NDA

AI Engineer

We are Headshot Recruitment Agency, and our client is an international AI-driven product company building an intelligent AI Agent platform. The team is focused on integrating state-of-the-art Generative AI, LLMs, and data pipelines to optimize internal workflows and deliver high-performance tools for enterprise and creative users. They are now hiring a proactive and technically strong AI Engineer to join their remote-first team.

We’re looking for a skilled AI Engineer with experience in Generative AI, prompt engineering, and RAG pipelines. This role requires hands-on development using Python, interaction with LLM providers (e.g., OpenAI, Anthropic, Amazon Bedrock), and a strong understanding of working with large datasets. You’ll work cross-functionally to scale intelligent AI-powered features across products and internal operations.

NDA
Remote
(Remote)
Full-time

Responsibilities:

• Design and implement LLM-powered pipelines using tools like OpenAI, Anthropic, or Amazon Bedrock
• Create, test, and optimize prompts for text generation, RAG, and fine-tuning use cases
• Build scalable services to integrate LLMs into production workflows and internal tools
• Work closely with cross-functional teams to identify business cases for AI automation
• Write clean, efficient Python code and interact with APIs, cloud environments, and AI platforms
• Handle data manipulation tasks using SQL, ensuring fast access to large datasets
• Contribute to knowledge sharing around best practices for integrating AI into company operations

Requirements:

• 2–4+ years of engineering experience, with a focus on Machine Learning / AI
• Solid hands-on experience with Generative AI, LLMs, and Prompt Engineering
• Knowledge of RAG (Retrieval-Augmented Generation) pipelines and fine-tuning models
• Practical experience using OpenAI, Anthropic, or Amazon Bedrock
• Excellent programming skills in Python with a focus on clean and maintainable code
• Experience writing complex SQL queries and working with large data pipelines
• Strong communication skills and ability to drive AI adoption across teams
• Proactive, self-organized, and comfortable working in remote environments


Nice to Have

• Familiarity with LangChain, Weaviate, Pinecone, or vector DBs
• Experience deploying AI models in cloud environments (AWS, GCP)
• Background in AI productization or enterprise automation

Sector
Employment
Full-time

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