HYBRID ROLES IN AUSTIN, TX
Have exp. in building a next-generation conversational agent designed to support HR functions with intelligent, action-oriented automation? AND have exp. in designing and building AI-driven applications at enterprise scale using Google Cloud Platform (GCP), foundational models, NLP, and machine learning? At which companies?
We are looking for you.
This role combines full-stack development, cloud infrastructure, and cutting-edge AI/ML integration—especially within the Google Cloud Platform (GCP) ecosystem.
Location: Austin Texas 73301
Hybrid Roles: 2days Onsite (Tuesday & Wednesday primarily) and 3 days Remote
Duration: 3+ months with possibility of longer term extensions
Pay rate: Open on W2
If interested, please email your resume to grace.johnson@motionrecruitment.com
No C2C or H1B or 1099 or TN Visa or F1 (CPT or OPT) at this time due to client requirements.
Responsibilities:
Design, develop, and maintain scalable full-stack applications using Python, Node.js, and JavaScript (React, Angular, or Vue.js).
Integrate and fine-tune AI/ML models, including Google Gemini and Vertex AI, within end-user applications.
Build secure, user-friendly interfaces and robust back-end services/APIs.
Develop data pipelines and implement secure authentication/authorization (OAuth 2.0).
Integrate with enterprise platforms such as Workday, Slack, Confluence, and Jira.
Work in Agile teams using G Suite tools and Visual Studio for coding and collaboration.
Address technical backlogs and actively support enterprise AI transformation goals.
Collaborate with cross-functional teams (AI/ML, Product, Design) to deliver intelligent technical solutions.
Stay current with advancements in AI, especially large language models (LLMs) and multimodal AI technologies.
Requirements:
Proven experience as a Full Stack Developer with strong skills in Python, Node.js, or Go, and modern JS frameworks (React, Angular, etc.).
Hands-on experience with GCP for scalable deployment.
Solid understanding of RESTful/GraphQL API design and database systems (SQL/NoSQL).
Familiarity with containerization and orchestration tools (Docker, Kubernetes).
Experience working with Conversational AI or chatbot frameworks is a plus.
Strong experience with systems integration, CI/CD pipelines, and agile software delivery.
Excellent communication, problem-solving, and teamwork skills.
Highly Desirable:
Experience with Gemini models, prompt engineering, LLM fine-tuning, or multimodal AI.
Experience with MLOps, test automation frameworks, and secure DevOps practices
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