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Artificial Intelligence Engineer
1 month ago
Position Summary:
We're looking for a versatile AI Developer who enjoys moving fluidly across the entire AI solution lifecycle-from shaping ideas with stakeholders through to delivering production-ready intelligent features. You'll sit at the intersection of software engineering, data, and product, helping us turn large, messy problems into clear, reliable, and responsible AI-powered experiences.
Key Responsibilities:
Collaborate end-to-end: Partner with product managers, designers, data engineers, and domain experts to translate business opportunities into AI-enabled features.
Design & build solutions: Architect, implement, and iterate on the components (services, pipelines, or integrations) that bring intelligence into our applications-selecting the right approaches, tools, or services for the problem at hand.
Operationalize AI: Package, test, deploy, and monitor AI assets in production environments, ensuring they remain scalable, performant, explainable, and cost-effective.
Drive continuous improvement: Evaluate emerging methods, conduct lightweight experiments or proof-of-concepts, and feed learnings back into the roadmap.
Champion best practices: Promote clean code, reliable data handling, reproducibility, documentation, and ethical AI guidelines across the team.
Cross-functional communication: Explain complex technical ideas in plain language, gather feedback, and help non-technical colleagues make informed decisions.
Core Qualifications & Skills:
Solid programming experience in at least one general-purpose language (e.g., Python, Java).
Practical familiarity with modern AI/ML libraries, frameworks, or cloud-native AI services.
Good understanding of data structures, algorithms, and software-engineering fundamentals (testing, CI/CD, version control).
Experience shipping or supporting data-driven features in a production environment (web, mobile, edge, or embedded).
Comfortable navigating the full solution stack-data ingestion, feature engineering, model evaluation, deployment, and monitoring-even if you're not a deep specialist in any one layer.
Strong analytical mindset, growth orientation, and willingness to learn new tools or paradigms as needed.
Clear written and verbal communication skills, plus a collaborative, product-focused attitude.
How to Apply:
Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience to Please include "AI Developer - TestGrid" in the subject line.