Senior Software Engineer (Java & AI)

Nexthink • Artificial Intelligence • AI Agents • Python • Java • TypeScript • 2 months ago
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Salary
≈ $18k – $48k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 8+ years exp

First seen by Alion on Aug 7, 2026. Nexthink scores A on the Alion truth index.

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Nexthink

Nexthink is a Swiss software company founded in 2004 that measures what employees actually experience when using their work computers, rather than what monitoring tools report about servers. Its agents collect performance, crash, application and network data from every endpoint, correlate it with employee sentiment, and let technology teams find and fix problems before anyone raises a ticket, which inverted how digital workplace support had always operated. Headquartered in Lausanne with a large presence in Boston, it sells to enterprises with tens of thousands of employees and pioneered the category now called digital employee experience.
nexthink.com • HQ: Lausanne, Switzerland • Artificial Intelligence • AI Agents • 1001-5000 employees • Est. 2004
Tech stack of Nexthink

Requirements:

  • 8+ years of professional software engineering experience, including shipping and operating cloud services in production.
  • Strong Backend developer working on building microservices, strong experience in Java, Kafka, Event driven Architecture.
  • Minimum of 1-2 years of considerable experience in writing production-ready code for delivering AI applications.
  • Experience in integrating with LLMs (e. g. Prompting, Evaluation, Observability).
  • Demonstrated success delivering AI-powered features that serve real users at scale (e. g., retrieval-augmented search, Generative AI assistants, predictive analytics).
  • Fluency in Python or at least one strongly-typed language (TypeScript or Java), with clean code and testing discipline.
  • Solid grasp of cloud-native architectures (AWS or comparable), containerization (Docker), and orchestration (Kubernetes / ECS).
  • Hands-on experience with MLOps: reproducible pipelines, automated evaluations, feature stores, CI/CD for models or prompt/embedding configs.
  • Strong data intuition: ability to inspect raw logs, design metrics, and quickly identify quality regressions.
  • Product mindset and empathy for end-users; able to translate fuzzy product requirements into incremental engineering plans.
  • Excellent communication and collaboration skills in English (spoken and written).
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