AI Engineer

Epergne Solutions; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading tech company in Singapore is seeking a Senior AI Engineer to design and deliver cloud-native AI solutions. The ideal candidate will have over 10 years of experience, particularly in Generative AI, AI/ML technologies, and microservices architecture. Responsibilities include developing GenAI applications, providing client advisory on AI implementation, and mentoring teams. This is an exciting opportunity for those looking to lead innovative AI projects in a dynamic environment.

Qualifications

• 10+ years of development experience in Java, Python, Node.js, and Spring.
• Strong hands-on experience in AI/ML technologies.
• Expertise in GenAI frameworks such as LangChain and OpenAI API.

Responsibilities

• Design and develop GenAI-powered applications within cloud-native architectures.
• Integrate AI solutions into microservices and container-based environments.
• Optimize and deploy AI models in cloud environments.

Skills

Java

Python

Node.js

Spring

AI/ML technologies

GenAI frameworks

Prompt Engineering

NLP concepts

Job description

We are seeking a Senior AI Engineer with strong Generative AI (GenAI) expertise to design and deliver cloud‑native AI solutions from ideation to MVP. The role requires deep experience in AI/ML, modern microservices architecture, DevOps, and public cloud platforms.

Role: AI Engineer

Experience: 10+ Years

Location: Singapor e

Role Summary

We are seeking a Senior AI Engineer with strong Generative AI (GenAI) expertise to design and deliver cloud‑native AI solutions from ideation to MVP. The role requires deep experience in AI/ML, modern microservices architecture, DevOps, and public cloud platforms.

Key Responsibilities

• Design and develop GenAI-powered applications within cloud-native architectures
• Integrate AI solutions into microservices and container-based environments (public/private/hybrid cloud)
• Optimize and deploy AI models in cloud environmentsRefactor applications into 12-factor, microservices-based architectures
• Lead PoCs and MVPs with strong technical ownership
• Provide client advisory on GenAI and ML implementation
• Mentor teams and contribute to technical thought leadership

Mandatory Skills & Experience

• 10+ years of development experience in Java, Python, Node.js, and Spring
• Strong hands‑on experience in AI/ML technologies
• Expertise in GenAI frameworks: LangChain, OpenAI API, Gemini, Hugging Face Transformers
• Strong Prompt Engineering experience
• Deep understanding of NLP concepts: tokenization, embeddings, transformers, language models
• Proven experience with cloud‑native architecture (microservices, containers, 12-factor principles)
• Experience working in Agile/Scrum (Jira environment)

Good to Have

• MLOps and AI model deployment in production
• Model fine-tuning & data engineering for AI
• Vector databases, LLMs, SLMs
• Kubernetes (OpenShift, AKS, EKS, GKE, Tanzu, Anthos)
• DevOps, SRE, DDD knowledge
• Cloud/AI certifications (AWS/Google/Microsoft) ? at least one professional-level certification required