Senior / Lead AI Engineer
Omio · Singapore, sg ·
- Seniority
- Lead
- Category
- AI engineering
- Experience
- 10+ years
Develop AI solutions leveraging LLMs to improve productivity and deliver strong business impact.
Lead the end-to-end development lifecycle from ideation to deployment of AI-powered solutions across various domains.
Build scalable AI systems that support Omio’s global expansion goals.
Act as an evangelist for AI adoption by demonstrating clear value to stakeholders.
Collaborate with Business, Product, and Engineering teams to integrate AI into workflows and drive adoption.
Present models, results, and systems to both technical and non-technical audiences, including C-level stakeholders.
Minimum 10+ years of experience in software engineering, developing complex models and algorithms.
Proven track record in designing, implementing, and deploying production-grade AI solutions at scale.
Strong communication and presentation skills, with the ability to influence and collaborate effectively with non-technical stakeholders.
Self-motivated and capable of working independently, driving initiatives with minimal supervision.
Prior experience deploying scalable AI and LLM-based solutions for real-time, high-performance systems is highly desirable.
Experience with diverse model evaluation techniques (quantitative and qualitative) and an iterative approach to improving AI system performance and user outcomes.
Technical Skills and Knowledge
Expertise in building AI applications using large language models such as OpenAI, Claude, Gemini, LLaMA.
Experience with LLM orchestration frameworks like LangChain, LangGraph, vLLM, LMDeploy.
Strong programming skills in Java, Python, and SQL.
Familiarity with data preprocessing, feature engineering, model evaluation, MLOps, and LLMOps best practices.
Ability to construct Retrieval-Augmented Generation (RAG) systems for advanced AI workflows.
Proficiency in vector databases such as FAISS, Weaviate, Pinecone, Milvus.
Solid grasp of prompt engineering techniques to optimize LLM output.
Hands-on experience with cloud platforms like AWS, Google Cloud, or Azure.
Learn more about Omio Engineering and our Team:
https://medium.com/omio-engineering
Here at Omio, we know that no two people are alike, and that’s a great thing. Diversity in culture, thought and background has been key to growing our product beyond borders to reach millions of users from all over the world. That’s why we believe in giving equal opportunity to all, regardless of race, gender, religion, sexual orientation, age or disability.
Hiring process and background checks
At Omio, we work in partnership with Giant Screening, once a job offer has been accepted, Giant will be engaged to carry out background screening. Giant will reach out to you via email and occasionally via telephone/text message so that they can gather all relevant information required. Consent will be requested prior to any information being passed to our services company.
What’s in it for you? #LifeatOmio
Omio encourage you to apply even if you’re still developing some of these skills! We value diversity and welcome all applicants regardless of ethnicity, religion, national origin, sexual orientation, gender identity, age or disability.