AI engineer

Machine Learning Technologies, LLC; Texas; On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a hands-on AI/ML engineer to design, deploy, and scale agentic AI solutions in production. You will work on LLM-based systems, embeddings, and API integrations across cloud platforms.

You will prototype, evaluate, and evangelize GenAI and traditional AI approaches, collaborating with AI business partners to deliver impact while staying current with emerging trends and best practices.

Qualifications

• Experience delivering AI/ML systems and agents.
• Familiarity with cloud environments (AWS/GCP).
• Strong collaboration with business stakeholders.
• Ability to evaluate and pilot third-party AI solutions.
• Experience with synthetic data generation.

Responsibilities

• Deploy AI/LLM and agentic applications for proof-of-concept demos.
• Scale solutions for production.
• Prototype solutions to inform productization.
• Collaborate with AI Business Partners.
• Stay current on AI trends and evangelize.
• Validate model performance, safety, and readiness.
• Collaborate on data preparation and synthetic data strategies.
• Manage workflows in cloud environments.

Skills

Python

APIs

ML frameworks

Prompt engineering

Model evaluation

AI architecture design

Data preparation

Synthetic data generation

Cloud environments

Tools

GitHub Copilot

Codex

LangChain

Claude Code

ChatGPT

MS Copilot

Job description

• Programming & Frameworks: Python, APIs, ML frameworks, andAItools (GitHub Copilot, Codex, Claude Code, LangChain, ADK, ChatGPT, MS Copilot).
• AI/ML Systems: LLMs (OpenAI GPTs, GoogleAI, Claude), embeddings, and vector databases.
• APIs: Building and managing integrations.
• Core Competencies: PromptEngineering, Model Evaluation & Design, andAIArchitecture Design.
• Data: Preparation and generation.
• Cloud Services: AWS and GCP.
• Conduct R&D onAI/ML technologies and architectures.
• DeployAI/LLM and agentic applications for proof-of-concept demonstrations; assist in scaling solutions for production.
• Explore and implement traditionalAI, GenAI, and AgenticAI.
• Stay current onAItrends and evangelize emerging technologies.
• Evaluate and pilot third-partyAIsolutions for scalability and business value.
• Prototype solutions to inform future productization.
• Collaborate on data preparation and synthetic data generation strategies.
• Validate model performance, safety, and operational readiness.
• Contribute toAIsystem architecture and manage workflows in cloud environments.
• Collaborate withAIBusiness Partners.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.