Agentic AI Lead Engineer with OCR experience - W2 Role

Job Title: Agentic AI Lead Engineer with OCR pipeline building experience

Location(s): Woodland Hills, CA / Atlanta, GA / Richmond, VA (Onsite from Day 1)

Job Type: Contract (W2)

Note: Need Profiles with OCR pipeline building experience

Skill Metrix

Name

Required

GCP

Yes

Vector Databases

Yes

Large Language Model (LLM)

Yes

TypeScript

Yes

LLMs - Open Sources

Yes

Azure

Yes

AWS Cloud

Yes

Python

Yes

AI

Yes

Javascript

Yes

Top Skills

Strong programming experience in Python (required); familiarity with JavaScript/TypeScript is a 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

Role Summary

• 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

Required Qualifications

Technical Skills

Knowledge of vector databases, knowledge graphs, and retrieval-augmented generation (RAG) patterns Familiarity with cloud platforms (Azure/AWS/GCP), containers, and infrastructure-as-code

Conceptual & Enterprise Skills

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.

Preferred Qualifications

Experience implementing multi-agent orchestration in production environments.

Background in enterprise platforms such as ERP, CRM, ServiceNow, or supply chain systems.

Exposure to industry-specific agentic AI use cases (e.g., IT operations, SDLC automation, supply chain, customer service).

Experience collaborating with architects, program leads, and domain experts in large-scale transformations.