Senior GEN AI Engineer

HCM Staffing and Consulting Group; Plano (TX); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

HCM Staffing and Consulting Group in Plano, TX seeks a Senior AI Engineer to design, develop, and deploy AI/ML solutions for enterprise applications. You will work with cross-functional teams to translate business needs into scalable AI products, from data pipelines to production-grade models.

You will lead MLOps practices, evaluate foundation models, manage prompts, and mentor junior engineers. Strong Python, TensorFlow/PyTorch, LLMs, and cloud experience are essential for delivering secure,

Qualifications

• Experience designing AI/ML solutions for production environments.
• Hands-on expertise with large language models and AI agents.
• Familiarity with NLP techniques and vector databases.

Responsabilités

• Design, develop, and deploy AI/ML solutions for enterprise applications.
• Build and optimize models for production environments.
• Develop Generative AI apps using LLMs, RAG, and AI agents.
• Fine-tune foundation models; implement prompt engineering and orchestration.
• Create scalable data pipelines for training, evaluation, and deployment.
• Lead MLOps including CI/CD, monitoring, and governance.
• Mentor junior engineers and ensure security, scalability, and compliance.

Connaissances

AI-enabled application development

Generative AI fundamentals

LLM application frameworks

Python

Outils

TensorFlow

PyTorch

Scikit-learn

Description du poste

We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy AI-powered solutions that drive business value. The ideal candidate will have strong experience in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), MLOps, and cloud-based AI platforms. The role involves working closely with cross-functional teams to build scalable AI applications and bring innovative AI solutions into production.

Key Responsibilities:

• Design, develop, and deploy AI/ML solutions for enterprise applications.
• Build and optimize machine learning and deep learning models for production environments.
• Develop Generative AI applications using LLMs, Retrieval-Augmented Generation (RAG), and AI agents.
• Fine-tune and evaluate foundation models using domain-specific datasets. Implement prompt engineering strategies and AI orchestration frameworks such as LangChain or LlamaIndex. Develop scalable data pipelines for model training, evaluation, and deployment.
• Collaborate with product managers, architects, and business stakeholders to translate business requirements into AI solutions.
• Implement MLOps practices including CI/CD, model monitoring, versioning, and governance.
• Ensure AI models meet performance, security, scalability, and compliance requirements.
• Mentor junior engineers and contribute to AI best practices across the organization.

Must have skills :

• AI-enabled Application Development, Generative AI Fundamentals (Strong), LLM Application Frameworks (Strong), Python (Strong)

Required Skills:

• Strong programming skills in Python.
• Hands-on experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Experience working with Generative AI, LLMs, RAG, AI Agents, and Prompt Engineering.
• Knowledge of Natural Language Processing (NLP) techniques and tools.
• Experience with vector databases such as Pinecone, Chroma, Weaviate, or FAISS.
• Familiarity with AI orchestration frameworks including LangChain and LlamaIndex.
• Strong understanding of MLOps tools and practices. Experience with cloud platforms such as Azure AI, AWS, or Google Cloud Platform.
• Knowledge of Docker, Kubernetes, and microservices architecture.
• Strong analytical, problem-solving, and communication skills.