Generative AI Developer/Lead

6 days ago

Sydney, New South Wales, Australia Synechron Full time $120,000 - $200,000 per year

We are seeking a talented and forward-thinking Generative AI Developer with deep expertise in AWS to build scalable, secure, and high-performance AI solutions. This role will focus on designing and deploying generative AI models and agentic systems that solve real-world problems across industries, leveraging the full power of AWS cloud infrastructure.

Key Responsibilities

  • Design, develop, and deploy
    Generative AI models
    (LLMs, diffusion models, transformers) for enterprise applications.
  • Build and optimize
    agentic AI systems
    capable of autonomous reasoning, multi-agent collaboration, and contextual decision-making.
  • Architect and implement
    AWS-based infrastructure
    for scalable AI workloads, including SageMaker, Lambda, ECS, EKS, and Step Functions.
  • Integrate
    LLM-powered applications
    with business workflows, APIs, and data pipelines using AWS services.
  • Apply
    Responsible AI principles
    including bias detection, explainability, and compliance frameworks.
  • Develop
    RAG pipelines
    , multi-modal interfaces, and evaluation frameworks to improve model performance and reliability.
  • Collaborate with cross-functional teams to deliver secure, production-grade AI solutions in regulated environments.

Required Skills & Experience

  • Strong experience in
    Generative AI
    , including LLMs, transformers, and prompt engineering.
  • Proficiency in
    Python
    ,
    PyTorch
    ,
    TensorFlow
    , or similar ML frameworks.
  • Hands-on expertise with
    AWS services
    : SageMaker, Lambda, S3, IAM, CloudFormation, and API Gateway.
  • Experience deploying AI models in
    production environments
    with CI/CD and monitoring.
  • Familiarity with
    MLOps
    , containerization (Docker), and orchestration (Kubernetes).
  • Understanding of
    Responsible AI
    , data privacy, and ethical AI practices.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
  • Experience with
    multi-agent systems
    ,
    LLM fine-tuning
    , and
    GenAI evaluation techniques
    .
  • AWS certifications (e.g., AWS Certified Machine Learning Specialty or Solutions Architect).

Why Join Us?

Work on cutting-edge AI systems that shape the future of automation, compliance, and decision intelligence. Be part of a team that values innovation, impact, and ethical AI development.

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