Software Engineer - AI & Analytics

Reposted Yesterday
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F L Office, Choudwar, Cuttack, Odisha, IND
In-Office
Mid level
Aerospace
The Role
Design, develop, test, document, and maintain software and APIs using Python, AWS, SQL, and AI/ML technologies. Build AI-enabled AgentOps capabilities for monitoring, evaluation, recommendations, integrations, and observability. Collaborate with cross-functional teams in an agile environment, troubleshoot production issues, apply DevOps and testing practices, document systems, and mentor junior engineers.
Summary Generated by Built In

Department:

Technology

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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Skills Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent formal training
  • 2-5 years of relevant work-related experience
  • Python software development and API development experience for 3 or more years
  • Strong understanding of AI/ML concepts, including LLMs, prompt engineering, embeddings, vector search, RAG, and model evaluation
  • AWS development experience with Lambda, S3, CloudWatch, API Gateway, and event-driven services
  • SQL, data analysis, and database development experience
  • Testing, troubleshooting, observability, telemetry analysis, and DevOps fundamentals
  • Experience with LangGraph, LangChain, CrewAI, AutoGen, or similar agentic AI frameworks
  • Experience with OpenTelemetry, Grafana, or monitoring platforms
  • React, TypeScript, and dashboard development experience
  • Machine learning model development or MLOps experience
  • Ability to work onsite approximately three days per week and as required by the business
  • Ability to work extended hours as needed
  • Ability to protect confidential, proprietary, and sensitive company information

Southwest Airlines Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Southwest Airlines and has not been reviewed or approved by Southwest Airlines.

  • Pay Growth & Progression — Pay progression is described as materially improving after major 2024 union agreements, especially for pilots and flight attendants. Compensation satisfaction is framed as stronger over time as step scales and seniority accumulate.
  • Retirement Support — Retirement support stands out through a dollar-for-dollar 401(k) match and the presence of profit-sharing contributions that can add to retirement savings. Stock purchase access is also positioned as an additional ownership-oriented component of total rewards.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle value is elevated by extensive space-available travel privileges and broad travel-related discounts that can materially offset personal travel costs. Recognition mechanisms like points-based rewards are also positioned as an added lifestyle-oriented perk.

Southwest Airlines Insights

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The Company
HQ: Dallas, TX
28,585 Employees
Year Founded: 1971

What We Do

At Southwest Airlines we connect People to what’s important in their lives—that also means connecting our Employees to what’s important in their lives! Our Employees value the opportunity to work hard, be creative, and have fun on the job. Southwest Airlines recognizes, respects, and values differences. By fostering a culture that embraces and utilizes our diversity, we create competitive advantages in teamwork and innovation that contribute to our overall success.

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