Senior GEN AI Engineer

Flex Employee Services; Plano (TX); Hybrid; USD 47,000 - 79,000; Full time

Benefits offered by this job

Dental insurance

Health insurance

Vision insurance

Referral program

Job summary

Flex Employee Services is hiring a Senior GEN AI Engineer to design, develop, and deploy AI-powered solutions for enterprise applications in a hybrid Plano-based role. You will build production-ready AI apps, fine-tune foundation models, and implement scalable ML pipelines with MLOps practices.

You will work with product managers and engineers to map requirements to AI solutions, ensuring performance, security, and governance across deployments.

Qualifications

• AI-enabled application development experience.
• Strong generative AI fundamentals.
• Strong LLM application frameworks experience.
• Hands-on with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong Python programming skills.

Responsibilities

• Design, develop, and deploy AI/ML solutions for enterprise apps.
• Build and optimize ML/DL models for production environments.
• Develop generative AI apps using LLMs, RAG, and AI agents.
• Fine-tune foundation models with domain data and prompt engineering.
• Establish scalable data pipelines and MLOps practices.

Skills

AI-enabled development

Generative AI fundamentals

LLM applications

Python programming

ML/DL concepts

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

LlamaIndex

Pinecone

Chroma

Weaviate

FAISS

Azure AI

AWS

Google Cloud Platform

Docker

Kubernetes

Job description

Flex Employee Services is hiring a Senior GEN AI Engineer to design, develop, and deploy AI-powered solutions for enterprise applications. The role focuses on machine learning, deep learning, and generative AI using LLMs, including production deployment and MLOps practices, in a hybrid setup based in Plano, TX.

Role Overview

In this position, you will build production-ready AI applications, fine-tune and evaluate foundation models with domain-specific datasets, and implement orchestration patterns for scalable AI systems. You will also partner with product managers, architects, and business stakeholders to translate requirements into deliverable AI solutions.

Responsibilities

• Design, develop, and deploy AI and 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, including prompt engineering 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 map business requirements to 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.

Required Qualifications

• AI-enabled application development experience.
• Strong generative AI fundamentals.
• Strong LLM application frameworks experience.
• Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong programming skills in Python.
• Experience: 7 to 15 years.
• 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, including 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.

Technologies

• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Pinecone
• Chroma
• Weaviate
• FAISS
• LangChain
• LlamaIndex
• Azure AI
• AWS
• Google Cloud Platform
• Docker
• Kubernetes

Location, Schedule, and Pay

Location: Hybrid remote in Plano, TX 75024

Expected hours: No less than 40.0 hours per week

Pay: Up to $57.00 per hour (USD)

Benefits

• Dental insurance
• Health insurance
• Vision insurance
• Referral program

Application Questions

• Are you comfortable working on W2? If not, please hold off on completing the application for now. Another opportunity will be posted in the future for 1099/C2C candidates.
• Are you legally authorized to work in the United States (US Citizen/Green Card Holder)? If not, please hold off on completing the application for now. Another opportunity will be posted in the future for visa candidates.
• Are you comfortable working hybrid at any client's location? If not, please hold off on completing the application for now. Another opportunity will be posted in the future for other roles.
• Do you have 7 years of experience working with Generative AI, LLMs, RAG, AI Agents, and Prompt Engineering?
• Do you have 7 years of experience with Python?
• Do you have 7 years of experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, and Scikit-learn?
• Do you have 5 years of experience with Generative AI Fundamentals?
• Do you have 5 years of experience with LLM Application Frameworks?