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Mid-level AI role at a well-known startup with metro hiring and specialized LLM skills, moderate competition.
Requires specialized GenAI and LLM deployment expertise, limiting cross-industry portability.
Explicit 4–8+ years and mandatory Python, Langchain, cloud, and deployment experience makes filters strict.
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Lead end-to-end deployment of Generative AI applications for customers, from discovery through delivery.
Architect and implement scalable AI solutions using Python, Langchain, LangGraph, large language models, and cloud platforms (AWS, Azure, GCP).
Serve as technical advisor working directly with customers to tailor AI solutions and collaborate with internal teams to influence product roadmap.
4–8+ years in software or solutions engineering with customer-facing experience.
Proficiency in Python, Langchain, LangGraph, SQL, and engineering architecture (APIs, microservices).
Experience designing and deploying Generative AI applications into production.
Strong skills with cloud services such as AWS, Azure, or GCP.
Experienced in hands-on AI solution deployment and comfortable managing multiple customer projects simultaneously.
Able to translate technical AI complexities clearly to non-technical customers and stakeholders.
Prefers dynamic, startup-like environments requiring agility and customer focus.