

Generative AI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer on a long-term remote contract, focusing on GenAI, NLP, and cloud integration. Key skills include expertise in Vertex AI, Gemini models, and GCP services. A degree in computer science or related field is preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 31, 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
#Cloud #Triggers #"ETL (Extract #Transform #Load)" #Scala #Compliance #GCP (Google Cloud Platform) #Data Science #ML (Machine Learning) #Computer Science #Storage #NLP (Natural Language Processing) #AI (Artificial Intelligence)
Role description
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Senior Developer (GenAI, NLP & Cloud Integration)
Long Term Contract β Remote (US based)
We are looking for a highly skilled Senior Developer with deep expertise in Generative AI, Prompt Engineering, Natural Language Processing (NLP), and Machine Learning (ML) to join our advanced AI engineering team.
This role will focus on building intelligent agents, integrating large language models, and developing scalable, serverless cloud-based applications.
Key Responsibilities:
Β· Design and develop intelligent agents using Agent Development Kits (ADK) including agent flows, inference engines, multi-agent coordination, and action triggers.
Β· Leverage Vertex AI Agent Builder and Gemini multimodal models to build powerful NLP and multimodal solutions.
Β· Utilize MCP (Model Context Protocol) to connect agents with external systems, APIs, and various data sources.
Β· Work with Google Cloud tools such as Cloud Functions, Cloud Run, Cloud Storage, and Big Query to deploy scalable, event-driven solutions.
Β· Implement Document AI and Text Embedding APIs to extract structured data from unstructured documents (e.g., chemical SDSs).
Β· Develop compliance-ready analytics and reporting pipelines.
Β· Integrate Dialog flow CX for voice-based user interactions and incident reporting (preferred).
Required Skills:
Β· Strong experience in GenAI, Prompt Engineering, NLP, and ML workflows.
Β· Hands-on experience with Vertex AI, Gemini models, and Agent Builder frameworks.
Β· Proficiency in working with GCP services: Cloud Functions, Cloud Run (preferred), Pub/Sub, Big Query, Cloud Storage.
Β· Exposure to Document AI, Text Embedding APIs, and MCP protocols.
Β· Experience in building and deploying scalable AI solutions in production.
Β· Bonus: Knowledge of voice interaction platforms such as Dialog flow CX.
Preferred Qualifications:
Β· Bachelorβs or masterβs degree in computer science, AI, Data Science, or related field.
Β· Google Cloud Certification (optional).