Senior Software Engineer – AI, Python & Rust

Role purpose

Software engineering and architecture

• Develop and maintain production software in Python and Rust.
• Design backend services, APIs, databases, and scalable application architecture; own code reviews, testing, security, and performance.
• Manage delivery from requirements and design through CI/CD, deployment, monitoring, and maintenance.

AI development lifecycle

• Build AI-enabled features, LLM applications, intelligent workflows, and automation.
• Own AI use-case definition, data preparation, model/API selection, evaluation, deployment, monitoring, and improvement.
• Apply data protection, access controls, testing, and human oversight to AI solutions.

Mobile apps and integrations

• Build backend services for iOS and Android apps, including authentication, notifications, and payment or third-party integrations as needed.
• Develop REST APIs, webhooks, and middleware for ERP, CRM, HRMS, and other business platforms.
• Ensure secure data synchronization, resilient error handling, observability, and integration documentation.

Product ownership and collaboration

• Translate business needs into specifications, delivery milestones, and MVPs, balancing speed with maintainability.
• Coordinate with the CDO, internal stakeholders, and vendors; communicate risks, progress, and trade-offs.
• Prepare architecture diagrams, API documentation, release notes, runbooks, and handover materials.

Required qualifications and experience

• 6–8 years of professional software engineering experience, including hands-on product development.
• Strong production Python skills and practical Rust development experience.
• Demonstrable delivery of AI applications spanning development, evaluation, deployment, and monitoring.
• Experience with mobile application backends, APIs, ERP/CRM integrations, and relational databases.
• Experience in a startup, scale-up, or product-owning organization; direct product ownership is preferred over exclusively outsourced service delivery.
• Working knowledge of cloud infrastructure, Git, CI/CD, containers, testing, and secure engineering practices.
• Excellent spoken and written English, stakeholder communication, and technical documentation.
• Bachelor’s degree in Computer Science, Software Engineering, or related discipline, or equivalent demonstrated experience.

Preferred exposure

• Preferred exposure includes AWS, Azure, or GCP; PostgreSQL or MySQL; Docker or Kubernetes; RAG, LLM evaluation, or MLOps; Flutter or React Native; Odoo, Microsoft Dynamics, or Salesforce; and consumer-facing product domains.

Proposed performance scorecard