Senior AI Engineer

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    "ShortDescriptionStr": "An AI & ML Engineer is responsible for designing, developing, and implementing machine learning models and artificial intelligence solutions to solve complex problems. This role involves working closely with data scientists, software engineers, and other stakeholders to integrate AI/ML models into production systems and ensure their optimal performance.",
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    "ExternalDescriptionStr": "<p>Role Overview</p>\n<p>We are seeking a <strong>hands-on Senior AI Engineer</strong> with a strong foundation in traditional Machine Learning and practical, real-world experience building and deploying <strong>LLM- and GenAI-driven systems</strong>. This role focuses on designing, engineering, and hardening production-grade AI solutions that are embedded into business workflows—not research prototypes.</p>\n<p>You will work in <strong>small, high-impact delivery teams (2–3 engineers per initiative)</strong> and spend the majority of your time (~70–75%) building systems end to end, while also contributing to solution design, technical decision-making, and cross-functional collaboration.</p>\n<p><strong>Required Skills &amp; Experience</strong></p>\n<p>Software &amp; Systems Engineering</p>\n<ul>\n <li>10-12 years of overall software engineering experience, including prior work as an ML Engineer or equivalent.</li>\n <li>Strong backend development skills (Python, Java, Node.js, or similar languages).</li>\n <li>Experience designing and building REST or gRPC-based services.</li>\n <li>Solid understanding of distributed system design.</li>\n <li>Containerization and orchestration experience (Docker, Kubernetes).</li>\n</ul>\n<p>AI / ML</p>\n<ul>\n <li>Hands-on experience across traditional ML and modern GenAI systems.</li>\n <li>Proficiency with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or equivalents.</li>\n <li>Experience building or deploying:&nbsp;\n  <ul>\n   <li>ML-driven production systems</li>\n   <li>LLM-based applications</li>\n  </ul></li>\n <li>Ability to select ML vs. LLM-driven approaches based on business and operational constraints.</li>\n</ul>\n<p>Cloud &amp; DevOps</p>\n<ul>\n <li>Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).</li>\n <li>Experience with CI/CD pipelines and deployment automation.</li>\n <li>Understanding of model, code, and configuration versioning best practices.</li>\n</ul>\n<p>Observability &amp; Production Readiness</p>\n<ul>\n <li>Experience implementing logging, monitoring, and tracing for production systems.</li>\n <li>Familiarity with system resilience patterns such as:&nbsp;\n  <ul>\n   <li>Rate limiting</li>\n   <li>Failover strategies</li>\n   <li>Kill-switch mechanisms</li>\n  </ul></li>\n</ul>\n<p>Problem Solving &amp; Mindset</p>\n<ul>\n <li>Strong ability to solve ambiguous, real-world engineering problems.</li>\n <li>Comfortable working in fast-moving, iterative environments.</li>\n <li>Ownership mindset with a bias toward practical, scalable solutions.</li>\n</ul>\n<p>Communication &amp; Collaboration</p>\n<ul>\n <li>Experience working in cross-functional teams.</li>\n <li>Ability to clearly articulate technical and business trade-offs, including:&nbsp;\n  <ul>\n   <li>LLM vs traditional ML</li>\n   <li>Build vs buy decisions</li>\n   <li>Speed vs robustness</li>\n  </ul></li>\n</ul>\n<p><strong>Good to Have</strong></p>\n<ul>\n <li>Experience with enterprise AI platforms or internal AI frameworks.</li>\n <li>Prior production experience with:&nbsp;\n  <ul>\n   <li>Agentic architectures</li>\n   <li>Multi-agent systems</li>\n   <li>RAG-based systems at scale</li>\n  </ul></li>\n <li>Exposure to AI governance, safety, and compliance considerations.</li>\n <li>Experience mentoring junior engineers or owning technical modules.</li>\n <li>Hands-on experience optimizing performance and cost for AI workloads.</li>\n</ul>\n<p>&nbsp;</p>",
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    "CorporateDescriptionStr": "<div>\n EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit&nbsp;<a href=\"http://www.exlservice.com/\" target=\"_blank\" rel=\"nofollow\">www.exlservice.com</a>.\n</div>\n<div>\n <div>\n  <p class=\"MsoNormal\"><br/></p>\n </div><i>EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.</i>\n</div>\n<div>\n</div>",
    "ExternalPostedStartDate": "2026-05-14T21:31:54+00:00",
    "ExternalQualificationsStr": "<p>Bachelor's degree in relevant field with 8-10 years of relevant experience</p><p><strong>Why EXL</strong></p><p>At EXL, you’ll work at the intersection of life sciences, cloud modernization, and AI — helping clients build data ecosystems that drive better outcomes, accelerate research, and power next-generation analytics.</p><p><strong>Expected Hours of Work:</strong></p><p>Employees are required to work 40 hours per week. This role may require more than 40 hours per week and/or weekends.</p><p>Salary: $120,000.00-$140,000.00 per year, commensurate with experience. This range is provided as a general guideline and may vary based on qualifications, skills, and location.</p><p><strong>Base Salary Range Disclaimer:</strong> The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience<strong>. The base salary range listed is just one component of EXL's total compensation package for employees</strong>. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.</p><p><strong>To view our total rewards offered click here —&gt; </strong><a href=\"https://www.exlservice.com/us-careers-and-benefits\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>https://www.exlservice.com/us-careers-and-benefits</strong></a></p>",
    "InternalQualificationsStr": "<p>Bachelor's degree in relevant field with 8-10 years of relevant experience</p><p><strong>Why EXL</strong></p><p>At EXL, you’ll work at the intersection of life sciences, cloud modernization, and AI — helping clients build data ecosystems that drive better outcomes, accelerate research, and power next-generation analytics.</p><p><strong>Expected Hours of Work:</strong></p><p>Employees are required to work 40 hours per week. This role may require more than 40 hours per week and/or weekends.</p><p>Salary: $120,000.00-$140,000.00 per year, commensurate with experience. This range is provided as a general guideline and may vary based on qualifications, skills, and location.</p><p><strong>Base Salary Range Disclaimer:</strong> The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience<strong>. The base salary range listed is just one component of EXL's total compensation package for employees</strong>. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.</p><p><strong>To view our total rewards offered click here —&gt; </strong><a href=\"https://www.exlservice.com/us-careers-and-benefits\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>https://www.exlservice.com/us-careers-and-benefits</strong></a></p>",
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