Senior AI Engineer (Customer Facing)

Role overview Deliver production AI applications for enterprise customers as a senior technical partner who can connect business needs with applied machine learning. The work spans customer discovery, agent and language model solution design, implementation, and ongoing optimization, with regular collaboration across customer and internal teams.

Responsibilities - Clarify customer goals and turn them into reliable, scalable AI solutions while guiding projects to the intended outcomes. - Build and integrate multi-step agents for customer use cases, including automation that draws on logs, APIs, and other infrastructure signals. - Create retrieval-augmented generation pipelines to ground language models in customer-specific information. - Oversee the solution lifecycle, including data preprocessing, model development, deployment, monitoring, and optimization. - Partner with customer data science teams and internal solutions, engineering, and product groups to support integrations and customer-built applications. - Provide product feedback and write maintainable Python that supports performance, accuracy, and scale.

Requirements - At least five years of hands-on AI/ML engineering or backend systems experience, with recent experience involving language models or intelligent agents. - Proficiency in Python and demonstrated experience building scalable backend services or APIs. - Strong grounding in machine learning, deep learning, and generative AI, including hands-on use of language model platforms. - Practical experience with agent frameworks such as LangChain, LangGraph, or CrewAI and vector databases such as Pinecone, Weaviate, or FAISS. - Strong customer communication and presentation skills, with the ability to work independently and manage several projects.

Nice to have - Experience with cloud platforms, MLOps, AI services, or startup environments.

Benefits and work setup - High-impact opportunity to contribute to a new business area and deliver AI solutions directly with enterprise customers.