AI Engineer

• Location: Atlanta, GA
• Type: Contract
• Job #249164

Company Overview
At The Intersect Group, we partner with forward-thinking organizations that are redefining the boundaries of artificial intelligence. Our client operates at the intersection of cutting-edge research and real-world application, with a mission to build scalable, autonomous systems that solve complex challenges. Their culture values innovation, collaboration, and continuous learning—making it an ideal environment for technologists who thrive on pushing the envelope.

Role Summary
We are seeking a Lead AI Engineer to spearhead the design and development of a next-generation Agentic AI platform. This role plays a pivotal part in shaping the technical strategy and infrastructure behind autonomous systems that leverage advanced machine learning and agent-based frameworks.

You will be a Engineer and implement core systems for agentic workflows, including LLM-based pipelines, orchestration logic, and vector-based memory. Your work will directly influence the scalability, performance, and intelligence of AI-driven solutions across the organization. This is a high-impact role for a seasoned technologist who excels in both strategic vision and hands-on execution.

Key Responsibilities

• Lead the design and development of scalable Agentic AI systems.

• Architect LLM pipelines, agent orchestration, and memory systems using vector databases.

• Implement core infrastructure leveraging GCP services such as Vertex AI, BigQuery, Cloud Functions, and Pub/Sub.

• Develop and optimize ML models, workflows, and orchestration logic.

• Drive tooling, infrastructure, and technical strategy decisions across AI initiatives.

• Conduct rigorous model evaluation, A/B testing, and performance benchmarking.

• Collaborate cross-functionally in Agile teams to deliver high-impact solutions.

• Stay current with emerging research and frameworks in agentic and generative AI.

Key Requirements

• 7+ years of experience in AI/ML and data engineering, including large-scale program delivery.

• Deep expertise in Agentic AI architecture and frameworks (LangGraph, CrewAI, Semantic Kernel, etc.).

• Strong proficiency in Python for scalable application development and performance tuning.

• Hands-on experience with generative AI, RAG architecture, and NLP.

• Proven ability to design and implement IR/RAG systems using Vector DB and Knowledge Graphs.

• Familiarity with GCP services and cloud-native development.

• Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.

• Excellent communication skills and adaptability in fast-paced environments.

Ready to Make an Impact?