Generative AI Engineer

About the role

A Generative AI Engineer designs, builds, and deploys AI-powered applications that use large language models (LLMs), multimodal models, and intelligent agents to automate tasks, generate content, analyze information, and improve business processes.

Responsibilities

• Design and develop AI-powered applications and services.
• Integrate large language models (LLMs) into web, mobile, and enterprise systems.
• Build AI agents capable of reasoning, planning, and executing tasks.
• Create RAG solutions that connect AI models to company knowledge bases and documents.
• Develop prompt engineering strategies and AI workflows.
• Optimize performance, reliability, security, and cost of AI systems.
• Collaborate with business stakeholders to identify opportunities for AI-driven automation and innovation.
• Monitor, evaluate, and continuously improve AI solutions in production.

Requirements

• Software development (Python, JavaScript/TypeScript, APIs, databases).
• Prompt engineering and LLM orchestration.
• AI agent frameworks and workflow automation.
• Retrieval-Augmented Generation (RAG).
• Cloud platforms and deployment practices.
• Data processing and system integration.
• Understanding of AI ethics, security, and governance.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
• At least 3 years of relevant work experience in AI development and deployment.
• Experience with large language models and AI frameworks like GPT, Claude, Gemini, and open-source models.
• Strong problem-solving skills and ability to work independently and collaboratively.
• Excellent communication and collaboration skills with business stakeholders.

Skills

• Software development (Python, JavaScript/TypeScript, APIs, databases).
• Prompt engineering and LLM orchestration.
• AI agent frameworks and workflow automation.
• Retrieval-Augmented Generation (RAG).
• Cloud platforms and deployment practices.
• Data processing and system integration.
• Understanding of AI ethics, security, and governance.

Benefits

• Competitive salary based on experience and qualifications.
• Flexible working hours and remote work options.
• Professional development opportunities and training programs.
• Health insurance and other benefits packages.

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time position with flexible working hours and remote work options available.