Role overview
We are seeking an AI Engineer to design, build, and deploy intelligent systems that support real-world business operations. This role goes beyond experimentation—you will work on production-grade AI solutions that directly impact efficiency, insight, and quality across the organization.
You will collaborate closely with leadership, designers, and operations teams to translate ideas into reliable, scalable AI systems.
What you'll work on
- Design, develop, and deploy AI/ML models for business and operational use cases
- Build and maintain data pipelines, model training workflows, and inference systems
- Work with structured and unstructured data (text, images, operational data)
- Integrate AI solutions into existing systems (ERP, internal tools, automation pipelines)
- Optimize models for performance, reliability, and cost efficiency
- Monitor, evaluate, and continuously improve deployed models
- Stay current with advancements in AI, ML, and applied intelligence
What we're looking for
- Experience with LLMs, NLP, or computer vision
- Experience integrating AI with ERP systems or operational platforms
- Knowledge of cloud platforms (AWS, GCP, or Azure)
- Experience with automation, agents, or decision-support systems
- Background in startup, product-driven, or innovation-focused environments
Job Types: Full-time, Permanent
Application Question(s):
- Have you deployed AI/ML models into a production environment used by real users or business operations?
- Which tools or frameworks have you used professionally?
- How many years of hands-on experience do you have building and deploying AI or machine learning models?
- Can you describe a project where you integrated APIs for automation or AI chatbots?
Tags & focus areas
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