Application Engineer - GenAI

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.ai ABOUT THE ROLE We 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 role Compensation: Up to $100,000 PRIMARY RESPONSIBILITIES • As 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 phase • Develop 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 For Education and Experience • 2 - 5 years of experience in Python based applications development • Understanding and hand's on skill in using LLMs and Agentic AI • Bachelor's degree in Computer Science, IT, or related field • (or equivalent practical experience) • Strong analytical and troubleshooting skills with a solution-oriented mindset • Ability to manage multiple issues while maintaining high-quality support Core Technical Skills • Strong programming skills in Python programming. • Hands-on experience with databases and front-end technologies • Understanding of AI (LLM) native application development • Proficient in processes based around cloud file management like AWS S3 buckets and Google Cloud Storage. • Experience working with JSON, CSV, and similar structured data formats • Familiarity with handling large datasets and building/supporting data pipelines Communication & Mindset • Excellent professional, cross-team communication skills (written and verbal) • Highly detail-oriented with strong documentation practices • A customer-first attitude aligned with iMerit's "customer obsessed" culture • Eagerness to learn and continuously deepen technical expertise Nice to Have • Has worked on Agentic trajectory evaluation harness development and dataset creation projects • Has involved in developing Reinforcement Learning style workflows and environments for training and evaluation.