About the Role
The developer will lead the design and deployment of generative AI applications, working closely with engineering and product teams to build intelligent systems using cutting-edge language and content models.
Responsibilities
- Design and develop generative AI applications using modern frameworks
- Integrate large language models into enterprise-grade software platforms
- Optimize model performance for speed, accuracy, and resource efficiency
- Collaborate with data scientists to fine-tune AI models
- Ensure AI systems comply with ethical and regulatory standards
- Write clean, maintainable, and well-documented code
- Troubleshoot and debug AI-driven features
- Work with cloud infrastructure for scalable deployments
- Implement prompt engineering strategies for improved outputs
- Support the creation of AI-powered user experiences
- Stay current with advancements in generative AI technologies
- Participate in code reviews and technical planning sessions
- Translate business requirements into technical solutions
- Monitor AI system performance post-deployment
- Contribute to architectural decisions for AI projects
- Assist in defining data pipelines for model training
- Evaluate third-party AI tools and APIs
- Ensure security and privacy in AI workflows
- Document technical designs and implementation details
- Mentor junior developers on AI best practices
- Work across agile development cycles
- Support proof-of-concept initiatives for new AI use cases
- Coordinate with UX teams for seamless feature integration
- Manage versioning of AI models and related components
- Conduct performance benchmarking for AI solutions
Nice to Have
- Master’s degree in a relevant technical discipline
- Experience with open-source AI frameworks like Hugging Face
- Contributions to AI research or publications
- Hands-on work with multimodal AI systems
- Prior work in regulated industries such as finance or healthcare
- Knowledge of responsible AI frameworks
- Experience mentoring development teams
- Familiarity with model evaluation metrics
- Background in full-stack development
- Exposure to low-code or no-code AI platforms
Compensation
Competitive salary based on experience and qualifications
Work Arrangement
Hybrid work model with flexibility for remote and in-office collaboration
Team
Collaborative environment within an innovation-focused technology team
Innovation Culture
- Work in an environment that encourages experimentation and forward-thinking solutions
- Engage in projects that push the boundaries of what AI can achieve
- Participate in knowledge-sharing forums and technical workshops
Professional Growth
- Access to training programs and certifications in AI and cloud technologies
- Opportunities to attend industry conferences and events
- Support for continuous learning and skill development
Available for qualified candidates requiring sponsorship
