Research discovery with artificial intelligence
Senior AI Engineer – RAG, AI Agents
Location
Norway
Posted
10 days ago
Salary
0
Seniority
Senior
Job Description
Senior AI Engineer – RAG, AI Agents
Iris.ai
• Own the full development lifecycle — from idea to architecture, implementation, testing, and delivery of real-world AI products • Design and build robust AI systems, including Iris.ai ’s proprietary Retrieval-Augmented Generation (RAG) pipelines and LLM Evaluation Frameworks used by leading R&D teams • Drive innovation by testing new approaches and bringing new AI research into production • Collaborate across teams — work closely with researchers, product managers, and fellow engineers to shape and ship powerful features • Build systems for performance and reliability, ensuring they are scalable, testable, and maintainable • Contribute to a global mission to transform how the world interacts with scientific knowledge and applied AI • Thrive in a remote-first, agile environment, contributing meaningfully within a distributed, deep-tech team • Keep learning, always — we’ll support you with space, mentorship, and resources to grow as an AI engineer
Job Requirements
- 5+ years in software development, including 3+ years with Python
- Solid experience in web backends (Django/Flask), REST APIs, databases, and cloud infrastructure
- Familiarity with ML systems or motivation to learn in depth
- Ability to work in a remote-first, collaborative environment
- Proficiency in English.
Benefits
- 30 days paid vacation
- 5 additional days paid vacation for Learning and Development
- Private health insurance (premium coverage) and bi-annual health checks
- Free MultiSport card or Fitness subscription coverage for your physical well-being
- Remote-first & flexible hours — work where you're at your best
- Personal annual learning budget for conferences, courses, or certifications
- Personal equipment budget to choose the gear that suits your style
- Charity and volunteer activities
- Seasonal working camps (summer & winter) and team retreats
- Ongoing growth through weekly tech deep dives, mentorship, pair coding, and knowledge-sharing
Related Guides
Related Job Pages
More AI Engineer Jobs
• Design and develop AI agents using frameworks such as LangGraph and MCP for Workday use cases • Build AI-driven experience layers using CopilotKit, Vercel AI SDK, or similar tools • Enable scalable AI deployments on AWS or Azure • Develop AI assets and integration frameworks supporting AI SDLC • Design and implement Workday integrations using Workday APIs and integration tools (Studio, EIB, REST/SOAP) • Work with Workday data structures (HCM, Finance) for context-aware AI solutions • Integrate AI agents with incident/ticketing systems (e.g., ServiceNow) • Collaborate with Workday functional and technical teams to deliver solutions • Support automation of service requests, diagnostics, and operational workflows
• Design and develop AI agents using frameworks such as LangGraph and Model Context Protocol (MCP) for Oracle use cases • Build AI agent experience layers using tools like CopilotKit, Vercel AI SDK, or similar • Enable AI workloads on AWS, Azure, or Oracle Cloud Infrastructure (OCI) • Develop AI coding assets and MCP-based integrations to support AI SDLC · Design and implement integrations with Oracle systems (Oracle Fusion, EBS, OCI services) using REST/SOAP APIs • Work with Oracle data models to enable context-aware AI workflows • Integrate AI solutions with incident and ticketing systems (e.g., ServiceNow) • Collaborate with Oracle functional, technical, and infrastructure teams for delivery • Support diagnostics, automation, and optimization of Oracle managed services operations
Principal AI Engineer
ExacteraEasy-to-use corporate tax compliance software for transfer pricing, tax provision and R&D tax credit
• As Principal AI Engineer, you will own the inference and intelligence layer of the Exactera platform. • Build the substrate that agentic workflows run on. • Set technical direction, make build-versus-buy decisions, and provide direction to other senior engineers. • Evaluate the stack against real workloads and propose changes when warranted. • Collaborate with cross-functional teams including product engineering, product management, and domain experts in tax advisory. • Design and operate the typed graph of tax-domain entities and relationships.
• Engage with clients to help bridge gaps in technology • Accelerate delivery and improve code quality • Enable scaling of platforms and products • Collaborate within a high-performing engineering environment
