AI Engineer

Artifintech; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Artifintech is seeking an experienced AI Engineer to design, develop, and deploy AI and ML solutions. The ideal candidate will have strong Python, ML, and cloud experience, with proficiency in TensorFlow, PyTorch, and Scikit-learn.

You will build generative AI solutions using LLMs, RAG pipelines, LangChain, and related frameworks, and deploy models via REST APIs. You will collaborate with data engineers and software teams to optimize performance, scalability, and governance, while implementing

Qualifications

• Proficiency in Python and ML frameworks.
• Experience deploying production AI/ML systems.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Strong understanding of algorithms and model evaluation.

Responsibilities

• Design, develop, and deploy AI/ML models to solve business problems.
• Build scalable AI applications using Python and ML frameworks.
• Develop Generative AI solutions using LLMs and RAG pipelines.
• Implement prompt engineering to enhance model 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 databases like Pinecone, FAISS, ChromaDB.
• Ensure security, governance, and responsible AI practices.

Skills

Python

SQL

Java

TensorFlow

PyTorch

Scikit-learn

LLMs

RAG

Prompt Engineering

LangChain

REST APIs

FastAPI

Flask

Education

Bachelor's or Master's degree in Computer Science / AI / Data Science

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.