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EXL

Senior AI Engineer – ML & Generative AI

EXL

Location
Hybrid (United States)
Compensation
$100k - $120k/yr
Employment
Full-time
Level
Senior Level
Posted 3 days ago

About the Role

EXL is seeking a hands-on Senior AI Engineer to design, engineer, and deploy production-grade AI and LLM-driven systems embedded into business workflows. You will work in small, high-impact delivery teams, building end-to-end solutions and contributing to technical decision-making.

Skills

Machine Learning Generative AI Python Java Node.js REST gRPC Distributed System Design Docker Kubernetes PyTorch TensorFlow AWS Azure GCP CI/CD

Perks

  • Annual Bonus

Full job details

Work Location: Sunrise, Florida
Work Mode: Hybrid (3 days/week in office)
Pay Range: $100K/Yr - $120K/Yr Base + Annual Bonus

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process

For more information on benefits and what we offer please visit us at US Careers and Benefits

We are seeking a hands-on Senior AI Engineer with a strong foundation in traditional Machine Learning and practical, real-world experience building and deploying LLM- and GenAI-driven systems. This role focuses on designing, engineering, and hardening production-grade AI solutions that are embedded into business workflows—not research prototypes.

You will work in small, high-impact delivery teams (2–3 engineers per initiative) 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.