Agentic AI Engineer-Contract Role

Role Summary

The Agentic AI Engineer is responsible for designing, developing, and deploying intelligent

AI agents and autonomous workflow solutions that automate complex business processes.

The role combines expertise in Generative AI, Large Language Models (LLMs), workflow

orchestration, API integration, and enterprise application development to create scalable AI-

powered solutions.

The engineer will work closely with business stakeholders, product teams, and technology

teams to identify automation opportunities and deliver agentic AI systems that improve

operational efficiency, decision-making, and user experience.

Key Responsibilities

AI Agent Development

• Design and develop autonomous AI agents using modern LLM frameworks.

• Build multi-agent systems capable of planning, reasoning, and task execution.

• Develop AI assistants, copilots, and workflow automation solutions.

• Implement prompt engineering and agent orchestration strategies.

Workflow Automation

• Design and automate end-to-end business workflows using AI agents.

• Integrate AI capabilities into existing enterprise applications and processes.

• Build event-driven and rule-based automation pipelines.

• Optimize workflow efficiency and scalability.

Integration & Development

• Integrate AI solutions with enterprise systems, APIs, databases, and third-party

platforms.

• Develop secure and scalable backend services for AI applications.

• Build Retrieval-Augmented Generation (RAG) solutions using vector databases.

• Implement tool calling and function execution capabilities.

Solution Architecture

• Translate business requirements into AI-powered technical solutions.

• Design reusable frameworks and components for agentic workflows.

• Ensure scalability, reliability, and maintainability of AI solutions.

Governance & Security

• Implement responsible AI practices and security controls.

• Ensure compliance with organizational standards and regulatory requirements.

• Monitor model performance and mitigate risks associated with AI deployment.

Collaboration

• Collaborate with business teams to identify automation opportunities.

• Work with architects and engineering teams on enterprise integrations.

• Mentor junior developers and contribute to AI best practices.

Required Qualifications

Education

• Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related field.

Experience

• 5 to 9 years of software development experience.

• Minimum 2 years of experience working with Generative AI and LLM-based applications.

• Experience designing and deploying enterprise automation solutions.