Generative AI Engineer

Brooksource; Nashville (TN); On-site; USD 110,000 - 170,000; Full time

Job summary

Brooksource is seeking a Generative AI Engineer to support enterprise AI initiatives, collaborating with senior AI leadership to build, integrate, and deploy AI solutions that improve business processes and unlock value from enterprise data.

The role emphasizes hands-on development with a strong foundation in AI, ML, or data science and close collaboration with architects, data engineers, and business stakeholders to turn AI concepts into production-ready solutions.

Qualifications

• 3+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering.
• Hands-on experience developing Generative AI applications or machine learning solutions.
• Experience working with Large Language Models (LLMs), prompt engineering, and AI APIs.
• Experience building AI applications using Python or similar programming languages.
• Familiarity with cloud platforms including Microsoft Azure and AWS.

Responsibilities

• Develop and implement Generative AI solutions using modern AI platforms and cloud technologies.
• Build and optimize prompts, AI workflows, and Retrieval-Augmented Generation (RAG) applications.
• Integrate AI solutions with enterprise data platforms including Snowflake, Microsoft Fabric, and cloud-based data services.
• Collaborate with senior AI engineers and architects to implement scalable AI solutions.
• Develop APIs, pipelines, and automation that enable AI-powered applications.
• Build proof-of-concepts and assist with production deployment of AI capabilities.
• Test, troubleshoot, and optimize AI models and applications for performance and reliability.
• Work with data engineering teams to prepare and integrate structured and unstructured data for AI consumption.
• Document technical solutions and contribute to AI development standards and best practices.
• Stay current with emerging AI technologies and recommend improvements to existing solutions.

Skills

Python

Prompt engineering

LLMs

REST APIs

Agile

Tools

Snowflake

Microsoft Fabric

Azure

AWS

LangChain

Semantic Kernel

AutoGen

CI/CD

Vector databases

Job description

Our client is seeking a Generative AI Engineer to support the development and implementation of enterprise AI initiatives. Working alongside senior AI leadership, this individual will help build, integrate, and deploy Generative AI solutions that improve business processes and unlock value from enterprise data.

This role is ideal for an engineer with a strong foundation in AI, machine learning, or data science who enjoys hands‑on development and collaborating with cross‑functional teams. The successful candidate will work closely with architects, data engineers, and business stakeholders to turn AI concepts into production‑ready solutions.

Responsibilities

• Develop and implement Generative AI solutions using modern AI platforms and cloud technologies.
• Build and optimize prompts, AI workflows, and Retrieval-Augmented Generation (RAG) applications.
• Integrate AI solutions with enterprise data platforms including Snowflake, Microsoft Fabric, and cloud‑based data services.
• Collaborate with senior AI engineers and architects to implement scalable AI solutions.
• Develop APIs, pipelines, and automation that enable AI‑powered applications.
• Build proof‑of‑concepts and assist with production deployment of AI capabilities.
• Test, troubleshoot, and optimize AI models and applications for performance and reliability.
• Work with data engineering teams to prepare and integrate structured and unstructured data for AI consumption.
• Document technical solutions and contribute to AI development standards and best practices.
• Stay current with emerging AI technologies and recommend improvements to existing solutions.

Required Qualifications

• 3+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering.
• Hands‑on experience developing Generative AI applications or machine learning solutions.
• Experience working with Large Language Models (LLMs), prompt engineering, and AI APIs.
• Experience building AI applications using Python or similar programming languages.
• Familiarity with cloud platforms including Microsoft Azure and AWS.
• Experience working with:
• Snowflake
• Understanding of REST APIs, data integration, and cloud‑native application development.
• Strong problem‑solving skills and the ability to work in a collaborative Agile environment.

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG), vector databases, or semantic search.
• Experience with LangChain, Semantic Kernel, AutoGen, or similar AI orchestration frameworks.
• Familiarity with MLOps, CI/CD, and deploying AI solutions into production.
• Exposure to AI governance, responsible AI, and enterprise security practices.
• Experience with Microsoft Fabric
• Experience with Curo or similar enterprise data platform
• AWS
• Snowflake
• Microsoft Fabric
• Curo
• Python
• REST APIs