Agentic AI Engineer

Cynet Systems • Charlotte, NJ

1d

About The Position

This role focuses on designing, building, and deploying AI agents to automate or augment business processes. The Agentic AI Engineer will partner with business stakeholders to understand workflows, identify opportunities for AI integration, and translate these into working solutions. The position involves full-stack development, including agent logic, application layers, integrations, APIs, and data pipelines. Rapid prototyping, user validation, and iteration are key. The engineer will also evaluate and select appropriate AI frameworks and models, ensure agents meet enterprise standards for security and scalability, and act as a technical advisor on agentic AI capabilities.

Requirements

• Strong full-stack software engineering background (front-end, back-end, APIs, data layer) with hands-on coding ability.
• Direct, hands-on experience building AI agents or agentic workflows (e.g., using LLM orchestration frameworks, tool-calling/function-calling, RAG pipelines, or multi-agent systems).
• Demonstrated ability to independently identify business opportunities for AI/agentic involvement.
• Comfort working directly with business stakeholders to scope ambiguous problems and translate them into working solutions.
• Experience with cloud platforms (AWS/Azure/GCP) and modern data/AI tooling.
• Strong verbal and written communication skills.
• Comfort with fast iteration cycles and evolving requirements typical of emerging-technology initiatives.
• Prior experience in a Forward Deployed Engineer, Applied AI Engineer, or Solutions Engineer role.
• Experience with agent frameworks/tooling such as LangChain, LangGraph, AutoGen, Semantic Kernel, or similar.
• Domain knowledge in Wealth Management, Retirement Services, or broader financial services.
• Experience with enterprise AI governance, model risk, or responsible AI practices in a regulated industry.
• Prior startup, consulting, or client-facing delivery experience.

Responsibilities

• Partner with business stakeholders across the organization to understand workflows and pain points, and proactively identify areas where agentic AI can drive meaningful improvement.
• Design, build, and deploy AI agents that automate or augment business processes from initial concept through production deployment.
• Work full-stack to build the agent logic/orchestration as well as the surrounding application layer, integrations, APIs, and data pipelines needed to make an agent usable in a real workflow.
• Rapidly prototype agentic solutions, validate them with business users, and iterate quickly based on feedback.
• Evaluate and select appropriate agent frameworks, tooling, and LLM/model choices for each use case.
• Partner with platform/architecture teams to ensure agents are secure, scalable, auditable, and aligned with enterprise AI governance standards.
• Own technical delivery of assigned use cases end-to-end including Client, build, deployment, and post-launch monitoring/tuning.
• Act as a trusted technical voice for agentic AI within the organization, educating business partners on realistic capabilities and limitations.
• Identify patterns across use cases and feed reusable agent components/frameworks back to the broader engineering organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed