Artificial Intelligence Engineer

Job Description

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 gautam.bhalodiya@testgrid.io Please include "AI Developer - TestGrid" in the subject line. Show more Show less