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 .