AI/ML Engineer Frisco TX | Day 1 Onsite | Contract

Job Overview

AI/ML Engineer Frisco TX We are seeking an experienced AI/ML Engineer to join our team in Frisco, Texas. This is a contract opportunity requiring Day 1 onsite availability for a highly skilled professional with strong expertise in Python, Machine Learning, Deep Learning, Generative AI, and modern LLM application development.

The ideal candidate will have 7+ years of overall software engineering experience and hands-on experience designing, developing, deploying, and optimizing AI/ML solutions. Experience with LLMs, RAG applications, LangChain, LlamaIndex, vector databases, embeddings, and prompt engineering is highly valuable for this role.

Position Details

Job Title: AI/ML Engineer
Location: Frisco, TX
Work Arrangement: Day 1 Onsite
Job Type: Contract
Experience: 7+ Years Overall Software Engineering Experience
Specialization: AI/ML / Generative AI / LLM / RAG / Python

Key Responsibilities

• Design, develop, test, and deploy scalable AI/ML applications using Python and modern machine learning technologies.
• Develop machine learning solutions that address complex business and technical requirements.
• Build and deploy Machine Learning, Deep Learning, and Generative AI applications.
• Develop production-ready AI solutions using appropriate ML frameworks and cloud technologies.
• Design and implement LLM-powered applications for enterprise use cases.
• Build Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
• Develop intelligent applications using LangChain, LlamaIndex, embeddings, and vector databases.
• Implement effective prompt engineering techniques to improve LLM accuracy, reliability, and performance.
• Develop data processing and feature engineering pipelines required for machine learning applications.
• Train, evaluate, tune, and optimize machine learning and deep learning models.
• Integrate AI/ML models into enterprise applications and APIs.
• Deploy models and AI applications into production environments.
• Monitor model performance, application behavior, and production reliability.
• Troubleshoot AI/ML application issues and improve system performance.
• Work closely with software engineers, data scientists, data engineers, architects, and business stakeholders.
• Participate in technical design, architecture discussions, code reviews, testing, and deployment activities.
• Develop reusable AI/ML components and follow software engineering best practices.
• Maintain technical documentation for models, pipelines, APIs, prompts, integrations, and deployment processes.

Python & AI/ML Development

Strong hands-on experience with Python is required.

The candidate should be comfortable using Python for:

• Machine learning development
• Data processing
• Model training
• Model evaluation
• AI application development
• Automation
• API development
• Data pipelines
• LLM integrations

Strong software engineering fundamentals and the ability to develop clean, maintainable, and production-ready Python code are essential.

Machine Learning & Deep Learning

The selected candidate should have practical experience across Machine Learning and Deep Learning.

Experience should include:

• Model development and training
• Feature engineering
• Model evaluation
• Model optimization
• Classification and prediction
• Neural networks
• Model deployment
• Production monitoring
• Performance optimization

Experience with one or more major ML frameworks is required.

ML Frameworks

Strong hands-on experience with one or more of the following:

• PyTorch
• TensorFlow
• Scikit-learn
• Similar machine learning and deep learning frameworks

The candidate should be able to select appropriate frameworks based on project requirements and develop scalable ML solutions.

Generative AI & LLM

Strong experience with Generative AI and Large Language Models (LLMs) is highly important for this position.

The candidate should have experience:

• Building LLM-powered applications.
• Integrating foundation models into enterprise applications.
• Developing production-ready GenAI solutions.
• Working with LLM APIs and model integrations.
• Evaluating LLM responses and application performance.
• Improving LLM application accuracy and reliability.
• Designing AI workflows around enterprise business requirements.

RAG & Vector Databases

Hands-on experience building Retrieval-Augmented Generation (RAG) applications is required.

The candidate should understand:

• Document ingestion
• Data chunking
• Embeddings
• Semantic search
• Vector databases
• Retrieval pipelines
• Context augmentation
• LLM response generation
• RAG evaluation and optimization

Experience working with vector databases and embedding technologies will be highly valuable.

LangChain & LlamaIndex

Experience with modern LLM orchestration frameworks such as LangChain and LlamaIndex is preferred.

The candidate should be able to use these technologies to build:

• LLM workflows
• RAG pipelines
• AI agents
• Retrieval systems
• Tool integrations
• Enterprise AI applications

Prompt Engineering

Strong understanding of prompt engineering is desirable.

Responsibilities may include developing and optimizing prompts to improve:

• Accuracy
• Relevance
• Consistency
• Context awareness
• Task completion
• LLM application performance

The candidate should understand how prompt design, context management, retrieval, and model behavior affect overall application quality.

Required Qualifications

• 7+ years of overall software engineering experience.
• Strong hands-on experience with Python.
• Strong AI/ML development experience.
• Experience with Machine Learning and Deep Learning.
• Hands-on experience with Generative AI.
• Experience with PyTorch, TensorFlow, Scikit-learn, or similar ML frameworks.
• Experience building and deploying LLM applications.
• Strong experience with RAG applications.
• Knowledge of LangChain and/or LlamaIndex.
• Experience with vector databases and embeddings.
• Understanding of prompt engineering.
• Strong software development and problem-solving skills.
• Ability to work collaboratively with technical and business teams.
• Willingness to work Day 1 onsite in Frisco, TX.

Ideal Candidate

The ideal candidate is a senior AI/ML Engineer who combines strong software engineering fundamentals with modern AI capabilities.

You should be comfortable moving from Python and traditional machine learning to deep learning, Generative AI, LLMs, RAG, vector databases, and AI application deployment.

Hands-on experience taking AI/ML solutions from development through production deployment will be particularly valuable.

Work Location

📍 Frisco, Texas

Day 1 Onsite is required.

Candidates should be prepared to work onsite from the beginning of the engagement.

How to Apply

Qualified candidates with strong Python, AI/ML, Generative AI, LLM, RAG, LangChain, LlamaIndex, and vector database experience are encouraged to submit their updated resume.

📩 Share Resume:
vijayalaxmi.a@eraytec.com

Please include your current location, total experience, AI/ML experience, LLM/RAG experience, and availability when submitting your profile.