Staff Software Engineer (Artificial Intelligence)

Requirements Bsc/Msc in related field or equivalent experience 10+ years of experience building scalable microservices or applications using Go, Python, Node.js, C# or Java Experience building and deploying AI Inference and Generative AI applications Experience with foundation models, prompt engineering, fine‑tuning, semantic search and Retrieval‑Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc. Experience with microservices design and development (Go, gRPC, SQL) on Kubernetes Demonstrate ability to go deep into technology and complex distributed systems Experience in crafting high‑level and low‑level design Experience in building highly scalable, robust and secure enterprise applications Self‑driven and motivated, with a strong sense of ownership and craftsmanship Strong written and verbal communication skills

• Desirable) Experience with HuggingFace, Nvidia AI frameworks and Nim models
• Desirable) Experience with AI/ML orchestration software KServe, Knative, Kubeflow
• Desirable) Experience with building AI applications with machine learning models using data science and machine learning tools (Python, TensorFlow, Spark, MLflow, R, etc.)
• Desirable) Experience with at least one of the following Cloud technologies – Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure
• Desirable) Good to have some full‑stack experience with React, HTML, CSS
• Desirable) Experience with data science and machine learning tools (R, Python, TensorFlow, Spark)
• Desirable) Deep understanding of cloud‑based networking
• Desirable) Experience using Big Data technologies like Spark, Hive etc.
• Desirable) Proven track record of collaborating with agile teams across geographically dispersed locations

What the job involves Cloudera is looking for a Staff Software Engineer to join the Enterprise AI Platform team and help drive development of Cloudera’s next‑generation AI and machine learning platform You will be responsible for helping design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale This role requires an empathetic mindset and close collaboration with front‑end/web UI engineers, data scientists, designers, and product management We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual, and the willingness to learn new things You must be self‑motivated, innovative, and proactive The role offers significant opportunities for growth Help build the leading platform for AI and Machine Learning in the enterprise Design, code, and implement elegant, scalable, enterprise‑quality AI inference services powered by machine learning models Design and develop AI Model Registry and AI applications Work to enhance developer velocity and team agility Build strong relationships and collaborate with platform and front‑end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners #J-18808-Ljbffr Cloudera