AI Engineer for LLM, RAG, and Prompt Engineering

We are a growing web app development agency specializing in practical applications of AI for integrations/automations, startup MVPs, and custom business solutions.

We are seeking a highly skilled AI Engineer specializing in Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG) to join our team. You will be an integral part of our team, helping us from the initial stages of project discovery to the launching and maintaining of a client’s AI product or solution.

The ideal candidate must have excellent communication skills and be able to effectively interpret clients' needs, transforming vague project requirements into well-defined prompts and scalable, efficient, and adaptable AI systems. A proactive approach to overcoming obstacles and an emphasis on providing regular status updates are crucial requirements for this role.

This will be a long-term contract engagement, and you need to have a minimum of 15 hours of availability per week. After vetting your skills, we can offer you increased hours and opportunities to work on larger, long-term projects.

⛔ Freelance contractors only. Agencies and agency associates will be reported as Spam applications.

Key Responsibilities

• Collaborate with clients and teammates to define project requirements and deliverables.

• Provide frequent communication, including regular status and timeline updates.

• Prompt Engineering: Develop, test, and optimize prompts for various tasks and specific Anthropic/OpenAI/Gemini models.

• Agent Design: Develop multi-modal AI systems with multiple “agents” performing various sub-tasks (planning, function calling, retrieval, web search, etc.).

• RAG Pipelines: Perform data extraction (web, PDFs, images), select optimal chunking strategies, generate and store embeddings, implement retrieval and ranking, etc.

• Evals & Benchmarking: Evaluate and improve AI-generated responses and RAG systems to align with project goals and guidelines.

Skills & Qualifications

• Proficiency in Python; JavaScript experience is a plus.

• Familiarity with Streamlit, Gradio, Google Colab Notebooks, or similar tools for sharing prototype AI apps/chatbots.

• Passion for generative AI, prompt engineering, and staying up-to-date with the latest advancements in LLMs. If you aren’t constantly testing new models and you don’t have a personal prompt library, you are probably not a good fit for this job.

tags: prompt design, ai agent development, llm prompt engineering, ai chatbot development, vector database, generative AI specialist, conversational AI, AI application development