Software Engineer I

American Express

. Design, develop, test, and maintain Python-based applications and backend services .

Posted 11/6/2026full-timeSunrise • Florida • United StatesJunior💰 $103,750 - $174,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python application development, RESTful API integration, and database management, with a strong focus on AI-driven solutions and agentic workflows. Proficient in implementing secure coding practices and collaborating within Agile teams to deliver high-quality software.

Highest-signal resume keywords

Python ProgrammingRESTful API DevelopmentRelational Database ManagementNoSQL Database ExperienceAI Workflow Orchestration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonSQLObject-Oriented ProgrammingData StructuresFastAPIFlaskPostgreSQLCouchbaseMongoDBLangChain

Soft Skills

Problem-SolvingDebuggingCommunication

Tools & Technologies

GitDockerCI/CDAWSAzureGoogle CloudLarge Language ModelsVector DatabasesRAG ArchitecturesOllama

Industry Keywords

Agile DevelopmentSecure Coding PracticesData Privacy RequirementsAI-Enabled ApplicationsEnterprise Security

Tech Stack

Tools & technologies

AWSAzureCassandraCloudDockerDynamoDBFlaskMongoDBNoSQLOraclePostgresPythonSQL

About the role

Key responsibilities & impact

Design, develop, test, and maintain Python-based applications and backend services
Build and integrate RESTful APIs using frameworks such as FastAPI or Flask
Write clean, modular, reusable, and maintainable code
Implement unit tests, debugging, logging, and error handling
Collaborate with cross-functional teams to deliver reliable software solutions
Develop SQL queries, manage schemas, and perform basic query optimization
Work with relational databases such as PostgreSQL and Oracle
Work with NoSQL databases such as Couchbase, Cassandra, MongoDB, and DynamoDB
Implement data ingestion, retrieval, and integration workflows
Develop GenAI-powered applications using Large Language Models
Build and integrate Retrieval-Augmented Generation (RAG) pipelines and vector database workflows
Implement document ingestion, chunking, embeddings, semantic search, retrieval workflows, and prompt engineering strategies
Develop AI agents capable of executing tasks, invoking tools, and interacting with external systems
Build agentic workflows using LangChain, LangGraph, or similar technologies
Integrate frontier and open-source/open-weight LLMs
Implement agent orchestration, tool calling, state management, and workflow automation
Evaluate agent performance, reliability, and response quality
Use Git for version control and collaborate through code reviews
Participate in Agile development processes
Write technical documentation and support application troubleshooting
Follow secure coding practices and data privacy requirements
Contribute to continuous improvement of AI-enabled applications

Requirements

What you’ll need

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience
1-3 years of enterprise experience in software development using Python
Strong understanding of Python programming, object-oriented programming, data structures, and APIs
Hands-on experience with at least one Relational database and one NoSQL database
Working knowledge of SQL, database design, and data retrieval
Practical experience integrating LLMs into Python applications
Understanding of embeddings, vector databases, semantic search, and RAG architectures
Familiarity with frontier and open-source LLMs
Basic understanding of agentic AI concepts, tool calling, and AI workflow orchestration
Experience using Git and common development tools
Knowledge of Docker, CI/CD pipelines, and deployment practices
Strong problem-solving, debugging, and communication skills
Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship
Preferred: Experience with LangChain, LangGraph or similar frameworks
Preferred: Familiarity with model-serving tools such as Ollama, vLLM
Preferred: Experience with cloud platforms such as AWS, Azure, or Google Cloud
Preferred: Familiarity with LLM evaluation, observability, prompt optimization, and guardrails
Preferred: Understanding of MCP (Model Context Protocol) and AI tool integration
Preferred: Exposure to enterprise security, authentication, and access control

Benefits

Comp & perks

Annual bonus
Benefits