AI / ML Engineer (Agentic AI & Prompt Engineering)
Role Overview
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
- 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
- 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
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
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
Ready to Apply?
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