Description

·                     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 GCP) 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.)

Key Skills

Education

Bachelor's or Master's degrees