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Generative AI Engineer - CYNET SYSTEMS
AI Engineer
Develop and deploy generative AI solutions, leveraging LLMs, NLP, and computer vision on AWS. Build modular, testable code using Python and modern front‑end frameworks while applying DevOps best practices for CI/CD.
About the role
Key Responsibilities
- Design, implement, and fine‑tune large language models and generative AI pipelines for diverse business use cases.
- Integrate AI components with front‑end applications built in React and Angular, ensuring seamless user experiences.
- Develop scalable, modular, and testable codebases in Python, adhering to software engineering best practices.
- Deploy and manage AI services on AWS, utilizing services such as SageMaker, Lambda, and ECS/EKS.
- Establish CI/CD pipelines and DevOps workflows to automate testing, integration, and production releases.
- Collaborate with cross‑functional teams to translate NLP and computer‑vision requirements into production‑ready solutions.
Requirements
- 1+ year of software engineering experience with a focus on AI/ML, including hands‑on work with generative AI frameworks and LLMs.
- Strong proficiency in Python and familiarity with front‑end technologies (React, Angular).
- Solid understanding of NLP, computer vision, and machine‑learning concepts.
- Experience with AWS cloud services and implementing CI/CD pipelines using DevOps tools.
- Ability to write clean, modular, and testable code and work effectively in an agile environment.
Skills
pythonawsmachine learninggenerative ainatural language processingcomputer vision