About the Role
The position involves building and refining AI-driven workflows with an emphasis on prompt design and data pipeline development to support scalable generative AI applications.
Responsibilities
- Design and implement effective prompt structures for generative AI models
- Develop and optimize data processing pipelines for AI training and inference
- Collaborate with cross-functional teams to integrate AI components into workflows
- Evaluate model outputs and refine prompts for improved accuracy and relevance
- Troubleshoot issues in data flow and model response consistency
- Maintain documentation for prompt strategies and data transformations
- Adapt AI solutions to meet evolving project requirements
- Ensure data quality and integrity across processing stages
- Support testing and validation of AI-generated content
- Apply best practices in version control and code management
- Iterate on AI workflows based on feedback and performance metrics
- Work independently to deliver components on schedule
- Communicate technical findings to non-technical stakeholders
- Stay current with advancements in generative AI techniques
- Contribute to the design of reusable AI modules
- Optimize performance of AI systems under real-world constraints
- Identify opportunities to automate repetitive tasks using AI
- Ensure compliance with data privacy standards
- Integrate APIs and external tools into AI workflows
- Assist in scoping technical requirements for new initiatives
- Provide input on model selection and configuration
- Maintain consistency across multi-stage data transformations
- Support deployment of AI features in production environments
- Participate in code and design reviews
- Use structured feedback to improve system outputs
Nice to Have
- Experience with transformer-based models
- Background in data engineering or ETL development
- Familiarity with MLOps practices
- Knowledge of low-code or no-code AI platforms
- Experience in agile project environments
- Exposure to multimodal AI systems
- Contributions to open-source AI projects
Compensation
Hourly rate based on experience and project scope
Work Arrangement
Remote
Team
Collaborative, project-based team with flexible scheduling
Project Focus
Work will center on creating scalable prompt-driven systems and robust data workflows tailored to specific use cases in generative AI.
Work Style
Candidates must be self-motivated, capable of managing deadlines independently, and responsive to feedback in a fast-paced development cycle.
Technical Environment
Projects may involve Python, Jupyter notebooks, cloud-based AI services, Git for version control, and collaboration tools like Slack or Notion.
Not applicable
