Senior Developer - / AI Agentic Engineer

Role Purpose Design, build, and deploy advanced agentic AI systems Establish foundational frameworks and accelerators for future enterprise AI use cases Play a key role in shaping the organization's AI strategy Education Requirements (Any One) Bachelor's degree in Computer Science, Information Technology, or related field, OR 4 years of relevant experience, OR Associate's degree with 2 years of relevant experience Minimum Required Experience 8 years of application development, systems testing, or related IT experience 3-6 years of hands-on experience in: Artificial Intelligence Machine Learning Generative AI-related development Required Technical Skills Core Programming Python (deep hands-on experience) JavaScript / TypeScript AI / Agentic Technologies Generative AI solution development (end-to-end: concept to production) Agentic AI concepts: Reasoning, Planning, Tool usage, Autonomous systems AI tools and frameworks: LangChain, LangGraph, Deep Agents, Claude Skills (or similar) AI models: OpenAI, Claude (or equivalent) AI Concepts Prompt engineering Retrieval-Augmented Generation (RAG) Agentic AI architectures Infrastructure & DevOps Cloud platforms (AWS preferred) Containerization (Docker, Kubernetes) CI/CD pipelines LLM hosting Distributed SDLC tools: GitHub, Pipelines, VS Code, Testing frameworks Platforms & Architecture Container platforms Cloud platforms Document databases API design and integration Nice-to-Have Skills Python frameworks: FastAPI, Flask SQL Agentic AI frameworks and concepts: LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain-of-Thought prompting, Knowledge stores and embeddings Autonomous agent development using cloud-based AI services Model fine-tuning and advanced prompt engineering Reinforcement learning, planning algorithms, and multi-agent systems Experience deploying AI solutions at scale across: AWS, Azure, GCP Day-to-Day Responsibilities Hands-on coding primarily in Python Design and optimize agentic AI systems Build AI agents using frameworks like LangChain Integrate AI agents with backend services Deploy solutions via CI/CD pipelines into cloud environments Research, evaluate, and test new agentic models and frameworks Monitor AI agent behavior in production Collaborate with: Data scientists Business stakeholders Refine requirements and ensure ethical AI deployment Not a Fit For Candidates focused only on: Data analytics Traditional ML (regression, classification) Profiles lacking hands-on Generative AI experience Team & Culture Innovative, collaborative, and empowering team environment Fast-paced, project-oriented setting Multi-platform enterprise environment Strong focus on: Creativity Continuous learning Customer-centric AI solutions Opportunity to build foundational AI tools and accelerators that drive company-wide innovation Join us in beautiful Columbia, SC, where you can enjoy a vibrant community, rich history, and a welcoming environment while advancing your career in AI development.