What are the responsibilities and job description for the Generative AI Engineer position at Optomi?
Generative AI Engineer
Optomi, in partnership with a leading energy company, is seeking a highly skilled and motivated GAI Expert/Software Engineer to join a dynamic team. As a GAI Expert/Software Engineer, you will be responsible for building an application that generates code, pipelines, and creates web applications automatically via prompts. This role requires a deep understanding of AI, machine learning, and software engineering principles, as well as a strong foundation in writing maintainable, testable, and modular code. If you are passionate about generative AI, large language models (LLMs), and the latest advancements in agentic technologies, we want to hear from you!
What the right candidate will enjoy!!!
- Working in a hybrid environment while building cutting-edge generative AI and agentic AI solutions that deliver real business impact.
- Experimenting with the latest LLMs, AWS Bedrock agents, and emerging AI technologies in a highly innovative, R&D-focused team.
- Solving complex engineering challenges and helping shape the future of AI adoption across the enterprise.
Experience of the right candidate:
- Bachelor’s degree in Computer Science, Information Systems, or related discipline; or 8 years of equivalent work experience in lieu of a degree.
- 3-5 years of hands-on experience with generative AI implementations.
- 6-8 years of experience in software engineering.
- Strong understanding of Python and ability to quickly learn new frameworks.
- Experience building agents in Bedrock.
Responsibilities of the right candidate:
- Design, develop, and maintain applications that generate code, pipelines, and web applications automatically via prompts using generative and agentic AI.
- Enhance PGO operations by integrating generative AI solutions that improve customer experience and operational efficiency.
- Apply software design principles and common patterns to write clean, maintainable, and scalable code.
- Leverage unit testing frameworks to ensure code quality and reliability.
- Experiment with and implement cutting-edge LLM agentic technologies to enhance application capabilities.
- Collaborate with cross-functional teams and business stakeholders to accelerate adoption of AI-powered tools.
- Implement GAI solutions in alignment with AI Policies.
- Conduct R&D to explore new AI techniques and future technologies such as blockchain and quantum computing.
- Optimize and fine-tune AI models for performance, scalability, and accuracy.
- Provide technical guidance and mentorship to junior team members.