

Generative AI Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Architect on a contract basis, offering a pay rate of "X" for "Y" months. Key skills include Python, TensorFlow, and full-stack development. Remote work is available, requiring a degree in Computer Science or Engineering.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
704
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ποΈ - Date discovered
June 10, 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
-
π - Location detailed
Remote
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π§ - Skills detailed
#AI (Artificial Intelligence) #Flask #SQL (Structured Query Language) #PyTorch #Documentation #React #Scala #AWS (Amazon Web Services) #Angular #Python #ML (Machine Learning) #Kubernetes #Databases #Cloud #Data Science #Django #Docker #Automation #DevOps #TensorFlow #Azure #NLP (Natural Language Processing) #"ETL (Extract #Transform #Load)" #NoSQL #Deployment #JavaScript #Computer Science #Programming
Role description
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This is a contract opportunity. You will be employed by Magnit to work on assignment with GuideWell.
We are at the forefront of innovation, leveraging cutting-edge technology to transform industries and deliver exceptional experiences. Our team is passionate about creating AI-driven solutions that solve real-world problems. We are looking for a talented Generative AI Developer with full-stack capabilities to join our dynamic team and help us push the boundaries of what's possible.
Job Description: As a Generative AI Architect, you will play a key role in designing, developing, and deploying AI-powered applications. You will work closely with cross-functional teams to build scalable, efficient, and innovative solutions that integrate seamlessly into our technology stack. Your expertise in model fine-tuning, retrieval-augmented generation (RAG) architecture, and multi-agent systems will be crucial to our AI initiatives.
Key Responsibilities:
Design, develop, and implement generative AI models and algorithms to solve complex problems
Fine-tune pre-trained models to enhance their performance and adapt them to specific tasks.
Develop and integrate Retrieval-Augmented Generation (RAG) architectures to improve model performance by leveraging external data sources.
Design and implement multi-agent systems to facilitate complex AI interactions and enhance automation capabilities.
Work collaboratively with data scientists, UX/UI designers, and product managers to create end-to-end AI-driven applications.
Develop and maintain robust, scalable, and efficient full-stack applications using modern technologies.
Integrate AI models into existing systems and ensure smooth deployment and operation.
Optimize AI models and full-stack applications for performance and scalability.
Stay up-to-date with the latest advancements in AI and full-stack development to continually enhance our technology stack.
Troubleshoot and resolve issues related to AI models and application performance.
Contribute to the creation and maintenance of documentation for AI models and applications.
Qualifications:
Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field.
Proven experience as a Generative AI Developer, with a strong portfolio of AI-driven projects.
Proficiency in programming languages such as Python, JavaScript, or similar.
Experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
Strong understanding of model fine-tuning and experience in adapting models for specific use cases.
Experience with full-stack development, including front-end (e.g., React, Angular, Vue.js) and back-end (e.g., Node.js, Django, Flask) technologies.
Familiarity with retrieval-augmented generation (RAG) techniques and integrating external knowledge sources.
Knowledge of multi-agent systems and their application in AI workflows.
Familiarity with cloud services (e.g., AWS, Azure, Google Cloud) and DevOps practices.
Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
REQUIRED EDUCATION:
Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field.
REQUIRED EXPERIENCE:
Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI.
Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes.
Experience with database technologies such as SQL and NoSQL databases.
Understanding of CI/CD pipelines and tools.
GuideWell and its family of companies has partnered with Magnit as its Managed Service Provider (MSP) and Employer of Record (EOR) since 2018. In May of 2025, GuideWell joined Magnit Direct Source to implement the GuideWell Contractor Cohort. This program is designed to create, manage and curate a contractor talent pool for temporary contract opportunities with GuideWell. As a contractor working on temporary assignment with GuideWell, you'll be employed by Magnit. You'll have the opportunity to work on temporary projects at GuideWell companies that make a real difference in people's lives while enjoying the benefits of being part of the Magnit team. QUALIFICATION/LICENSURE Work Authorization : Green Card, US Citizen Preferred years of experience : 0 years Travel required : No travel required Shift timings : 8 AM to 5 PM