> Markdown version of [/jobs/ext/926205-ai-engineer](https://www.wearedevelopers.com/jobs/ext/926205-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Insight Global - **Location:** Dunwoody, GA, United States - **Salary:** $104,000.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Database Queries, Github, IT Management, Python (Programming Language), NumPy, SQL Databases, Pytorch, Retrieval-Augmented Generation, Large Language Models, Pandas, Scikit Learn, Information Technology, HuggingFace, Free and Open-Source Software, Virtual Agents, GPT, Software Version Control, Data Pipelines - **Published:** June 18, 2026 - **Apply:** https://dejobs.org/x/x/97897BB50DF14A7685469B66808D6661/job/ ## About the Role * BS or MS in Computer Science, Engineering, Data Science, or related field from a strong academic program * Python as primary language - proficiency with AI/ML libraries (PyTorch, HuggingFace Transformers, Scikit-learn, Pandas, NumPy) * Hands-on experience with LLMs (e.g., GPT, Gemini, Flan-T5, LLaMA, etc.) * Strong SQL skills and experience working with large-scale data (optimization, schema design, pipeline development) * Familiarity with cloud platforms (GCP preferred but not a deal-breaker; AWS/Azure acceptable) * Version control proficiency (Git/GitHub) * Open-source contributions or a strong GitHub portfolio * Teaching assistant experience (demonstrates communication + mentorship ability) ## Description Pay Rate: $50-60/hr This is a high-visibility, high-impact opportunity to join a small, elite team driving Agentic AI innovation within one of the largest data ecosystems in the world. As part of this team, you will report directly to engineering leadership on a dedicated initiative focused on accelerating enterprise use cases through Agentic AI - including legacy code modernization, data pipeline optimization, and workflow automation. The team has already proven out early success and is now expanding to deliver additional pilots. This is intentionally a lean, two-person engineering team designed to move fast and stay nimble. You'll have direct ownership over meaningful work and the autonomy to drive real outcomes. What You'll Do * Design, build, and deploy AI agents and agentic workflows to automate and accelerate enterprise processes across code modernization, data pipelines, and operational workflows * Engineer RAG (Retrieval-Augmented Generation) pipelines to ground LLMs in domain-specific enterprise data for accurate, context-aware outputs * Develop and iterate on LLM-powered tools and automation using frameworks like LangChain, HuggingFace, and similar agentic AI tooling * Optimize and modernize data pipelines and SQL-based systems for performance and scalability * Collaborate directly with IT leadership and cross-functional stakeholders (product, analytics, business) to translate ambiguous problems into working solutions * Operate with a bias toward action - move quickly from idea to execution in a fast-paced, pilot-driven environment * Contribute to the broader AI strategy by proving out new use cases and building reusable patterns for the enterprise What We're Really Looking For (Intangibles > Existing Knowledge) The hiring manager has emphasized that fast learner takes priority over existing knowledge and is looking for the following intangibles above all: * Exceptional raw intellect & learning velocity - demonstrated ability to quickly absorb new domains, synthesize information, and operate with limited guidance * Elite problem-solving ability - breaks down ambiguous problems, forms hypotheses, and iterates toward solutions with rigor and creativity * High curiosity & ownership mindset - proactively explores "why" and "what's next," not just "what's assigned" * Evidence of innovation - history of building, experimenting, or improving systems (side projects, startups, open-source contributions, academic research) * Bias toward action - moves quickly from idea to execution; comfortable operating in ambiguity and imperfect conditions * Strong communication skills - can articulate complex ideas clearly to both technical and non-technical stakeholders * Leadership potential - demonstrates initiative, influence, and the ability to elevate others even without formal authority * Cultural fit: low ego, high accountability - collaborates well, takes responsibility for outcomes, and prioritizes team success over individual credit Why This Opportunity * High-impact ownership - This role sits close to critical data products and infrastructure that directly influence business decisions and operational outcomes across one of the largest data ecosystems in the world * Modern engineering culture - The team is leaning into automation, AI-assisted development, and emerging agentic workflows to improve engineering speed and quality * Ownership with autonomy - This isn't a ticket-taking role. Engineers drive design decisions, influence roadmaps, and partner directly with stakeholders * Cross-functional visibility - Collaborate closely with product, analytics, and business teams for broad organizational exposure ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)