What are the responsibilities and job description for the Agentic AI Lead Engineer with OCR experience - W2 Role position at Info Dinamica Inc?
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 |
| Google Cloud Platform | 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/Google Cloud Platform), 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/Google Cloud Platform), 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.