GenAI Engineer

Role Overview

We are looking for an experienced LLM / GenAI Engineer to design, develop, and deploy enterprise Generative AI solutions using Databricks Genie, large language models (LLMs), and modern AI frameworks.

What You Will Do

Develop and optimize enterprise GenAI and LLM solutions, build scalable frameworks and architectures for LLM applications, design and implement RAG pipelines and semantic search solutions, and more.

Why It Might Be a Fit

The ideal candidate has strong experience in Python, APIs, MCP integrations, prompt engineering, RAG architectures, and production-ready AI deployment, with a passion for AI innovation and a strong ability to rapidly prototype and develop scalable AI solutions.

Requirements

• 3+ years of experience in AI Engineering, Machine Learning Engineering, Software Engineering, or related roles
• Strong hands-on experience with Python and enterprise AI application development
• Experience working with Databricks Genie, LLM frameworks (LangChain, LlamaIndex, etc.), and Generative AI technologies
• Experience designing and implementing RAG (Retrieval-Augmented Generation) architectures
• Experience with prompt engineering, embeddings, vector databases, and semantic search solutions
• Experience building APIs, AI microservices, and enterprise AI integrations
• Familiarity with MCP frameworks and AI agent communication architectures
• Experience deploying and monitoring scalable AI/LLM solutions in cloud environments
• Experience with AI governance, observability, model evaluation, and security best practices
• Familiarity with MLflow, MLOps, and modern AI deployment practices
• Experience integrating structured and unstructured data into AI workflows

Benefits

• hybrid work
• flexibility of working remotely
• collaboration, connections and professional development benefits of working together in the office