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Senior GEN AI Engineer
Career Insights for Natural Language Processing Engineer
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Based on Texas data
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What they do
A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
$113,745 / year median in Texas
Job Description
Senior GEN AI Engineer Flex Employee Services Plano, TX Job Details Contract $70
•$80 an hour 3 hours ago Benefits Referral program Qualifications AI models Containerization systems Enterprise software Generative models AI platforms (beyond public GPTs) Computational framework Prompt engineering Microservices Machine learning cloud services AWS Machine intelligence Developing large-scale AI models Natural language processing Organizational skills Cloud solution engineering Machine learning libraries Machine learning frameworks MLOps Generative AI Full Job Description Must have skills : AI-enabled Application Development, Generative AI Fundamentals (Strong), LLM Application Frameworks (Strong), Python (Strong)
• 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.
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.
Pay:
$70.00
•$80.00 per hour Expected hours: No less than 40.0 per week
Benefits:
Referral program Application Question(s): Are you amenable to working on W2? Are you legally authorized to work in the United States, US Citizen/Green Card Holder? Are you willing to work on a contract basis? How many years of experience do you have with AI-enabled Application Development? How many years of experience do you have with Generative AI Fundamentals? How many years of experience do you have with Python? How many years of experience do you have with LLM Application Frameworks? How many years of experience do you have with TensorFlow, PyTorch, and Scikit-learn? How many years of experience do you have with vector databases such as Pinecone, Chroma, Weaviate, or FAISS? How many years of experience do you have with cloud platforms such as Azure AI, AWS, or Google Cloud Platform?
Work Location:
Hybrid remote in Plano, TX 75074
Benefits
- Dental Insurance