<p><b>Description : </b></p><br/><p><br/></p><p>We are seeking a Senior Engineer with experience building and operating AI-powered software systems.
You will join one of the AI teams and be responsible for prototyping, maturing, and shipping AI features to a production-ready level.
You will also integrate external AI services (e.
g., LLM providers) into Nexthink's cloud platform.</p><br/><br/><p>You are a pragmatic, results-driven engineer who understands modern AI stacks but thinks in terms of software reliability, performance, and user impact.
You focus on creating scalable, observable solutions that solve real-world problems for our customers.
Because the role is cross-functional, the ability to communicate complex concepts in simple ways is essential.
You will collaborate with product, design, front-end, and infrastructure teams to bring delightful AI features to life.</p><br/><br/><p><b>Requirements : </b></p><br/><br/><p>- BSc/MSc in Computer Science, Software Engineering, or a related field.</p><br/><br/><p>- 11+ years of professional software engineering experience, including shipping and operating cloud services in production.</p><br/><br/><p>- Strong Backend developer working on building microservices, strong experience in Java, Kafka, Event driven Architecture.</p><br/><br/><p>- Minimum of 1-2 years of considerable experience in writing production-ready code for delivering AI applications.</p><br/><br/><p>- Experience in integrating with LLMs (e.
g.
Prompting, Evaluation, Observability).</p><br/><br/><p>- Demonstrated success delivering AI-powered features that serve real users at scale (e.
g., retrieval-augmented search, Generative AI assistants, predictive analytics).</p><br/><br/><p>- Fluency in Python or at least one strongly-typed language (TypeScript or Java), with clean code and testing discipline.</p><br/><br/><p>- Solid grasp of cloud-native architectures (AWS or comparable), containerisation (Docker), and orchestration (Kubernetes / ECS).</p><br/><br/><p>- Hands-on experience with MLOps : reproducible pipelines, automated evaluations, feature stores, CI/CD for models or prompt/embedding configs.</p><br/><br/><p>- Strong data intuition : ability to inspect raw logs, design metrics, and quickly identify quality regressions.</p><br/><br/><p>- Product mindset and empathy for end-users; able to translate fuzzy product requirements into incremental engineering plans.</p><br/><br/><p>- Excellent communication and collaboration skills in English (spoken and written)</p> (ref:hirist.tech)