
EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).
Open Positions at EXL
41 open positions
Build and support .NET backend applications for client-facing projects, using Azure, APIs, and serverless technologies. The role combines software development, testing, technical analysis, and collaboration with US-based stakeholders.
Senior Python Developer building backend services for a healthcare data quality platform that parses, evaluates, and scores clinical CCDA documents. The role focuses on scalable APIs, healthcare data ingestion, XML processing, and interoperability.
Lead the design, development, and delivery of MuleSoft integration solutions using the Anypoint Platform. The role combines hands-on API and integration engineering with technical governance, architecture, mentoring, and delivery leadership.
Lead the secure AI engineering practice across enterprise and client-delivered AI solutions, setting standards and controls for ML, GenAI, LLM, RAG, and agentic systems. This executive-level role combines hands-on security architecture, AI risk leadership, regulatory readiness, and client advisory.
Lead the development and optimization of complex full-stack applications across front-end and back-end systems. This senior role also mentors engineers, guides architecture, and aligns technical solutions with organizational goals.
Application Engineer responsible for designing, developing, and maintaining software applications that meet user and business requirements. The role combines application development, performance optimization, troubleshooting, and technical support.
QA Engineer responsible for building and executing automated web and API tests, integrating testing tools, and ensuring application reliability. The role centers on Selenium-based automation, test frameworks, CI/CD testing, and quality practices.
Lead the architecture and delivery of an enterprise batch feature store supporting analytics and AI use cases. This hands-on data engineering leadership role combines PySpark and SQL pipeline development with technical direction, production ownership, and mentoring.
QA Engineer responsible for building and executing automated web and API tests, establishing automation frameworks, and integrating testing into delivery pipelines. The role also involves client communication, Agile participation, and technical training for the testing team.
Application Engineer responsible for designing, developing, maintaining, and supporting software applications. The role focuses on application performance, functionality, troubleshooting, and collaboration with stakeholders.
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