AI / ML Engineer (Agentic AI & Prompt Engineering)

Data \& AIOnsiteContractID: REQ-43678

N2P Systems

Plano, TX 8\+ years From $60 USD / hr Posted 3 weeks ago

Role Overview

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We are seeking a senior-level AI/ML Engineer with extensive expertise in Agentic AI and Prompt Engineering to design, deploy, and scale advanced AI solutions. This role focuses on translating cutting-edge Large Language Model (LLM) patterns into robust production systems. The ideal candidate brings 8\+ years of software engineering and machine learning experience, specializing in complex prompt optimization (zero-shot, few-shot, ReAct, chain-of-thought), Retrieval-Augmented Generation (RAG) architectures, and vector database integrations.

Key Responsibilities

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• Design, optimize, and chain complex structured prompts using advanced techniques (ReAct, self-consistency, decomposition, and verification strategies).
• Build and maintain production-ready Retrieval-Augmented Generation (RAG) pipelines leveraging modern embedding models, vector search, and context management.
• Integrate LLM workflows and agentic capabilities seamlessly into core application architectures via REST APIs.
• Establish guardrails, safety mechanisms, compliance protocols, and evaluation frameworks for conversational and autonomous AI flows.
• Preprocess multi-modal data, engineer features, and optimize end-to-end ML models from design through production deployment.

Required Skills \& Qualifications

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• 8\+ years of experience in AI/ML software engineering with a strong emphasis on LLMs and generative systems.
• Production experience with major foundation models (OpenAI, Anthropic, LLaMA, Mistral, Gemini) and knowledge of tokenization, reasoning patterns, and model behaviors.
• Deep understanding of RAG components, including vector databases (e.g., FAISS, Milvus, Pinecone), chunking strategies, and embedding models.
• Advanced Python expertise and hands-on experience integrating LLM capabilities into RESTful service architectures.
• Solid understanding of core software development hygiene, including version control (Git), API contracts (JSON, YAML), and experiment tracking.
• Background in Computer Vision architectures and image processing projects.
• Hands-on experience with modern deep learning frameworks such as PyTorch or TensorFlow.
• Exposure to enterprise MLOps tools, continuous integration pipelines, and cloud platform infrastructure.

Role Pre-Screening Criteria

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Applicants will be asked to answer the following qualifying questions when applying for this position:

• 1Are you legally authorized to work in the United States without visa sponsorship?
• 2Do you have 8\+ years of hands-on experience building, deploying, and optimizing ML/AI systems, including Agentic AI and prompt engineering strategies?
• 3What is your earliest available start date?

Target Tech Stack

Prompt Engineering \& LLMsRetrieval-Augmented Generation (RAG)Vector DatabasesMachine LearningPythonREST APIsComputer VisionPyTorchTensorFlowMLOpsPrompt EngineeringAgentic AILLMRAGGitJSONYAMLFAISSMilvusPinecone

Quick Details

Location

Plano, TX

Employment Type

Contract

Work Arrangement

Onsite

Experience Level

8\+ years

Compensation

From $60 USD / hr

Domain Focus

Data \& AI

Requisition Ref

REQ-43678