AI Engineer

Job Title : AI Engineer

Location : Remote (Portugal, Spain, Bulgaria, Romania)

Type : Full-time

About Us

Oraion is your single source of truth for enterprise data. Oraion uses agentic AI to turn structured and unstructured enterprise data into non-obvious insights, instantly.

Oraion helps you make faster, more informed decisions and even automate complex tasks, all through a self-serve, chat-based AI agent embedded in your existing workflow such as Slack, Teams or via our Enterprise Intelligence Platform.

We’re looking for an AI Engineer to help us push the boundaries of intelligent agents in real-world enterprise environments. You’ll build robust, production-grade agentic and machine learning systems that connect insights to action.

About the Role

As an AI Engineer at Oraion, you’ll work across the full lifecycle of AI systems : from fine-tuning open source models and prompt engineering to agent orchestration and performance monitoring. You’ll be instrumental in shaping how our agents interact with enterprise data, uncover insights, and automate analysis within a secure and scalable infrastructure.

This is a hands-on role with a strong engineering core. You’ll partner closely with data engineers, product managers, and UX designers to bring agent capabilities into our multi-tenant SaaS application, focusing on performance, reliability, and measurable value to the end user.

Responsibilities

• Design, build, and deploy production-grade agentic AI systems using frameworks like LangChain, LangGraph, and LangSmith
• Implement scalable Retrieval-Augmented Generation (RAG) pipelines, including embedding strategies, vector DB integration, and query optimisation
• Fine-tune and evaluate LLMs for enterprise-specific tasks including summarisation, classification, clustering, and conversational reasoning
• Develop and maintain ML pipelines for NLP tasks such as sentiment analysis, topic modeling, and document clustering
• Continuously monitor and evaluate agent behaviour in production, using agent evaluation frameworks and performance metrics
• Integrate agents with internal systems via Model Context Protocol (MCP) or similar communication standards
• Collaborate with backend and data engineering teams to ensure seamless integration of AI components into our data platform
• Optimise AI workflows for latency, accuracy, and cost in a multi-tenant, high-scale environment
• Participate in the research and adoption of emerging tools, models, and frameworks to maintain a cutting-edge stack

Requirements

Bonus Points

What We Offer