Agentic AI Lead Engineer with OCR experience - W2 Role

About the role

The Agentic AI Engineer is responsible for designing, building, and operationalizing agentic AI driven automation solutions that autonomously plan, reason, and execute complex enterprise workflows.

This role focuses on leveraging multi-agent architectures, LLMs, orchestration frameworks, and enterprise integrations to automate business and IT processes with minimal human intervention, while ensuring security, governance, and Responsible AI compliance.

The engineer will work closely with enterprise architects, domain experts, platform teams, and business stakeholders to transform manual or rule-based workflows into intelligent, adaptive, agent-driven systems that deliver measurable business outcomes.

Responsibilities

• Design and build agentic AI driven automation solutions that autonomously plan, reason, and execute complex enterprise workflows.
• Leverage multi-agent architectures, LLMs, orchestration frameworks, and enterprise integrations to automate business and IT processes with minimal human intervention.
• Ensure security, governance, and Responsible AI compliance in all projects.
• Work closely with enterprise architects, domain experts, platform teams, and business stakeholders to transform manual or rule-based workflows into intelligent, adaptive, agent-driven systems.
• Collaborate with architects, program leads, and domain experts in large-scale transformations.

Requirements

• Knowledge of vector databases, knowledge graphs, and retrieval-augmented generation (RAG) patterns.
• Familiarity with cloud platforms (Azure/AWS/GCP), containers, and infrastructure-as-code.
• Strong understanding of agentic AI concepts: autonomy, planning, reasoning, action, learning, and reflection.
• Experience translating business processes into automated, AI-driven workflows.
• Awareness of Responsible AI, security, and governance considerations in enterprise environments.

Qualifications

• Technical Skills: Strong programming experience in Python (required); familiarity with JavaScript/TypeScript is a plus.
• Conceptual & Enterprise Skills: Strong understanding of agentic AI concepts: autonomy, planning, reasoning, action, learning, and reflection.

Skills

• Strong programming experience in Python (required).
• Familiarity with JavaScript/TypeScript (plus).
• Hands-on experience with LLMs, Generative AI, and agent frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI or similar).
• Experience building workflow automation solutions using APIs, event-driven systems, and microservices.

Benefits

Not specified.

Pay

Not specified.

Schedule

Not specified.