Software Engineer - Full Stack (.NET/Python)

Key Responsibilities

• Build production services in Python, C#, and related service technologies based on designs set by Senior Engineers, leads, or managers
• Develop corresponding UI functionality using Angular
• Build and integrate features using AWS services such as Bedrock, SageMaker, Lambda, and EKS
• Integrate LLM-backed capabilities using Anthropic Claude APIs, MCP, and related platform services
• Contribute to AI Governance capabilities across explain, observe, and prevent areas as directed, developing familiarity with all three over time
• Write unit, integration, and service-level tests to support reliable production delivery
• Participate in code reviews, incorporate feedback, and contribute to maintainable implementation patterns
• Estimate own work, communicate progress clearly, and flag risks, dependencies, or scope concerns early

Skills, Knowledge & Expertise

• Solid engineering fundamentals and hands-on experience shipping production code
• Working proficiency in Python and PostgreSQL, with additional hands-on experience or familiarity in C#
• Working proficiency in Angular
• Hands-on experience using an AI coding tool in daily development work, such as Claude Code, AWS Kiro, OpenAI Codex, or a comparable AI-assisted coding tool
• Basic familiarity with AWS services, including compute and serverless capabilities
• Baseline AI literacy, including understanding how AI works, where it can go wrong, where it is useful, and how to direct it effectively
• Ability to evaluate AI-generated outputs before relying on them and use AI-assisted tools responsibly within team standards and review processes
• Demonstrable exposure to LangChain, LangGraph, or a comparable agentic framework is a plus and can be developed further on the job

Benefits

• Direct exposure to LLM-backed products, APIs, or AI-enabled production capabilities
• Practical experience with Anthropic Claude APIs, MCP integrations, or comparable LLM integration patterns
• Experience working with AWS Bedrock, SageMaker, Lambda, EKS, or comparable cloud-native services
• Prior experience contributing to AI Governance, observability, explainability, prevention, or responsible AI platform capabilities