iMerit is a leader in expert data solutions for training, tuning and evaluating AI models and computer vision systems. iMerit helps frontier AI labs, AI-native companies and enterprises build more accurate, reliable, and domain-aware models. iMerit delivers high-quality multimodal data across industries such as high-tech Generative AI, autonomous mobility, healthcare AI, and robotics.Through Scholars, its global network of specialists such as linguists, physicians, scientists, engineers, and other subject matter experts, iMerit powers high-quality data creation, reasoning evaluation, model alignment, and human feedback workflows for next-generation AI systems. Its proprietary Ango Hub platform allows customers and experts to collaborate on complex multimodal data to generate highly curated and validated training artifacts for high-stakes models.iMerit's client base includes 3 of the top 7 GenAI labs, 8 leading AV companies, leaders in healthcare AI, and several robotics startups. In 2026, iMerit was acquired by EXL (NASDAQ:EXLS), a global data and AI solutions company. For more information, visit imerit.aiABOUT THE ROLEWe are seeking an enthusiastic Application Engineer - GenAI. This position offers an excellent opportunity to deepen your skills in application development by technically supporting iMerit’s HiTech & GenAI Domain Sales and Marketing team and pod leaders. The role would involve dynamic and quick-turn-around time projects.
Location: USA | Remote roleCompensation: Up to $100,000PRIMARY RESPONSIBILITIESAs an application engineer, you will work with the Sales and Marketing (SM) team and pod leaders to develop custom application solutions to support iMerit’s clients.Provide quick turnaround PoCs for the SM team to demonstrate to clients during pre-sales phaseDevelop and maintain applications during the project tenure and ensure data formats, pipelines, operations are working as per expectation.Provide technical support for applications used by the iMerit internal annotation team and clients.Develop an understanding of the overall design of supported applications.Provide high-quality communication to internal users of the tool as well as clients, technical troubleshooting, resolution, and follow-through for all assigned customer issues and inquiries, ensuring we meet or exceed all customer and internal SLA’s.Troubleshoot application-related issues.Offer insights and feedback based on your support experiences.Interact directly with internal customers to understand their needs and provide effective communication.Document and maintain detailed records of support cases, resolutions, and interactions.Stay up-to-date with the features and design changes introduced by supported software releases.Assist in training and onboarding new support team members, sharing your knowledge and experience.Drive team coordination as a key decision-maker, fostering cross-functional alignment and streamlining communication across internal stakeholders to achieve project milestones.What We’re Looking ForEducation and Experience2 - 5 years of experience in Python based applications developmentUnderstanding and hand’s on skill in using LLMs and Agentic AIBachelor’s degree in Computer Science, IT, or related field(or equivalent practical experience)Strong analytical and troubleshooting skills with a solution-oriented mindsetAbility to manage multiple issues while maintaining high-quality supportCore Technical SkillsStrong programming skills in Python programming.Hands-on experience with databases and front-end technologiesUnderstanding of AI (LLM) native application developmentProficient in processes based around cloud file management like AWS S3 buckets and Google Cloud Storage.Experience working with JSON, CSV, and similar structured data formatsFamiliarity with handling large datasets and building/supporting data pipelinesCommunication & MindsetExcellent professional, cross-team communication skills (written and verbal)Highly detail-oriented with strong documentation practicesA customer-first attitude aligned with iMerit’s “customer obsessed” cultureEagerness to learn and continuously deepen technical expertiseNice to HaveHas worked on Agentic trajectory evaluation harness development and dataset creation projectsHas involved in developing Reinforcement Learning style workflows and environments for training and evaluation.