15+ Years 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 of 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, Lang Chain/Lang Graph, 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.) Top 3
Must-Haves:
Gen AI Production Development Python Coding AI Engineering Nice to
Have Skills:
Coding engineering Data Science Candidate must work onsite Tuesdays- Thursdays; Virtually Mondays/Fridays. There will be 1 round of interviews. This role is for 5-7 years of experience.
