Job Title: Senior AI Engineer
Location: Fort Worth, TX 76155 (Locals only) Candidate must work onsite Tuesday- Thursday; Virtually Mondays/Fridays. There will be 1 round of in-person interviews at Fort Worth, TX 76155
Top 3 Must-Haves: Gen AI Production Development Python Coding AI Engineering
JD:
Why you'll love this job
As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline.
AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), reinforcement learning, and generative AI.
What you'll do
As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.
Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions
Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development
Serve as technical lead in developing Agentic solutions
Troubleshoot and debug complex issues; identify and implement solutions
Create detailed project specifications, requirements, and estimates
Research and implement new AI technologies to enhance current processes, security, and performance
Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs
Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value.
Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects.
Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions.
All you'll need for success
Minimum Qualifications- Education & Prior Job Experience
Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
5+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments
5+ years of professional, design, and open-source experience
Preferred Qualifications- Education & Prior Job Experience
Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
7 years of full Software Development Life Cycle (SDLC) experience
Prior experience designing and building agentic systems
2+ years prior experience developing and implementing AI solutions using Large-Language Models (LLMs)
Airline or transport industry experience is a plus
Skills, Licenses & Certifications
Practical understanding of transformer architectures and how modern LLMs work
Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks
Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models
Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns
Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs
Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection
Experience developing and implementing governance frameworks and controls for responsible AI
Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus
Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics
Strong proficiency in Python; working knowledge of Java or another enterprise language
Proficiency in object-oriented design techniques and principles
Experience with cloud platforms (Azure, AWS, or Google Cloud Platform) and cloud-native development patterns
Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent
Experience with RESTful API design and integration patterns (JSON, microservices)
Experience in Agile methodologies, such as SCRUM
Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.)
