Problem Solving — strong debugging skills across applications, data and cloud environments
Preferred Skills
- LangChain or similar LLM/AI application frameworks
- Amazon SageMaker and ML model pipeline validation
- Experience maintaining vector indexes/vector databases
- Excel Power Query scripting
- AWS scheduler services and automated workflows
- Experience optimising search schemas and indexing processes
- Understanding of conversational analytics
- Basic knowledge of interface/layout concepts
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