Artificial Intelligence Engineer

Job Title: AI Developer or Architect

Company: TestGrid

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.