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.