Mid Level AI Engineer - Singapore - Epergne Solutions

    Epergne Solutions
    Epergne Solutions Singapore

    11 hours ago

    Technology / Internet
    Description

    Job Role: - Mid Level AI Engineer (Gen AI)

    Job Location: - Singapore

    Experience: -7+ Years

    Position Summary

    We are seeking a skilled AI Engineer with expertise in Generative AI and cloud-native development to design, build, and deploy innovative AI-driven applications. The role involves working on end-to-end solutions from ideation to MVP, leveraging AI/ML technologies, microservices, and modern cloud environments. The ideal candidate is hands-on, analytical, and passionate about building scalable, high-impact AI systems.

    Key Responsibilities
    • Design and implement AI/GenAI solutions within cloud-native and microservices-based architectures.
    • Develop, optimize, and deploy AI models ensuring scalability, performance, and reliability.
    • Integrate AI functionalities into containerized applications across cloud or hybrid environments.
    • Refactor and modernize existing applications using 12-factor and DevOps principles.
    • Contribute to technical innovation, research, and solution prototyping.
    • Collaborate with cross-functional teams to deliver high-quality, on-time AI solutions.
    • Mentor peers, stay updated on emerging AI/ML trends, and foster knowledge sharing.
    Skills & Requirements

    Experience:

    • 7+ years of software development experience in Python, Java, and Kubernetes.
    • Proven track record in AI/ML development, with hands-on exposure to Generative AI.

    Technical Expertise:

    • Proficiency with GenAI frameworks (LangChain, OpenAI API, Hugging Face).
    • Strong understanding of NLP, prompt engineering, and transformer models.
    • Experience with microservices, containerization, and cloud-native environments.
    • Familiarity with MLOps, data engineering, and model fine-tuning.
    • Knowledge of vector databases, LLMs, and Responsible AI practices.
    • Hands-on with Agile, Scrum, and DevOps methodologies.

    Soft Skills:

    • Strong communication and collaboration abilities.
    • Problem-solving mindset with a focus on delivery excellence.
    • Ability to adapt to dynamic, fast-paced project environments.

    Preferred Certifications:

    • Professional certification in Cloud (AWS, Azure, or Google Cloud).
    • AI/ML specialization or equivalent credential is an advantage.

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