Software Engineer - AI & Analytics

Department:

Our Company Promise

We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer.

Job Description:

Job Summary

• Design, write program code, test, document, and implement functionally appropriate, technically sound, and well-integrated application systems in accordance with Customer requirements, organizational methodologies, and standards. Respond to production problems and implement immediate resolution efforts across technology areas.

Responsibilities

• Apply knowledge and skills of software development and testing effectively to solve a range of problems
• Work alongside other engineers on the team to elevate technology and consistently apply best practices
• Collaborate closely with customers and cross-functional departments to communicate project statuses and proposals
• Document each aspect of a system or application as a reference for future upgrades and maintenance
• Determine and assess the needs of the user and then create software to meet the requirements
• Identify and resolve issues that arise during the design, testing and maintenance processes using problem-solving skills
• Work in an agile environment to deliver high-quality software
• Prepare and install solutions by determining and designing system specifications, standards, and programming
• Mentor junior members on the team
• Improve and expand technical capabilities by continuing their education thru reading, workshops, conferences, and/or communities of practice
• May perform other job duties as directed by Employee's Leaders
• Python software development and API development (3+ years)
• Strong understanding of AI/ML concepts including LLMs, prompt engineering, embeddings, vector search, RAG, and model evaluation
• AWS development experience including Lambda, S3, CloudWatch, API Gateway, and event-driven services
• SQL, data analysis, and database development
• Testing, troubleshooting, observability, telemetry analysis, and DevOps fundamentals
• Build AI-enabled platform capabilities supporting agent monitoring, evaluations, recommendations, and observability.
• Develop integrations across AgentCore, Amazon Q, Connect, observability platforms, and enterprise services.
• Contribute to AI product reliability while gaining hands-on experience building next-generation AgentOps capabilities.

Knowledge, Skills and Abilities

• Intermediate knowledge of software development methodologies, practices, concepts, and technologies obtained through formal training and / or work experience
• Ability to demonstrate consistent knowledge application, skills of software development, and testing to solve a range of problems
• Intermediate knowledge of at least one required programming language
• Ability to partner, communicate, and negotiate with various Technology or partner Teams
• Ability to analyze and manage large, complex, and vague Business or technical problems, articulating the problem or root cause, and translating the analysis into viable solution recommendations
• Ability to take on multiple assignments, whether administrative or project related, while maintaining a successful level of completion in all responsible work
• Ability to mentor others to do the same
• Ability to develop, present and effectively communicate ideas and strategies to a variety of audiences
• Python software development and API development (3+ years)
• Strong understanding of AI/ML concepts including LLMs, prompt engineering, embeddings, vector search, RAG, and model evaluation
• AWS development experience including Lambda, S3, CloudWatch, API Gateway, and event-driven services
• SQL, data analysis, and database development
• Testing, troubleshooting, observability, telemetry analysis, and DevOps fundamentals
• LangGraph, LangChain, CrewAI, AutoGen, or similar Agentic AI frameworks
• OpenTelemetry, Grafana, or monitoring platforms
• React, TypeScript, and dashboard development
• Machine Learning model development or MLOps experience

Education

• Required: Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training

Experience

• Required: Intermediate-level experience, fully functioning broad knowledge in software engineering
• 2-5 years of relevant work-related experience
• Python software development and API development (3+ years)
• Strong understanding of AI/ML concepts including LLMs, prompt engineering, embeddings, vector search, RAG, and model evaluation
• AWS development experience including Lambda, S3, CloudWatch, API Gateway, and event-driven services
• SQL, data analysis, and database development
• Testing, troubleshooting, observability, telemetry analysis, and DevOps fundamentals

Preferred Experience

• LangGraph, LangChain, CrewAI, AutoGen, or similar Agentic AI frameworks
• OpenTelemetry, Grafana, or monitoring platforms
• React, TypeScript, and dashboard development
• Machine Learning model development or MLOps experience

Other Qualifications

• Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information
• Ability to work extended hours as needed
• Ability to work onsite approximately 3 days per week and as required by the business.

Southwest Airlines is an Equal Opportunity Employer.

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