Software Engineer III - Full Stack

About the role

As a seasoned member of an agile team, you will design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will develop end-to-end AI-enabled products, own features across backend and frontend, deploy to cloud infrastructure, and integrate LLM/agent capabilities into production systems. The role values practical delivery, strong fundamentals, and clear collaboration.

Responsibilities

• Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems.
• Design and build clean, testable Python services and APIs; optimize for reliability and performance.
• Build maintainable UIs using React and modern JavaScript/TypeScript.
• Integrate LLM APIs and/or agent frameworks into real workflows and user experiences.
• Develop cloud-native systems using containers, microservices, and AWS (preferred).
• Work with PostgreSQL/Aurora: schema design, querying, and state/session management patterns.
• Write tests, debug issues, review code, and ship iteratively in a fast-paced environment.
• Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to improve value realized by automation.
• Produce architecture and design artifacts for complex applications while ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.

Requirements

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Strong Python (clean architecture, testing, performance awareness).
• Solid React + modern JavaScript/TypeScript for functional, maintainable UIs.
• Cloud-native development experience: containers + APIs/microservices + at least one major cloud (AWS preferred).
• Hands-on experience building with LLMs and agentic AI (LLM APIs and/or frameworks such as Google ADK, LangGraph, or similar) in production or real deployed work, not just prototypes.
• Working knowledge of relational databases (PostgreSQL/Aurora), including schema design and query patterns.
• Strong fundamentals: data structures, REST/APIs, Git, testing, debugging.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

Preferred Qualifications

• Familiarity with the Model Context Protocol (MCP) or building tools/plugins for AI agents.
• Experience with RAG, prompt engineering, evaluations, and/or production guardrails.
• Kubernetes/EKS, AWS Lambda, and infrastructure-as-code.
• Observability/tracing tooling (e.g., OpenTelemetry, Arize Phoenix).
• Experience in regulated/enterprise environments with security and governance requirements.