Software Engineer- Fullstack- Singapore

United States Digital Space LLC; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

United States Digital Space LLC is seeking a Software Engineer in Singapore to join their AI OSS Ecosystem Team. You will be crucial in building and maintaining AI/ML platforms while collaborating with the global community. This role is ideal for candidates with strong programming skills, knowledge of AI/ML, and passion for open-source contributions.

The company emphasizes a diverse and inclusive culture, welcoming applicants with varied backgrounds and experiences.

Qualifications

• 3+ years of hands-on experience in building production systems.
• Experience in building and maintaining software tools for AI/ML.
• Familiarity with AI/ML and AIOps concepts and technologies.

Responsibilities

• Design and implement capabilities for the AI/ML lifecycle including training and deployment.
• Collaborate with the AI/ML community to advance AIOps.
• Mentor junior engineers on project planning and technical decisions.

Skills

Python

Scala

Java

AI/ML frameworks

Education

BS in Computer Science or related field

Tools

LangChain

LlamaIndex

TensorFlow

PyTorch

Job description

P-1502

At the company, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next‑gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Software Engineer on the AI OSS Ecosystem Team, you will play a key role in building and maintaining our open‑source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale. Additionally, you will collaborate with the larger AI/ML community to contribute to open‑source projects and advance AIOps capabilities in the industry.

The impact you'll have:

• Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents
• Design and implement platform integrations with various frameworks in the AI/ML ecosystem
• Collaborate with the AI/ML community across the world to advance the state‑of‑the‑art in AIOps.
• Ensure the latest AI/ML tooling advancements are available to the company’ customers, thereby enabling organizations around the world to get more value from their data.
• Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 3+ years of hands‑on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java.
• Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open‑source environment.
• Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring.
• [Preferred] Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects.
• [Preferred] Significant contributions to open‑source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects.

Our Commitment to Diversity and Inclusion

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‐economic status, veteran status, and other protected characteristics.