Visier is the global leader in AI-powered people analytics, workforce planning, and compensation management solutions, helping organizations gain a Workforce AI Edge. With over 60,000 customers in 75 countries, including enterprises like BASF, Panasonic, and Ford Motor Company, we empower businesses to understand the relationship between people and work, adapt faster to change, and drive better outcomes.
Backed by leading investors and valued at $1B, Visier is at the forefront of transforming the HR landscape through innovation and data-driven insights. Join us in our mission to unlock the business-transforming potential of people data
We are at the forefront of developing a generative AI digital assistant for people analytics, known as Vee, which delivers rapid, user-friendly insights to HR leaders. Vee leverages natural language processing and generative AI to provide accurate narrative answers. Vee provides this unique insight by leveraging people data extracted from various data sources and providers. Visier is seeking smart, passionate, and skilled developers to join our Singapore team and play a key role in advancing this transformative technology.
What You’ll Be Doing….
Developing the core technology for innovative, high-performing, cloud-based applications in generative AI and machine learning
Engineering prompt retrieval and augmentation
Creating effective tests for prompts
Integrating Vee with third-party tools and frameworks
Developing and maintaining data connectors to various data sources
Contributing innovative ideas to enhance features, product, technology, and processes
What You’ll Bring To The Table….
Proficiency in Python, Java, or Scala
Strong knowledge of data structures and algorithms
Exceptional problem-solving and critical-thinking skills
Ability to excel in a fast-paced, proactive work environment
Commitment to disciplined and top-quality software development
Strong communication skills
A solid academic background with a Bachelor's degree in Computer Science or equivalent
Additional assets would include
experience with prompt engineering and LLMs,
LLM application frameworks such as LangChain,
prompt testing,
functional programming languages,
knowledge of various HR data sources and providers and their APIs, and
client-server programming, as well as familiarity with modern web technologies (REST, JSON, Angular, CSS, JavaScript, TypeScript, RXJS)