About the Company
Iridium is a fast-growing management consulting firm advancing the science and practice of investor relations for listed companies. Founded in Dubai in 2015, we partner with senior executives to establish a strong global capital markets presence and unlock valuation potential. We operate at the most advanced level of the global investor relations industry, combining the expertise of seasoned IR, buy-side, and sell-side professionals with proprietary AI tools to drive innovation in our client advisory workflows and strengthen our leadership position.
About the Role
As a key member of our expanding AI team, you will work on building and maintaining the AI systems that power Iridium's agentic AI platform from automated research to data retrieval and evaluation. Responsibilities span designing multi agent workflows, integrating third party data sources and tools, and ensuring the reliability of production AI systems. The role also offers the opportunity to work closely with senior consultants & leadership to translate real client workflows into scalable automation.
Key Responsibilities
- Design, build, and deploy LLM powered agents and multi agent workflows using frameworks such as LangChain, LangGraph & Langflow moving from prototype to deterministic, production grade architectures.
- Build automated pipelines for research and content generation including evidence collection and structured evaluation that reduce manual effort for consultants and clients.
- Integrate third party data sources and APIs (financial data providers, MCP servers, internal tools) into agent workflows, handling authentication, rate limits, and session management.
- Build evaluation frameworks and gold set benchmarks to measure agent accuracy and drift, and debug non determinism and tool calling failures across LLM providers
- Build and maintain backend services (Python/FastAPI) supporting agent workflows, and work with containerized deployments (Docker/Kubernetes)
- Collaborate with senior consultants, designers, and client teams to translate research and requirements into reliable, scalable agentic systems
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field
- Relevant certifications or advanced coursework in AI/ML an advantage
- 2+ years of hands-on experience building LLM applications, agents, or automation pipelines
- Demonstrated professional and academic achievement
Experience & Skills
- Proficiency with LangChain, LangGraph (or comparable agent frameworks), Python, and REST API integration
- Strong understanding of Agents, prompt engineering, and LLM evaluation methodology
- Familiarity with FastAPI, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure)
- Working knowledge of MCP (Model Context Protocol) servers and tool calling architectures is an advantage
Ideally, you will also have
- Strong organizational skills, with the capability to manage multiple projects under tight deadlines
- Excellent communication skills, with a focus on collaboration and teamwork
- Proactive, detail oriented, with a strong work ethic and a team oriented mindset
