Role Overview
We're seeking a Generative AI Engineer to join our team at 10Clouds. This role focuses on prompt engineering, AI tool optimization, and helping clients implement GenAI solutions and products.
Key Responsibilities:
Design and optimize prompts for various AI products and business applications
Develop, debug and monitor agentic AI solutions in Python
Execute expert-level prompt engineering across multiple LLM platforms (OpenAI, Claude, Google Gemini)
Apply advanced AI concepts including context engineering, context compression, and tool usage methodologies
Conduct client discovery sessions to understand AI implementation needs
Present AI strategies and recommendations to stakeholders
Stay current with AI tools, platforms, and industry trends
Work with agent frameworks and emerging protocols (MCP, agent protocols)
Perform AI model selection and evaluation for specific use cases and ROI assessment
Integrate AI systems with existing infrastructure through APIs and system integrations
Ensure AI solutions integrate effectively with existing development workflows
Monitor, log, and deploy AI systems in production environments
Required Qualifications:
Experience & Background
1+ years of professional experience in AI implementation, or related technical roles (focused on generative AI era)
1+ years of experience in Python or other backend focused programming language
Proven track record of successful AI agent development and deployment
Experience working directly with clients or business stakeholders
Portfolio of implemented AI projects ready to demonstrate during interview process
Core AI & Prompt Engineering Skills:
Expert-level prompt engineering across multiple LLM platforms (GPT, Claude, Gemini)
Deep understanding of modern AI capabilities and limitations across different use cases
Knowledge of advanced AI concepts: context engineering, context compression, tool usage methodologies
Experience with agent frameworks and emerging protocols (MCP, agent protocols)
Understanding of AI model selection for specific use cases
Ability to evaluate AI tool effectiveness and ROI
Technical Skills
Basic Python programming knowledge - ability to implement AI solutions and work with AI frameworks (willingness to expand technical skills is valued)
Familiarity with AI/ML frameworks or eagerness to learn
Basic understanding of APIs and system integrations
General software development concepts - version control, debugging, basic system architecture
Understanding of how AI integrates with existing development workflows
Willingness to learn production system practices (monitoring, logging, deployment)
Communication & Consulting Skills
Strong analytical and problem-solving capabilities
Excellent communication skills for translating AI concepts into business value
Experience with process mapping and business optimization
Project management skills and ability to handle multiple client engagements
Self-motivated with excellent organizational skills
Excellent written and verbal communication in English (C1/C2 level)
Demonstrated passion for AI with portfolio of practical implementations
Ability to learn new AI tools and platforms quickly
Client-focused mindset with consulting experience