Senior Software Engineer, AI

Business Area

Engineering

Mid-Senior level

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we’re the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

At Cloudera, our Data Services Pillar is the heart of data innovation. We don’t just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.

Cloudera is looking for a Senior 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 s role requires an empathetic mindset and close collaboration with frontend / 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.

Read about the Forrester Wave Report on Cloudera’s Machine Learning offerings here.

• Help build the leading platform for AI and Machine Learning in the enterprise.
• Design, code, and implement elegant, scalable, enterprise-quality AI application services powered by machine learning models.
• 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.

• 5+ years of experience building scalable microservices or applications using Go, Node.js, C# or Java.
• Experience with at least one of the following Cloud technologies – Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure.
• Experience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, 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 building scalable, robust and secure enterprise applications.
• Self‑driven and motivated, with a strong sense of ownership and craftsmanship.
• Strong written and verbal communication skills.

• 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 Generative AI frameworks (Lang Chain, Guidance, NeMo etc.).
• Experience building and deploying Generative AI applications.
• Full stack experience with React, HTML, CSS.
• Experience with data science and machine learning tools (R, Python, Tensorflow, Spark)
• Deep understanding of cloud‑based networking
• Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)
• Experience using Big Data technologies like Spark, Hive etc.
• Proven track record of collaborating with agile teams across geographically dispersed locations.

This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You’ll work with cutting‑edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their…