Artificial Intelligence Architect

NeerInfo Solutions; Tampa (FL); On-site; USD 120,000 - 190,000; Full time

Job summary

NeerInfo Solutions Pvt. Ltd. is seeking a skilled AI engineer to develop and deploy generative AI models, build LLM-powered agents, and orchestrate complex workflows in enterprise environments.

You will design MCP integrations, create reusable AI components, and manage the full AI lifecycle from data prep to deployment. Familiarity with Azure AI services is highly valued, with a focus on responsible AI practices.

Qualifications

• Experience in developing and applying generative AI models.
• Strong Python engineering skills with hands-on LLM-powered app development and AI agents.
• Proficiency in Python, FastAPI; familiarity with TensorFlow or PyTorch.
• Experience with Azure and Microsoft AI services is desirable.
• Ability to build reasoning, planning, tool invocation, and enterprise integration for AI agents.
• Design and implement single- and multi-agent architectures and MCP integrations.
• Develop reusable skills, tools, prompts, and agent capabilities for reuse.
• Build and deploy Managed/hosted Agents on enterprise AI platforms.
• Manage full AI lifecycle from data prep to deployment and evaluation.
• Stay current with AI research and contribute to capability improvements.
• Champion responsible AI focusing on bias, fairness, and explainability.

Responsibilities

• Develop and scale generative AI models and associated workflows.
• Build and maintain LLM-powered agents and orchestrations across use cases.
• Create MCP clients/servers to securely expose data and APIs to agents.
• Design reusable Skills, prompts, and tooling for cross-use across projects.
• Lead AI lifecycle activities from data prep to deployment and monitoring.

Skills

Generative AI

Python engineering

LLM-powered apps

AI agents

Agent orchestration

MCP integrations

Reusable AI skills

Managed Agents

RAG solutions

Azure AI services

Multi-agent architecture

Lifecycle management

Tools

FastAPI

TensorFlow

PyTorch

Azure AI

Job description

Required Skill and Experience

• Experience in developing and applying generative AI models.


• Strong understanding of Python engineering skills combined with hands-on experience building LLM-powered applications, AI agents, agent orchestration, Model Context Protocol (MCP) integrations, reusable AI Skills, Managed Agents, and Retrieval-Augmented Generation (RAG) solutions


• Proficiency in programming languages like Python, FastAPI and familiarity with deep learning frameworks like TensorFlow or PyTorch.


• Experience with Azure and Microsoft/Azure AI services is highly desirable.


• Build LLM-powered AI agents capable of reasoning, planning, tool invocation, workflow execution, and interaction with enterprise systems.


• Design and implement single-agent and multi-agent architectures, including agent orchestration, delegation, handoffs, and collaboration patterns


• Design and implement Model Context Protocol (MCP) clients and servers to expose enterprise data, APIs, and capabilities securely to AI agents


• Develop reusable Skills, tools, prompts, and agent capabilities that can be shared across multiple agents and use cases.


• Build and deploy Managed Agents / hosted agents using enterprise AI platforms and agent services


• Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment.


• Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities.


• Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability.

Preferred Skill and Experience

• Experience in Open-Source tools and technologies


• Consistent score in Coding sites like Hackerrank, CodeChef etc.


• Industry-acclaimed External Certifications, if applicable


• Active participation in Technology forums


• Contribution to Open-Source Community.


• Effective collaboration and communication skills


• Excellent problem-solving skills and a strong analytical mind.


• Experience working in a collaborative and fast-paced environment.