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We’re an innovative legal AI startup on a mission to revolutionise ESG litigation through intelligent automation and advanced AI solutions. We’re looking for a skilled Contractor Software Engineer with a strong foundation in cloud infrastructure and Python development to help build and deploy the first version of our groundbreaking product. Commitment: 20-25 hours per week (flexible hours, remote).
Job Responsibility:
Set up, configure, and maintain cloud infrastructure to support scalable AI-driven big data workflows
Establish and manage robust DevOps processes, including CI/CD pipelines, monitoring, and security
Set up, develop, and maintain the Python-based technical stack, supporting efficient data processing and AI model integration
Collaborate closely with the founders and design partners to ensure the infrastructure aligns with product goals and technical requirements
Requirements:
5+ years of experience in software engineering with a focus on cloud infrastructure and Python development
Proven experience building and managing data engineering workflows (Airflow/Perfect) and scalable applications
Solid knowledge of cloud platforms (AWS preferred
Azure or GCP also okay), Docker containerisation, and BaaS platforms (e.g. Supabase, Firebase)
Familiarity with integration and creation of enterprise-level REST APIs
Familiarity with AI application development, including integrating and deploying machine learning models into production environments
Strong problem-solving skills and ability to work independently in a dynamic early startup environment
Nice to have:
Experience in legal tech or similar regulated professional service industries
Exposure to emerging AI frameworks and tools (e.g., LangChain, Hugging Face, OpenAI APIs)
What we offer:
Contribute directly to the foundational product of an exciting impact-driven startup
Opportunity to shape technical infrastructure from the ground up, making key decisions influencing product success