Applied AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Applied AI Engineer" in Houston, TX, for an 18 to 20-month contract. Requires a Bachelor's/Master's in Computer Science, 5+ years in software development, and 2-3+ years in GenAI/LLM applications. Proficiency in Python, cloud solutions, and API design is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 8, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#ML (Machine Learning) #API (Application Programming Interface) #Python #AI (Artificial Intelligence) #Docker #Computer Science #GIT #Kubernetes #Azure DevOps #Databases #GCP (Google Cloud Platform) #Microservices #Version Control #Cloud #DevOps #Azure
Role description
Position Title
• Applied AI Engineer Position Responsibilities
Title: AI Engineer
Location: Houston TX, /Onsite in Houston office 3 days per week.
Duatio:18 to 20 Months Contract
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 GCP 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.
Position Title
• Applied AI Engineer Position Responsibilities
Title: AI Engineer
Location: Houston TX, /Onsite in Houston office 3 days per week.
Duatio:18 to 20 Months Contract
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 GCP 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.
