AI Engineer

Cloud Analytics Technologies, LLC; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking an experienced AI Engineer to design, develop, implement, and deploy AI/ML solutions in enterprise environments. The role emphasizes Python-based development, modern frameworks, and cloud platforms to deliver scalable AI applications.

You will build Gen AI features, RAG pipelines, and AI-powered services, collaborating with data engineers and software teams. Applicants should have strong Python skills, ML/DL knowledge, and experience with OpenAI/Azure

Qualifications

• Proven experience designing and deploying AI/ML solutions in enterprise settings.
• Strong Python programming skills and ML/DL fundamentals.
• Hands-on experience with cloud platforms and AI tooling (OpenAI, LangChain, REST APIs).

Responsibilities

• Design, develop, and deploy AI/ML models to solve business problems.
• Build scalable AI applications using Python, TensorFlow, PyTorch, and Scikit-learn.
• Develop Generative AI solutions with LLMs and RAG pipelines.
• Collaborate with data engineers and software teams on enterprise projects.
• Implement prompt engineering to improve model accuracy and performance.
• Create AI-powered chatbots and automation solutions.
• Develop data preprocessing, feature engineering, and training pipelines.
• Integrate models with REST APIs and enterprise apps.
• Work with vector stores (Pinecone, FAISS, ChromaDB).
• Deploy and manage models on AWS, Azure, or GCP; monitor and version control (MLOps).
• Ensure security, governance, and responsible AI practices.

Skills

Python

SQL

Java

TensorFlow

PyTorch

Scikit-learn

LLMs

RAG

Prompt Engineering

LangChain

REST APIs

FastAPI

Flask

OpenAI

Azure OpenAI

AWS / GCP / Azure

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

AWS

Azure

GCP

Pinecone

FAISS

ChromaDB

OpenAI

LangChain

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are looking for an experienced AI Engineer to design, develop, implement, and deploy artificial intelligence and machine learning solutions. The ideal candidate should have strong experience in Python programming, machine learning, deep learning, generative AI, and cloud-based AI platforms.

Key Responsibilities:

• Design, develop, and deploy AI and machine learning models to solve complex business problems.
• Build scalable AI applications using Python, TensorFlow, PyTorch, and Scikit-learn.
• Develop and implement Generative AI solutions using Large Language Models (LLMs).
• Work with OpenAI, Azure OpenAI, LangChain, and Hugging Face frameworks.
• Design and develop Retrieval-Augmented Generation (RAG) pipelines.
• Implement prompt engineering techniques to improve AI model accuracy and performance.
• Build AI-powered chatbots and intelligent automation solutions.
• Develop data preprocessing, feature engineering, and model training pipelines.
• Integrate AI models with REST APIs and enterprise applications.
• Work with vector databases such as Pinecone, FAISS, and ChromaDB.
• Deploy and manage AI/ML models using AWS, Azure, or Google Cloud Platform.
• Optimize model performance, scalability, latency, and resource utilization.
• Implement MLOps practices for model deployment, monitoring, and version control.
• Collaborate with data engineers, software developers, and business stakeholders.
• Ensure AI solutions follow security, governance, and responsible AI standards.

Required Technical Skills

Programming: Python, SQL, Java

Frameworks: TensorFlow, PyTorch, Scikit-learn

Generative AI: LLMs, RAG, Prompt Engineering, LangChain

API Development: REST APIs, FastAPI, Flask

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.

Experience building and deploying production-ready AI applications.

Strong understanding of algorithms, statistics, and model evaluation techniques.

Experience working with enterprise-scale AI solutions.

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.

Some of our Business Ventures - Knowledge Analytics

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