AI Engineer

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent

Skills

API
Artificial Intelligence
Cloud Computing
Collaboration
Communication
Computer Science
Conflict Resolution
Database
Decision-making
DevOps
Docker
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Microservices
Microsoft Azure
Orchestration
Terraform
Python
LlamaIndex
LangChain
Problem Solving
Productivity
Git
Good Clinical Practice
Google Cloud
Google Cloud Platform
Kubernetes
Prompt Engineering
Prototyping
Software Architecture
Software Design
Software Development

Job Details

AI Engineer requirement details.

Location: Houston, TX hybrid 3 days per week onsite

Job Title: Applied AI Engineer

Job Summary:

We are seeking a talented and driven Applied AI Engineer to join our growing Data & AI team. This role is ideal for an experienced software engineer with a deep understanding of generative AI technologies and a passion for building scalable, production-grade AI solutions. You will be responsible for designing, prototyping, and deploying GenAI-powered applications, while also contributing to our AI platform architecture across cloud environments such as Google Cloud Platform (Google Cloud Platform) and Microsoft Azure.


Key Responsibilities:

  • Translate business needs into robust, scalable GenAI technical solutions.
  • Design, prototype, and implement LLM-driven applications using techniques such as RAG, prompt engineering, fine-tuning, and vector search.
  • Develop APIs and reusable software components in Python to support GenAI applications.
  • Leverage orchestration frameworks (e.g., LangChain, LlamaIndex, or LangGraph) to deliver dynamic and modular AI workflows.
  • Collaborate with cross-functional teams to integrate AI capabilities into business applications.
  • Deploy and monitor GenAI models and pipelines using cloud-native tools, Kubernetes, and serverless architectures.
  • Continuously evaluate model and system performance, implementing improvements as needed.
  • Create and maintain technical documentation and support materials for deployed solutions.

Working Conditions:

  • Hybrid work model: Onsite in Houston office 3 days per week.
  • Open office environment.

Minimum Requirements:

  • Bachelor s or Master s degree in Computer Science, AI/ML, or a related field.
  • 5+ years of software development experience with strong Python skills.
  • 2 3+ years of hands-on experience building GenAI/LLM-based applications.
  • Experience developing multi-step agent workflows using LangGraph or similar orchestration frameworks.
  • Proficient in designing retrieval pipelines: document loaders, chunking strategies, embedding models, and vector database integration.
  • Strong grasp of GenAI concepts, including:
    • Retrieval-Augmented Generation (RAG)
    • Embeddings & vector databases (e.g., FAISS, Pinecone, ChromaDB)
    • Prompt engineering and fine-tuning
    • LLM APIs (e.g., OpenAI, Claude, Gemini)
  • Experience deploying cloud-native solutions using Google Cloud Platform and/or Azure.
  • Solid understanding of API design, microservices, and software architecture patterns.
  • Familiarity with version control systems (e.g., Git, Azure DevOps).
  • Experience with Docker and Kubernetes.
  • Demonstrated ability to build and scale AI/ML solutions from proof-of-concept to production.

Preferred Qualifications:

  • Experience with GenAI orchestration tools (e.g., LangChain, LlamaIndex).
  • Familiarity with DevOps practices: Azure DevOps, YAML pipelines, Terraform.
  • Strong interpersonal and communication skills, with the ability to collaborate across teams and influence decision-making.
  • Self-starter with a proactive mindset and strong problem-solving abilities.
  • Ability to work both independently and in collaborative team environments.
  • Interest in leveraging AI tools to enhance productivity and solution delivery.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Cyma Systems Inc