Artificial Intelligence (AI) Engineer I
Cynet Systems
Job Title
Job Overview
Requirement/Must Have:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- At least 1 year of experience in data science, analytics, automation, or AI-related work.
Responsibilities:
- Partner with product managers and developers to support AI solution delivery across the product lifecycle.
- Help define, document, and communicate clear business and technical requirements.
- Support the implementation of AI use cases using approved enterprise AI tools.
- Contribute to the coordinated execution of AI initiatives across engineering teams.
- Create, test, and refine prompts for generative AI applications.
- Participate in prompt tuning and experimentation to improve model outputs.
- Assist with integrating AI services and models into applications and workflows using APIs.
- Build small prototypes, scripts, or workflow automations using Python.
- Explain technical concepts in a clear, practical way for non-technical stakeholders.
- Support training, demos, and coaching to help teams adopt AI tools effectively.
- Identify opportunities where AI can streamline work, reduce effort, or improve outcomes.
Nice to Have:
- Basic understanding of AI/ML concepts, including large language models and prompt engineering.
- Foundational ability to read and write Python for prototypes, automation, or simple integrations.
- Understanding of APIs and how to connect scripts or tools to external services.
- Strong communication skills, especially when explaining technical topics to non-technical audiences.
- Exposure to workflow automation tools (Power Automate, Logic Apps, Zapier).
- Exposure to RAG concepts or vector databases.
- Awareness of Agile, Lean, or XP delivery methodologies.
- Ability to identify high-value AI use cases and support ideation and scoping.
- Coursework, internships, or hands-on experience in data science, analytics, automation, or AI.
Vacancy posted 4 days ago
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