Senior AI​/ML Engineer

Senior AI Engineer (Generative AI / LLM Applications)

Posted by Reku on behalf of a confidential client

Reku is partnering with a major global hospitality company undergoing a high-impact digital and technology transformation. As part of a significant investment in AI, Machine Learning, and Generative AI, we are hiring a Senior AI Engineer to build and deploy LLM-powered applications and scalable AI/ML services across the enterprise.

This is an opportunity to join a well-resourced, fast-moving environment where AI is a strategic priority, not an experiment.

• Design, build, and deploy production-grade AI/ML solutions on cloud platforms (Azure, AWS, or GCP).
• Develop LLM-based applications, including RAG (retrieval-augmented generation), agent workflows, and tool-based reasoning systems.
• Build scalable AI services, APIs, and pipelines that integrate into enterprise platforms and business workflows.
• Partner with engineering, data, and product stakeholders to translate business needs into practical technical solutions.
• Implement strong engineering standards for deployment, monitoring, reliability, and iteration.
• Contribute to MLOps practices using tools such as Docker, Kubernetes, MLflow, CI/CD, and observability tooling.
• Support model evaluation and continuous improvement to ensure quality, performance, and measurable impact.

• 5+ years of software engineering experience with strong coding skills (Python required; C#, Java, or similar languages a plus).
• 2+ years of hands‑on experience using ML frameworks such as PyTorch, Tensor Flow, Hugging Face, or similar.
• Proven experience applying LLMs, Generative AI, or agent-based frameworks to real business solutions.
• Demonstrated success delivering at least one ML/AI application or service into production at meaningful scale.
• Strong understanding of ML fundamentals, deep learning concepts, and applied optimization techniques.
• Familiarity with scalable deployment practices and MLOps tools (Docker, Kubernetes, MLflow, etc.).
• Strong analytical and communication skills with the ability to influence stakeholders and drive alignment.

• Experience with RAG pipelines, embeddings, semantic search, and vector databases (FAISS, Pinecone, Weaviate, pgvector, etc.).
• Familiarity with Lang Chain, Llama Index, or open‑source orchestration frameworks.
• Experience with evaluation frameworks, monitoring, and responsible AI practices.
• Experience optimizing inference for performance, latency, and cost.
• Advanced degree in AI/ML, Computer Science, Data Science, or related field (great plus but not required).

This role offers
competitive compensation aligned with Chicago market benchmarks, along with a strong benefits package that may include:

• Medical, dental, and vision coverage
• 401(k) with employer match
• Generous paid time off and paid holidays
• Parental leave
• Hybrid/remote flexibility
• Great discounts on worldwide stays

This is a rare opportunity to build AI systems that will have real enterprise and customer impact at global scale, within an organization investing meaningfully in modern AI capabilities.

Confidential search. Serious momentum. High visibility.