Software Engineer, AI

Cloudera•San Jose, CA

1d•Hybrid

About The Position

Cloudera is looking for a 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. Read about the Forrester Wave Report on Cloudera's Machine Learning offerings here .

Requirements

3+ years of experience building scalable microservices or applications using Go, Node.js, C# or Java
Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc.
Experience building and deploying Generative AI applications.
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.

Nice To Haves

Experience with Generative AI frameworks (LangChain, Guidance, NeMo etc.).
Experience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.)
Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure
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

Responsibilities

Help build the leading platform for AI and Machine Learning in the enterprise.
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.