AI Engineer

F2F Drive for Tampa, FL location on 14th Nov 2026.

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Visa: USC, GC, and GC-EAD

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Before Submission checkpoints:

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1. There will be F2F round of Technical Discussion

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2. Mandatory coding evaluation in Round 1 interview.

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3. No remote options: willing to work on hybrid model, Min 3 days in office

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Required Skill and Experience

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Experience in developing and applying generative AI models.

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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

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

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

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

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

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

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

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

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

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

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

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Preferred Skill and Experience

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Experience in cloud-based platforms like Azure & Microsoft / Azure AI services

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Experience in Open-Source tools and technologies

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Consistent score in Coding sites like Hackerrank, CodeChef etc.

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Industry-acclaimed External Certifications, if applicable

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Active participation in Technology forums

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Contribution to Open-Source Community.

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Effective collaboration and communication skills

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Excellent problem-solving skills and a strong analytical mind.

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Experience working in a collaborative and fast-paced environment.

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