AI Software Engineer -

1 мес. назад

SingaporeWorldwideMiddleHybrid

llmapi integrationbackendautomationprompt engineeringretrieval augmented generation

Develop and deploy AI-powered products and features using latest AI technologies and LLMs to enhance user experience and team productivity.

Think in Days: We don't think about how many years something will take, we think about how many days. This is our secret to fast growth.
Always Share Secrets: We don't believe in secrets. We share with our followers and our employees what we do and why we do it.
Never Miss a Monday: We never miss a meeting. We never miss a deadline. We never miss a commitment. Commitment is at the core of our DNA.
Be A Force For Good: All our actions intend to bring a positive impact to everyone around us.
Explain for a 10-year old: We communicate in a simple and inclusive manner, free from unnecessary complexity.

We're looking for an AI Engineer who loves building products with the latest AI technologies. You'll work across LLMs, AI agents, automation, and product features to create experiences that delight users and dramatically increase team productivity.
This is a hands-on engineering role for someone who moves fast, experiments often, and enjoys turning new AI capabilities into real-world products.
Design, build, and deploy AI-powered products and features.
Develop AI agents and workflow automations using modern LLMs.
Integrate APIs from providers such as OpenAI, Anthropic, Google, and other AI platforms.
Build reliable backend services that support AI applications.
Optimize prompts, retrieval systems (RAG), tool calling, and agent performance.
Evaluate new AI models and technologies and rapidly prototype new ideas.
Collaborate closely with Product, Design, and Engineering to ship high-impact features.
Monitor, improve, and maintain AI systems in production.

3+ years of software engineering experience.
Strong programming skills in Python (preferred) or JavaScript/TypeScript.
Experience building applications using Large Language Models (LLMs).
Experience integrating AI APIs and deploying AI-powered products.
Solid understanding of prompt engineering, embeddings, vector databases, and RAG architectures.
Experience working with cloud platforms (AWS, GCP, or Azure).
Familiarity with modern backend frameworks and REST APIs.
Strong problem-solving skills and ability to work independently.
Excellent communication skills in English.