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.

As a Staff Software Engineer you will:

• Help build the leading platform for AI/machine learning in the enterprise

• Design, and code elegant, scalable, enterprise-quality application services

• Advocate for the implementation of Engineering best practices and coding standards

• Build strong relationships and collaborate with platform and UI engineers, quality engineers, UX designers, as well as, Product Management, Field Engineering, and other external partners

• Work to enhance developer velocity and team agility

We are excited if you have:

• 8+ years of experience building scalable microservices or applications using Go, C#/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

• Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure

• 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.

You may also have:

• Experience with Generative AI frameworks (LangChain, Guidance, NeMo etc.).

• Experience with building applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.)

• Full stack experience with React, HTML, CSS

• Experience with AI/ML orchestration software (Kubeflow, KServe, Knative, Ray)

• Experience using Big Data technologies like Spark, Hive etc.

• Proven track record of collaborating with agile teams across geographically dispersed locations