

Forsyth Barnes
AI Engineer (Ref: 193732)
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Software Engineer (Contract) in New York City (Hybrid) with a pay rate of "unknown." Requires 5+ years in software engineering, expertise in generative AI tools, and cloud experience (AWS, Azure, GCP).
๐ - Country
United States
๐ฑ - Currency
$ USD
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๐ฐ - Day rate
Unknown
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๐๏ธ - Date
November 19, 2025
๐ - Duration
Unknown
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๐๏ธ - Location
Hybrid
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๐ - Contract
Unknown
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๐ - Security
Unknown
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๐ - Location detailed
New York, United States
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๐ง - Skills detailed
#DevOps #Java #Compliance #JavaScript #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Cloud #GCP (Google Cloud Platform) #Azure #Unit Testing #Consulting #Python #GitHub
Role description
๐ผ Job Title: AI Software Engineer (Contract)
๐ฐ Industry: Software Engineering
๐ Location: New York City (Hybrid)
We are currently supporting a leader in digital product innovation who partner with Fortune 50 enterprises and startups to bring next-generation platforms to market. Their team is dedicated to supercharging engineering teams through the strategic adoption and masterful use of AI-driven tools. They are seeking an AI Software Engineer to champion this mission and help transform how engineering teams build, test, and deploy software.
As an AI Software Engineer, youโll build AI-powered solutions, and mentor client engineering teams to adopt generative AI tools like GitHub Copilot, Google Gemini, and Amazon CodeWhisperer. This role blends hands-on development with training and enablement, driving measurable improvements in productivity, innovation, and client success.
๐งพ Key Responsibilities:
โข Build and deploy AI-powered solutions, integrating automated unit testing and CI/CD workflows.
โข Act as a subject matter expert on generative AI tools, providing technical guidance and best practices.
โข Partner with engineering managers to drive adoption and change management across client teams.
๐ง Skills & Experience:
โข 5+ years of hands-on software engineering experience across multiple languages (Python, Java, JavaScript, Go).
โข Demonstrable expertise with generative AI tools (GitHub Copilot, Google Gemini, Amazon CodeWhisperer).
โข Strong background in SDLC, DevOps, CI/CD pipelines, and testing frameworks.
โข Consulting mindset with experience tailoring solutions to diverse client environments.
โข Cloud experience (AWS, Azure, GCP) and familiarity with enterprise compliance frameworks (ISO, SOC2).
๐ผ Job Title: AI Software Engineer (Contract)
๐ฐ Industry: Software Engineering
๐ Location: New York City (Hybrid)
We are currently supporting a leader in digital product innovation who partner with Fortune 50 enterprises and startups to bring next-generation platforms to market. Their team is dedicated to supercharging engineering teams through the strategic adoption and masterful use of AI-driven tools. They are seeking an AI Software Engineer to champion this mission and help transform how engineering teams build, test, and deploy software.
As an AI Software Engineer, youโll build AI-powered solutions, and mentor client engineering teams to adopt generative AI tools like GitHub Copilot, Google Gemini, and Amazon CodeWhisperer. This role blends hands-on development with training and enablement, driving measurable improvements in productivity, innovation, and client success.
๐งพ Key Responsibilities:
โข Build and deploy AI-powered solutions, integrating automated unit testing and CI/CD workflows.
โข Act as a subject matter expert on generative AI tools, providing technical guidance and best practices.
โข Partner with engineering managers to drive adoption and change management across client teams.
๐ง Skills & Experience:
โข 5+ years of hands-on software engineering experience across multiple languages (Python, Java, JavaScript, Go).
โข Demonstrable expertise with generative AI tools (GitHub Copilot, Google Gemini, Amazon CodeWhisperer).
โข Strong background in SDLC, DevOps, CI/CD pipelines, and testing frameworks.
โข Consulting mindset with experience tailoring solutions to diverse client environments.
โข Cloud experience (AWS, Azure, GCP) and familiarity with enterprise compliance frameworks (ISO, SOC2).






