AI Engineer

AI Engineer

Requirements

• Masters degree or PhD in computer science, AI/ML, computational linguistics, engineering, data science, mathematics, or related fields
• 5+ years of proven experience in AI/ML engineering, building AI systems and services, applying machine learning models to solving real-world business problems.
• Experience implementing LLM-based generative AI systems in production with a range of commercial and open foundation models (e.g. OpenAI, Anthropic, Meta)
• Demonstrated ability to optimize generative AI applications for latency and cost efficiency
• Proven experience building and applying machine learning models to real-world business applications.
• Strong proficiency in NLP, machine learning models and prompt engineering techniques
• Demonstrated experience building production-grade RAG systems utilizing structured, unstructured, and graph data.
• Experience evaluating a range of AI, NLP and ML systems (LLMs, RAG, search, classical models), including training data collection, human labeling and model-based techniques
• Experience designing, building and supporting APIs to be used by other engineering teams
• Familiarity with information retrieval systems, search algorithms, vector databases and embeddings
• Proven track record to innovate and deliver results at scale.
• The ability to write understandable, testable code with an eye towards maintainability.
• Excellent communication skills and you are capable of explaining sophisticated technical concepts to cross-functional collaborators with a wide range of technical and non-technical backgrounds, including product managers, engineers, and executive stakeholders
• Strong computer science fundamentals including data structures, algorithms, data engineering, programming languages, and information retrieval.
• Solid background in a wide range of classical ML approaches
• Experience developing conversational AI systems
• Exceptional problem-solving skills and enthusiasm for tackling complex, unsolved problems
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.
• Excited about developing domain expertise in the travel industry through work with subject matter experts, travel advisors and product experts.

Responsibilities

• Collaborate with AI Leadership, Product Managers, Engineers and Designers to brainstorm and build new features for our travel advisor platform
• Rapidly build prototypes to test product hypotheses in days
• Continuously improve existing AI products leveraging new models, tools, and prompting techniques
• Stay up-to-date on the latest developments and advancements in AI research and industry
• Research and evaluate third-party vendors to guide build vs buy decisions
• Create clear AI Engineering specifications based on product requirements
• Communicate and explain your work to peers and stakeholders on a daily basis
• Navigate and make decisions in situations of ambiguity or uncertainty.

Preferred Qualifications

• Experience building agentic systems
• Knowledge of fine-tuning and leveraging small language models to optimize latency in complex LLM-driven architectures