Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer in Mountain View, CA, offering a contract length of "unknown" and a pay rate of "unknown." Requires 5+ years of software engineering experience, expertise in LLMs and RAG, and proficiency in cloud infrastructure.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Mountain View, CA
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Computer Science #TypeScript #Microservices #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Cloud #Scala #Python
Role description
Job Title: AL Engineer
Location: Mountain View, CA
Only looking for local and independent consultant
Qualifications
Core Experience: 5+ years of hands-on software engineering experience, with a proven track record of contributing to complex, scalable systems.
AI Development Experience: Strong experience building with Large Language Models (LLMs) and retrieval-augmented generation (RAG) using Python, and a track record of designing and deploying AI agents or agentic workflows, with familiarity in modern frameworks like LangGraph, AutoGen, or CrewAI.
Technical Proficiency: Solid software engineering practices for building microservices, APIs, and working with cloud-native infrastructure (e.g., AWS, GCP). Experience with TypeScript is a plus.
Educational Foundation: BS/MS in Computer Science, Artificial Intelligence, or a related technical field, or equivalent practical experience.
Job Title: AL Engineer
Location: Mountain View, CA
Only looking for local and independent consultant
Qualifications
Core Experience: 5+ years of hands-on software engineering experience, with a proven track record of contributing to complex, scalable systems.
AI Development Experience: Strong experience building with Large Language Models (LLMs) and retrieval-augmented generation (RAG) using Python, and a track record of designing and deploying AI agents or agentic workflows, with familiarity in modern frameworks like LangGraph, AutoGen, or CrewAI.
Technical Proficiency: Solid software engineering practices for building microservices, APIs, and working with cloud-native infrastructure (e.g., AWS, GCP). Experience with TypeScript is a plus.
Educational Foundation: BS/MS in Computer Science, Artificial Intelligence, or a related technical field, or equivalent practical experience.
