Software Engineer, Associate

The Associate Software Engineer is an early-career full-stack engineering role supporting the development of services and features for GenAI Platform Improvements and Claude Integration.

Working under the guidance of Senior Engineers and Team Leads, you will contribute to Python-based APIs, front-end development, database operations, testing, debugging, and issue resolution. This opportunity is ideal for someone with strong programming fundamentals, an interest in GenAI technologies, and a desire to grow as a full-stack engineer.

A Typical Day in the Life Includes:

• Develop and maintain Python services and REST APIs using FastAPI or a comparable framework.
• Build front-end features using Angular or a comparable JavaScript framework.
• Work with relational databases such as PostgreSQL and perform basic data operations.
• Support integrations with AWS services and the Anthropic Claude API with guidance from the team.
• Write unit tests, troubleshoot and debug issues, verify fixes, and participate in code reviews.
• Contribute to GenAI platform and AI governance features through defined development and testing tasks.
• Participate in Agile ceremonies, provide progress updates, and proactively communicate dependencies or blockers.
• Use AI-assisted coding tools responsibly by reviewing and testing generated code before incorporating it into applications.

Basic Qualifications:

• 1 year of hands-on software development experience, including application development, testing, and defect resolution.
• Strong programming fundamentals, including data structures, basic algorithms, and problem-solving.
• Working knowledge of Python and familiarity with REST API development using FastAPI, Flask, Django, or a comparable framework.
• Basic knowledge of JavaScript or TypeScript and exposure to Angular or a comparable front-end framework.
• Understanding of relational databases and ability to write basic SQL queries.
• Familiarity with Git, debugging, unit testing, and collaborative development practices.
• Ability to follow technical designs, complete assigned tasks with guidance, seek feedback, and communicate progress clearly.
• Baseline AI literacy, including the ability to recognize useful AI scenarios, evaluate AI-generated outputs, and use AI responsibly.

Preferred Qualifications:

• Exposure to AWS services such as Lambda, EKS, Bedrock, or SageMaker through professional experience or hands-on projects.
• Familiarity with AI-assisted coding tools such as Claude Code, AWS Kiro, OpenAI Codex, or comparable tools.
• Exposure to LLM-backed applications, Anthropic Claude API, Model Context Protocol (MCP), LangChain, or LangGraph.
• Basic familiarity with Docker, CI/CD pipelines, or cloud-based application deployment.
• Interest in developing full-stack engineering skills and learning GenAI platform and AI governance concepts.