Senior Software Engineer AI Python And Rust

Job Description:

Role Purpose

Own the design, development, integration, deployment and continuous improvement of secure, scalable software and AI-enabled business applications. Work closely with the CDO to translate business requirements into reliable products and digital solutions, with a hands‑on, startup-oriented approach.

Key responsibilities

Software engineering & architecture

• Develop and maintain production software using Python and Rust, selecting each language where technically appropriate.

• Design backend services, APIs, databases and scalable application architecture; own code reviews, testing, security and performance.

• Manage the software development lifecycle from requirements and design through CI/CD, deployment, monitoring and maintenance.

AI development lifecycle

• Build and integrate AI-enabled features, LLM applications, intelligent workflows and automation.

• Own the AI lifecycle: use‑case definition, data preparation, model/API selection, evaluation, deployment, monitoring and improvement.

• Implement data protection, access controls, testing and human oversight for AI solutions.

Mobile applications & integrations

• Build backend services supporting iOS/Android applications, including authentication, notifications and payment or third‑party integrations as required.

• Develop REST APIs, webhooks and middleware connecting ERP, CRM, HRMS and other business platforms.

• Ensure secure data synchronization, resilient error handling, observability and integration documentation.

Product ownership & collaboration

• Translate business needs into technical specifications, delivery milestones and MVPs; prioritize speed with maintainability.

• Coordinate with the CDO, internal stakeholders and vendors; communicate risks, progress and trade‑offs clearly.

• Produce architecture diagrams, API documentation, release notes, runbooks and handover materials.

Required Qualifications & 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 across 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 preferred over exclusively outsourced service delivery.