

Gen AI Tech Lead
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Tech Lead with 7+ years in AI, 2+ years in software engineering, and expertise in Azure/GCP, FastAPI, and vector databases. Contract length and pay rate are unspecified.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 18, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Automation #FastAPI #Microsoft Azure #Python #Azure #Databases #AI (Artificial Intelligence) #BERT #Programming #ML (Machine Learning) #GCP (Google Cloud Platform) #Cloud
Role description
β’ 7+ years of hands-on experience in Artificial Intelligence, demonstrating true mastery and a relentless passion for AI innovation, with a portfolio of projects that showcase significant innovation and technical depth.
β’ Minimum 2 years of proven software engineering experience, with a record of building, deploying, and owning robust production systems.
β’ Proficient in cloud platforms, with advanced proficiency in Microsoft Azure and/or Google Cloud Platform (GCP); must be able to deploy, scale, and automate cloud-native solutions with confidence.
β’ Expert-level proficiency in FastAPI and modern web frameworks; must architect high-performance, asynchronous services with ease.
β’ Demonstrated experience migrating traditional machine learning models to Generative AI, including hands-on work with multimodal LLMs, SLMs, and BERT.
β’ Proficient in designing, building, and orchestrating agentic AI automation systems.
β’ Advanced, production-grade expertise in vector databases (e.g., FAISS, Pinecone, AzureAISearch); must manage embeddings at scale and optimize for performance.
β’ Strong Python programming skills;
β’ 7+ years of hands-on experience in Artificial Intelligence, demonstrating true mastery and a relentless passion for AI innovation, with a portfolio of projects that showcase significant innovation and technical depth.
β’ Minimum 2 years of proven software engineering experience, with a record of building, deploying, and owning robust production systems.
β’ Proficient in cloud platforms, with advanced proficiency in Microsoft Azure and/or Google Cloud Platform (GCP); must be able to deploy, scale, and automate cloud-native solutions with confidence.
β’ Expert-level proficiency in FastAPI and modern web frameworks; must architect high-performance, asynchronous services with ease.
β’ Demonstrated experience migrating traditional machine learning models to Generative AI, including hands-on work with multimodal LLMs, SLMs, and BERT.
β’ Proficient in designing, building, and orchestrating agentic AI automation systems.
β’ Advanced, production-grade expertise in vector databases (e.g., FAISS, Pinecone, AzureAISearch); must manage embeddings at scale and optimize for performance.
β’ Strong Python programming skills;