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Metro location plus broad LLM and cloud skillset increases applicant density despite seniority reducing competition.
Role requires specialized LLM, Azure OpenAI, and agentic AI expertise, limiting cross-industry transferability.
Explicit 8+ years plus many mandatory LLM, Azure, and Kubernetes skills enforce high shortlisting strictness.
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Lead design and development of Generative AI applications using LLMs, embeddings, vector databases, RAG, and multi-agent frameworks.
Collaborate with AI engineers and cross-functional teams to deliver end-to-end AI/ML solutions enhancing user experience.
Define AI/ML model development standards and provide peer feedback to ensure quality and timely delivery.
Bachelor's degree in BS/BE with 8+ years relevant experience.
Strong hands-on experience with Large Language Models and agent-based AI systems.
Proficiency in Python programming and back-end development with Python and/or Golang; API-driven architecture experience.
Experience with Azure AI services including Azure OpenAI and cloud-native development (Kubernetes, Docker, Helm).
Experienced in Agentic AI concepts such as planning, reasoning, and multi-agent collaboration with understanding of orchestration frameworks like CrewAI.
Skilled in integrating AI services, APIs, and data pipelines with strong knowledge of databases including PostgreSQL and vector databases.
Familiar with front-end frameworks (React or Angular) and UI/UX tooling (e.g., Figma) to support rapid prototyping and design collaboration.