

GCP AI Engineer with Terraform, AI Ops
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP AI Engineer with Terraform and AI Ops, offering a contract-to-hire position. It requires 6+ years of development experience, proficiency in Typescript, Python, and Terraform, and familiarity with AI models and cloud environments. Remote work available.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 21, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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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
#Terraform #Python #Data Storage #SaaS (Software as a Service) #Storage #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Agile #GitHub #Requirements Gathering #Cloud #Infrastructure as Code (IaC) #Deployment #TypeScript #Computer Science
Role description
Role: GCP AI Engineers w/ Terraform & AI Ops
Location: Cambridge, MA/ Remote
Contract: C2H
Position Summary:
Works with a collaborative team that develops and maintains systems and applications. Participates in all phases of the development life-cycle from initial requirements gathering and design to coding and testing of our suite of Software-as-a-Service (SaaS) based products.
Job Description:
Primary Responsibilities:
β’ Participates in all phases of the software development life-cycle from requirements gathering and design to coding and testing with cross-functional teams in a highly collaborative environment (Development Leads, Architects, Quality Engineers, DBAs, etc.)
β’ Develops the data layer using modern software languages in a cloud-native environment
β’ Utilizes AI accelerator tools (i.e. Github Copilot) in their day-to-day software development tasks
β’ Leverages Large Language Models (LLMs) of various types in the implementation of applications
β’ Demos newly developed capabilities to peers/leaders of the organization
β’ Mentors junior developers
β’ Develops basic but highly-functional user interfaces for internal use
β’ Follows industry best practices for software development
Qualifications:
β’ Bachelor's Degree in Computer Science/related field or equivalent
β’ 6+ years development experience in an enterprise development environment or the knowledge, skills, and abilities to succeed in the role
β’ Experience working with Typescript, node.js and Python
β’ Experience working with various data storage solution types (i.e. object storage, key-value, relational) and efficient write/access patterns for them
β’ Demonstrable understanding of modern AI foundational models, prompt engineering strategies and common patterns for utilizing LLMs in production applications (i.e. RAG)
β’ Familiarity with Infrastructure as Code (IAC) deployment patterns, particularly platform agnostic tools like Terraform
β’ Plus: Experience developing serverless applications in a cloud environment
β’ Plus: Experience working with event-driven orchestration patterns and technologies
β’ Plus: Experience working with healthcare data
β’ Plus: Experience working with Google Cloud Platform (GCP)
β’ Ability to work with the Agile software development methodology
β’ Fundamental knowledge of software development lifecycles and their utilization in software projects
β’ Solid communication and interpersonal skills with the ability to work constructively in a collaborative team environment
β’ Solid problem-solving, analytical, and design skills
Role: GCP AI Engineers w/ Terraform & AI Ops
Location: Cambridge, MA/ Remote
Contract: C2H
Position Summary:
Works with a collaborative team that develops and maintains systems and applications. Participates in all phases of the development life-cycle from initial requirements gathering and design to coding and testing of our suite of Software-as-a-Service (SaaS) based products.
Job Description:
Primary Responsibilities:
β’ Participates in all phases of the software development life-cycle from requirements gathering and design to coding and testing with cross-functional teams in a highly collaborative environment (Development Leads, Architects, Quality Engineers, DBAs, etc.)
β’ Develops the data layer using modern software languages in a cloud-native environment
β’ Utilizes AI accelerator tools (i.e. Github Copilot) in their day-to-day software development tasks
β’ Leverages Large Language Models (LLMs) of various types in the implementation of applications
β’ Demos newly developed capabilities to peers/leaders of the organization
β’ Mentors junior developers
β’ Develops basic but highly-functional user interfaces for internal use
β’ Follows industry best practices for software development
Qualifications:
β’ Bachelor's Degree in Computer Science/related field or equivalent
β’ 6+ years development experience in an enterprise development environment or the knowledge, skills, and abilities to succeed in the role
β’ Experience working with Typescript, node.js and Python
β’ Experience working with various data storage solution types (i.e. object storage, key-value, relational) and efficient write/access patterns for them
β’ Demonstrable understanding of modern AI foundational models, prompt engineering strategies and common patterns for utilizing LLMs in production applications (i.e. RAG)
β’ Familiarity with Infrastructure as Code (IAC) deployment patterns, particularly platform agnostic tools like Terraform
β’ Plus: Experience developing serverless applications in a cloud environment
β’ Plus: Experience working with event-driven orchestration patterns and technologies
β’ Plus: Experience working with healthcare data
β’ Plus: Experience working with Google Cloud Platform (GCP)
β’ Ability to work with the Agile software development methodology
β’ Fundamental knowledge of software development lifecycles and their utilization in software projects
β’ Solid communication and interpersonal skills with the ability to work constructively in a collaborative team environment
β’ Solid problem-solving, analytical, and design skills