{"id":2228429,"url":"https://alion.io/job/southwest-airlines-software-engineer-ai-analytics","title":"Software Engineer - AI & Analytics","company":{"id":1756078,"name":"Southwest Airlines","domain":"southwest.com","url":"https://alion.io/company/southwest-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AgentOps","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"Grafana","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-10T17:32:10Z","employer_posted_date":"2026-10-10","last_verified_at":"2026-10-14T22:15:06Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Department:\nTechnologyOur Company Promise\nWe 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.\nJob Description:\nJob Summary\nDesign, 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.\nResponsibilities\nApply knowledge and skills of software development and testing effectively to solve a range of problems\nWork alongside other engineers on the team to elevate technology and consistently apply best practices\nCollaborate closely with customers and cross-functional departments to communicate project statuses and proposals\nDocument each aspect of a system or application as a reference for future upgrades and maintenance\nDetermine and assess the needs of the user and then create software to meet the requirements\nIdentify and resolve issues that arise during the design, testing and maintenance processes using problem-solving skills\nWork in an agile environment to deliver high-quality software\nPrepare and install solutions by determining and designing system specifications, standards, and programming\nMentor junior members on the team\nImprove and expand technical capabilities by continuing their education thru reading, workshops, conferences, and/or communities of practice\nMay perform other job duties as directed by Employee's Leaders\nPython software development and API development (3+ years)\nStrong understanding of AI/ML concepts including LLMs, prompt engineering, embeddings, vector search, RAG, and model evaluation\nAWS development experience including Lambda, S3, CloudWatch, API Gateway, and event-driven services\nSQL, data analysis, and database development\nTesting, troubleshooting, observability, telemetry analysis, and DevOps fundamentals\nBuild AI-enabled platform capabilities supporting agent monitoring, evaluations, recommendations, and observability.\nDevelop integrations across AgentCore, Amazon Q, Connect, observability platforms, and enterprise services.\nContribute to AI product reliability while gaining hands-on experience building next-generation AgentOps capabilities.\nKnowledge, Skills and Abilities\nIntermediate knowledge of software development methodologies, practices, concepts, and technologies obtained through formal training and / or work experience\nAbility to demonstrate consistent knowledge application, skills of software development, and testing to solve a range of problems\nIntermediate knowledge of at least one required programming language\nAbility to partner, communicate, and negotiate with various Technology or partner Teams\nAbility 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\nAbility to take on multiple assignments, whether administrative or project related, while maintaining a successful level of completion in all responsible work\nAbility to mentor others to do the same\nAbility to develop, present and effectively communicate ideas and strategies to a variety of audiences\nPython software development and API development (3+ years)\nStrong understanding of AI/ML concepts including LLMs, prompt engineering, embeddings, vector search, RAG, and model evaluation\nAWS development experience including Lambda, S3, CloudWatch, API Gateway, and event-driven services\nSQL, data analysis, and database development\nTesting, troubleshooting, observability, telemetry analysis, and DevOps fundamentals\nLangGraph, LangChain, CrewAI, AutoGen, or similar Agentic AI frameworks\nOpenTelemetry, Grafana, or monitoring platforms\nReact, TypeScript, and dashboard development\nMachine Learning model development or MLOps experience\nEducation\nRequired: Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training\nExperience\nRequired: Intermediate-level experience, fully functioning broad knowledge in software engineering\n2-5 years of relevant work-related experience\nPython software development and API development (3+ years)\nStrong understanding of AI/ML concepts including LLMs, prompt engineering, embeddings, vector search, RAG, and model evaluation\nAWS development experience including Lambda, S3, CloudWatch, API Gateway, and event-driven services\nSQL, data analysis, and database development\nTesting, troubleshooting, observability, telemetry analysis, and DevOps fundamentals\nPreferred Experience\nLangGraph, LangChain, CrewAI, AutoGen, or similar Agentic AI frameworks\nOpenTelemetry, Grafana, or monitoring platforms\nReact, TypeScript, and dashboard development\nMachine Learning model development or MLOps experience\nOther Qualifications\nMust meet confidentiality expectations as to confidential, proprietary and sensitive Company information\nAbility to work extended hours as needed\nAbility to work onsite approximately 3 days per week and as required by the business.\nSouthwest Airlines is an Equal Opportunity Employer.\nPlease print/save this job description because it won't be available after you 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