Senior AI Full Stack Developer

5 days ago

Singapore beBeeSoftware Full time

AI Software Engineer Role

We are seeking a highly skilled software engineer with deep expertise in full stack development, Generative AI, and DevSecOps practices.

Main Responsibilities

  • Design and build LLM-powered applications (retrieval-augmented generation, multi-agent systems, generative search, AI copilots).
  • Implement prompt engineering, fine-tuning, and evaluation frameworks for production-grade reliability.
  • Optimize AI inference at scale (latency, cost efficiency, guardrails).

Full Stack Development Expertise

  • Architect and deliver end-to-end features across frontend ), backend ), and cloud-native infrastructure.
  • Build secure APIs, data pipelines, and real-time services that power AI-driven user experiences.

DevSecOps & Shift-Left Practices

  • Embed security and testing early in the development lifecycle.
  • Own CI/CD pipelines with automated testing, vulnerability scanning, and compliance guardrails.
  • Implement Infrastructure as Code (IaC) and observability for resilience and scalability.

Leadership & Collaboration

  • Mentor engineers on AI software engineering best practices.
  • Collaborate with product managers and data scientists to translate business problems into AI-first solutions.
  • Drive technical decision-making, balancing innovation speed with long-term system sustainability.

Key Qualifications:

  • 7+ years of professional software engineering experience, with 2+ years in a senior/lead role.
  • Strong full stack development skills , , Python, Java, etc.).
  • Proven experience delivering Generative AI applications into production, including LLM integration, RAG pipelines, fine-tuning, and evaluation of models.
  • Solid knowledge of DevSecOps and shift-left practices (automated testing, SAST/DAST, IaC, CI/CD).
  • Hands-on experience with cloud-native platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes) and infrastructure provisioning.
  • Strong foundation in software architecture and distributed systems.

Nice-to-Have Skills:

  • Experience with multi-agent architectures or autonomous AI workflows.
  • Familiarity with AI evaluation frameworks (LangSmith, Weights & Biases, MLflow).
  • Contributions to open-source AI/ML or developer tooling.
  • Startup or high-growth environment experience.

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