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LM
Luis Minvielle
How to Become an AI Engineer
over 2 years ago
AI Engineer
HANSON-REGAN CONSULTING, LLC
United States
7 days ago
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Apply on computerjobs.com
Prepare application
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Software Applications
Distributed Systems
Python (Programming Language)
Machine Learning
Systems Integration
Cloud Platform System
Large Language Models
Model Validation
Generative AI
Kubernetes
Machine Learning Operations
+1 more
Data Pipelines
Job description
An opportunity for engineers who enjoy taking AI from ideas and research into scalable, real-world applications - building intelligent systems, experimenting with emerging technologies, and solving complex technical challenges.
Developing AI-powered applications using modern LLM technologies Building intelligent workflows, automation systems and AI-driven solutions Working with Python and production software engineering practices Integrating machine learning models into scalable products Improving reliability, performance and usability of AI systems Collaborating with technical teams to bring innovative ideas into production
Requirements
Python engineering Large Language Models (LLMs) AI agents and orchestration frameworks Machine learning systems Cloud environments and modern deployment practices Data pipelines and AI application architecture
Desirable Skills:
Generative AI applications Multi-modal AI MLOps and model evaluation Distributed systems Robotics, automation or complex technology environments
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Prepare application
- Draft this with your agent
- Open in Claude
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Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists2:08 min
Essential engineering roles in the generative AI space
Mary Grygleski · LIVE
2:28 min
Understanding Kubernetes architecture and core cluster components
Marc Nimmerrichter · World Congress 2022
2:37 min
Tracing the evolution from early AI to generative AI
Mike · World Congress 2025
6:08 min
Applying software engineering environments and testing to data pipelines
Matthias Niehoff · World Congress 2024
2:03 min
Solving complex engineering challenges in artificial intelligence deployment
Nico Axtmann · World Congress 2022
4:04 min
Overview of Kubernetes operators and custom resource definitions
Philipp Krenn · World Congress 2022
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