Role: Senior AI Engineer
Location: Atlanta, GA (Hybrid)
First Priority will be given for Locals GA candidates then FL, SC, NC, TN
12+ Months COntract
Key Responsibilities
• Design and build production-ready AI/ML applications, agentic workflows, and intelligent automation systems from concept through deployment
• Develop full-stack solutions — backend services, APIs, data pipelines, and front-end interfaces — that embed AI capabilities into real products
• Engineer agentic AI systems using LangChain and LangGraph, orchestrating multi-step reasoning, tool use, and autonomous task execution
• Build and deploy solutions across AWS Bedrock, Microsoft Azure AI, and Google Cloud Platform (Google Cloud Platform) Vertex AI, selecting the right platform for each use case
• Integrate foundation models from Anthropic (Claude), OpenAI (GPT), and Hugging Face into scalable, reliable applications
• Implement MLOps and AgentOps pipelines — automated training, evaluation, deployment, monitoring, and lifecycle management for models and agents
• Establish AI governance and observability practices using Credo AI for responsible-AI compliance and Fiddler for model monitoring, explainability, and drift detection
• Accelerate development velocity using GitHub Copilot and next-generation AI dev tools such as Devin and Windsurf
• Write clean, maintainable, production-quality code in Python and Node.js daily
• Collaborate with cross-functional teams — product managers, designers, data scientists, and fellow engineers — communicating technical concepts clearly to both technical and non-technical stakeholders
• Mentor junior engineers on AI best practices, code quality, and modern development workflows
• Stay current with the rapidly evolving AI landscape and proactively introduce new tools, techniques, and architectures
Required Skills & Experience
Every skill listed below is mandatory for this role.
Qualifications
• 12+ years of professional software engineering experience
• 5+ years in AI-focused engineering roles, building and shipping AI/ML-powered products
• Demonstrated track record of hands-on, end-to-end delivery — you have personally designed, coded, tested, and deployed AI systems in production
• Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, or a related field (or equivalent practical experience)
Why This Role Stands Out
This is a high-impact, hands-on engineering role for someone who thrives on building. You will work with the latest AI models, frameworks, and tools — and you will be expected to ship working software, not just advise on it. If you love writing code, solving hard problems, and pushing the boundaries of what AI can do in production, this role is for you.
