Agentic AI Lead Engineer with OCR experience W2 Role
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Job Location:
Woodland Hills, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
1 hour ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Agentic AI Lead Engineer with OCR pipeline building experience
Location(s): Woodland Hills CA / Atlanta GA / Richmond VA (Onsite from Day 1)
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
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.
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.
