Senior Agentic AI Engineer

Gemini Solutions Pvt Ltd; St. Louis (MO); On-site; USD 160,000 - 230,000; Full time

Job summary

Gemini Solutions Pvt Ltd seeks a Senior Agentic AI Engineer to design and scale an enterprise-grade Agentic Harness Platform that enables AI agent development, testing, evaluation, monitoring, governance, and deployment across the organization.

The candidate will bring deep expertise in AI agent frameworks, LLMs, RAG, evaluation systems, observability, and cloud-native architectures to deliver secure, production-ready AI platforms powering enterprise automation and intelligence.

Qualifications

• Experience with cloud platforms such as AWS.
• Hands-on experience with containerization and deployment technologies (Docker).
• Experience building scalable, production-grade AI platforms and services.

Responsibilities

• Design and build enterprise-grade Agentic Harness platforms for AI agent development and operations.
• Develop agent orchestration frameworks supporting single-agent and multi-agent architectures.
• Build automated testing, benchmarking, and evaluation pipelines for AI agents.
• Implement observability, telemetry, tracing, monitoring, and cost-tracking capabilities.
• Design and optimize Retrieval-Augmented Generation (RAG) systems and knowledge retrieval pipelines.
• Integrate AI agents with enterprise applications, databases, APIs, and external tools.
• Define governance, security, deployment, and operational standards for AI platforms.
• Collaborate with architects and engineering teams to deploy scalable AI solutions.
• Evaluate new agentic frameworks, LLM technologies, and AI platform capabilities.
• Improve reliability, performance, and scalability of production AI systems.
• Establish best practices for AI lifecycle management, testing, and monitoring.
• Drive innovation in enterprise AI automation and intelligent workflows.

Skills

AWS

AI platforms

Education

Bachelor’s degree in computer science

Tools

Docker

GitHub Actions

Job description

We are looking for a highly skilled and hands-on Senior Agentic AI Engineer to design, build, and scale an enterprise-grade Agentic Harness Platform that enables the development, testing, evaluation, monitoring, governance, and deployment of AI agents.

The ideal candidate will have deep expertise in AI agent frameworks, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), evaluation systems, observability, and cloud-native architectures. You will play a key role in building reliable, secure, and production-ready AI platforms that power next-generation enterprise automation and intelligence.

Experience And Required Skill Sets:

• Experience with cloud platforms:
• AWS
• Hands-on experience with:
• Knowledge of containerization and deployment technologies:
• Docker
• GitHub Actions
• Experience building scalable, production-grade AI platforms and services.

Governance & Security:

• Strong understanding of:
• Security best practices
• Compliance frameworks

Soft Skills:

• Strong analytical and problem-solving skills.
• Ability to work across engineering, product, and business teams.
• Excellent communication and stakeholder management skills.
• Passion for emerging AI technologies and innovation.

Responsibilities:

• Design and build enterprise-grade Agentic Harness platforms for AI agent development and operations.
• Develop agent orchestration frameworks supporting both single-agent and multi-agent architectures.
• Build automated testing, benchmarking, and evaluation pipelines for AI agents.
• Implement observability, telemetry, tracing, monitoring, and cost-tracking capabilities.
• Design and optimize Retrieval-Augmented Generation (RAG) systems and knowledge retrieval pipelines.
• Integrate AI agents with enterprise applications, databases, APIs, and external tools.
• Define governance, security, deployment, and operational standards for AI platforms.
• Collaborate with architects and engineering teams to deploy scalable AI solutions.
• Evaluate new agentic frameworks, LLM technologies, and AI platform capabilities.
• Improve reliability, performance, and scalability of production AI systems.
• Establish best practices for AI lifecycle management, testing, and monitoring.
• Drive innovation in enterprise AI automation and intelligent workflows.

Preferred Qualifications:

• Experience working with the Microsoft Copilot ecosystem and Azure AI services.
• Prior experience building enterprise AI platforms or AI Centers of Excellence.
• Exposure to AI evaluation methodologies and model governance frameworks.
• Contributions to open-source AI, agentic, or GenAI projects.
• Experience implementing multi-agent collaboration and autonomous workflows

Education:

Bachelor’s degree in computer science, Design, or a related field.