Agiloft - Sr Software Engineer AI - Fullstack
Requirements
• At least 5 years of professional experience as a software engineer • Strong experience building backend services and APIs using Python in a product-focused environment • Proficiency with AWS cloud services, particularly within a serverless architecture • Familiarity with infrastructure-as-code, observability tools, and cloud-native best practices • Self-motivated and accountable, with a strong sense of ownership over the systems you build • Collaborative, low-ego team player who thrives in cross-functional settings • Creative and pragmatic problem solver with a mindset for building scalable, maintainable systems • Proficiency in using relevant AI Tools in the SLDC (Cursor, GitHub Copilot) coding, and/or API integrations • Background checks will be conducted on an ongoing basis every 3 years or as needed for individuals in this role. • Agiloft offers a comprehensive benefits package for US employees including but not limited to the following: • Medical, dental, and vision insurance • Short term and long-term disability • Life insurance and AD&D • Supplemental life insurance (Employee/Spouse/Child) • Health care and dependent care Flexible Spending Accounts • 401(k) with company match • Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. • Paid parental leave • Voluntary benefits including pet insurance
Responsibilities
• Lead the design and development of core platform features using Python and an API-first approach • Build scalable, reliable backend services that power our applications, integrating seamlessly with a modern cloud-based architecture • Implement front-end features and help manage a growing React project in TypeScript • Collaborate with design and product teams to ensure that what we’re building is scalable, maintainable, and secure • Contribute to infrastructure and deployment workflows in our AWS serverless environment (e.g., Lambda, API Gateway, DynamoDB) • Independently lead proof-of-concept projects and tackle complex architectural and engineering challenges • Leverage AI-assisted tools to enhance productivity, streamline workflows, and support day-to-day activities
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