AI Engineer: Build Practical AI Solutions

Academyprometheus; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Academyprometheus seeks an AI Engineer to design, develop, and deploy practical AI solutions for business applications. You will build AI-powered systems, integrate LLMs, and work with structured and unstructured data to unlock business value.

You will collaborate with product teams, evaluate model performance, and implement RAG, embeddings, and vector databases. Strong Python, API, and cloud experience are required.

Qualifications

• 2+ years of AI/ML engineering or a related technical field.
• Strong Python skills.
• Experience with OpenAI, Anthropic, Gemini, or other LLM APIs.
• Understanding of LLM architecture and prompt engineering.
• Experience with APIs and backend development.
• Knowledge of RAG, embeddings, vector databases, and AI agents.
• Excellent analytical and problem-solving abilities.

Responsibilities

• Design and develop AI-powered systems and applications.
• Integrate LLMs and AI APIs into existing platforms.
• Build AI automation and intelligent workflows.
• Develop and maintain AI agents and AI assistants.
• Work with structured and unstructured data.
• Evaluate model performance and improve outputs.
• Implement RAG, embeddings, vector databases, and knowledge systems.
• Collaborate with developers and product teams to translate business needs into AI solutions.
• Research and evaluate emerging AI technologies.

Job description

Academyprometheus seeks an AI Engineer to design, develop, and deploy practical AI solutions for business applications. You will build AI-powered systems, integrate LLMs, and work with structured and unstructured data to unlock business value.

You will collaborate with product teams, evaluate model performance, and implement RAG, embeddings, and vector databases. Strong Python, API, and cloud experience are required.