AI/ML Engineer

Design and implement LLM-based applications and Retrieval-Augmented Generation pipelines using embeddings, vector databases, prompt engineering, orchestration frameworks, and appropriate evaluation methods. Implement production-readiness practices including automated testing, CI/CD, containerization, model versioning, monitoring, observability, drift detection, performance optimization, troubleshooting, and continuous improvement.

Job Title: AI/ML Engineer
Location: Plano, TX (Onsite)
Duration : 6 Month

Salary Range: $52.00 - $55.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2.
 
Experience Required: 10+ Years
Required Experience: 7+ Years in Python for Data Science
Required Skills:

• Python
• Machine Learning
• Deep Learning
• Generative AI / LLMs
• Natural Language Processing (NLP)
• TensorFlow / PyTorch
• Retrieval-Augmented Generation (RAG)
• AI/ML Model Development
• Advanced Java Concepts
• Python for Data Science
• AI Agents

Role Description:

• Strong hands-on expertise in Python and end-to-end AI/ML model development, including data preparation, feature engineering, training, evaluation, optimization, and production integration.
• Proven experience with machine learning and deep learning algorithms, model architectures, experimentation, and frameworks such as TensorFlow and/or PyTorch.
• Hands-on experience building Generative AI and Large Language Model solutions, including prompt engineering, model orchestration, evaluation, guardrails, and enterprise integration.
• Strong knowledge of Natural Language Processing, embeddings, semantic search, and Retrieval-Augmented Generation architectures for grounded AI responses.
• Ability to translate business requirements into scalable AI/ML solutions and collaborate with architects, data engineers, application teams, QA, and business stakeholders.

Roles & Responsibilities:
Responsibility / Expectations from the Role:

• JavaScript, Node.js, and TypeScript for full-stack Analyze business and technical requirements and design scalable AI/ML solutions aligned with enterprise architecture, security, privacy, and responsible AI standards.
• Develop, train, evaluate, tune, and document machine learning, deep learning, NLP, and Generative AI models using Python, TensorFlow, and/or PyTorch.
• Design and implement LLM-based applications and Retrieval-Augmented Generation pipelines using embeddings, vector databases, prompt engineering, orchestration frameworks, and appropriate evaluation methods.
• Collaborate with data engineering, application, cloud, DevOps, QA, architecture, product, and business teams to integrate models into enterprise platforms through APIs and microservices.
• Implement production-readiness practices including automated testing, CI/CD, containerization, model versioning, monitoring, observability, drift detection, performance optimization, troubleshooting, and continuous improvement.

Generic Managerial Skills / Additional Skills:

• development and service integration.
• Guidewire platform knowledge or experience within Property and Casualty insurance applications.
• Agentic AI concepts and the application of AI assistants or autonomous workflows in software engineering.
• GitHub Actions for build, test, security scanning, and deployment automation.
• Experience in BFSI, insurance, or other high-volume enterprise application environments.
• Leadership and stakeholder-management skills to guide a delivery squad and collaborate directly with US-based customers.
• Experience in P&C, insurance, or high-volume enterprise applications.