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.
