Senior Software Engineer - AI Engineer – Generative AI (Databricks Mosaic AI)
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Protocol Intelligence
Data-driven signals on your job's competitivenessMedium — mid-level metro AI role at a known firm with niche Generative AI skills required.
High — specialized Generative AI and Databricks Mosaic expertise limits transferability across domains.
High — explicit 5–8 years plus mandatory Databricks, LLM, and vector database expertise.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, deploy, and support enterprise-grade Generative AI and Agentic AI solutions using Databricks Mosaic AI.
Build scalable, secure, production-ready AI applications leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI Agents, Vector Search, and orchestration frameworks.
Collaborate with business stakeholders, data engineers, architects, and AI product teams to translate complex business problems into AI-powered solutions delivering measurable value.
Minimum Requirements
5 to 8 years of relevant software development/AI engineering experience.
Bachelor's degree in computer science or related field or higher.
Hands-on expertise with Databricks Mosaic AI technologies including Agent Framework, Vector Search, AI Query, Unity Catalog, Model Serving, and Agent Evaluation Framework.
Strong proficiency in Python, SQL, Apache Spark, and familiarity with LangGraph, LangChain, MLflow, OpenAI SDK, Hugging Face, vector databases, and experience developing enterprise AI applications.
Ideal Candidate Profile
Experienced in developing and deploying large-scale, enterprise AI applications using modern AI tooling and platforms.
Able to operate effectively within cross-functional teams involving business stakeholders, architects, and AI product groups.
Demonstrates deep technical knowledge of Generative AI frameworks and Databricks ecosystem for production-grade AI solutions.