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
2+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments
3+ 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
5 years of full Software Development Life Cycle (SDLC) experience
Prior experience designing and building agentic systems
1+ yr 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.)
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