A highly successful global hedge fund making a significant long-term investment in AI engineering is hiring a Senior Artificial Intelligence Engineer in Abu Dhabi to join a small, high-calibre team building a new agentic AI product from the ground up, focused on shipping and operating production-grade AI systems rather than research or consulting.
About the Opportunity – Agentic AI Product Engineering
Employer Type: Global hedge fund investing significantly in AI engineering capability
Team Size: Small, high-calibre engineering team building a new AI product from scratch
Role Nature: Highly technical engineering role – not research, consulting, or strategy
Technology Focus: Agent orchestration, RAG/GraphRAG, context and memory systems, evaluation and observability
Compensation: $200,000 – $400,000 total compensation, relocation and visa supported
Career Growth & Cutting-Edge AI Opportunity
Strategic Location: Abu Dhabi – a fast-growing global hub for AI investment and talent
Startup Pace, Institutional Scale: AI startup autonomy combined with the resources of a world-class investment firm
Technical Ownership: Genuine ownership of systems from architecture through deployment and operation
Career Growth: Work alongside senior AI leadership shaping how next-generation AI products are engineered
Position Overview
This is a highly technical engineering role focused on building, shipping, and operating production-grade agentic AI systems, with significant scope for experimentation and product development. You will work with modern LLM technologies to build agent orchestration, tool use, RAG/GraphRAG, context and memory systems, evaluation and observability, alongside the underlying APIs, services, and deployment infrastructure required to run them reliably in production, within an environment that combines AI-startup pace and autonomy with institutional-scale resources.
Why This Role Matters: As Artificial Intelligence Engineer on this team, you build a new AI product from the ground up rather than maintaining legacy systems, work hands-on with cutting-edge agent frameworks like LangGraph, LangChain, and CrewAI, take genuine technical ownership from architecture through production deployment, and earn a highly competitive $200,000-$400,000 total compensation package with relocation and visa support in Abu Dhabi.
Key Responsibilities
Agentic AI System Development
- Design, build, and ship production-grade AI applications and agentic systems
- Build agent orchestration incorporating planning, tool use, context, and memory
- Develop RAG and GraphRAG systems, semantic search, and knowledge retrieval capabilities
Production AI Infrastructure
- Build reliable LLM-powered workflows and AI products, from experimentation through to production
- Develop the underlying APIs, services, and infrastructure required to operate AI systems at scale
- Work with containers, cloud infrastructure, and deployment/control-plane technologies for reliable operation
Evaluation & Observability
- Build evaluation frameworks, observability, and monitoring to measure and improve agent performance
- Experiment rapidly with emerging models, frameworks, and architectures
- Turn successful experimental ideas into production capabilities
Technical Ownership
- Take genuine ownership of systems from architecture through implementation, deployment, and operation
- Work autonomously within a small, highly technical engineering team
- Contribute to product experimentation, moving ideas from prototype to something people actually use
Qualifications & Requirements
Experience Requirements
- 5+ years of Software/AI engineering experience, ideally including a Tech/AI start-up background
- Proven experience shipping and operating production AI/agentic systems
- Strong Python experience and a track record of building APIs, services, and production software
- Financial services experience is not required
Technical Skills
- Hands-on experience with agent orchestration, tool calling, RAG/GraphRAG, context, or memory management
- Experience building evaluation, observability, monitoring, or reliability systems for AI applications
- Experience with modern LLM/agent frameworks such as LangGraph, LangChain, OpenAI Agents SDK, Google ADK, Claude Agent SDK, or CrewAI
- Experience with cloud infrastructure and modern deployment practices, ideally including Docker or Kubernetes
Essential Attributes
- Strong software engineering fundamentals and significant hands-on coding experience
- A strong interest in AI product experimentation and taking ideas from prototype to production
- The ability to work autonomously in a small, highly technical engineering team
About This Opportunity
This role is with a highly successful global hedge fund making a significant long-term investment in AI engineering, offering the pace, autonomy, and experimentation culture of an AI startup combined with the resources and scale of a world-class investment firm, without the bureaucracy of a traditional enterprise environment. Candidates are evaluated on what they’ve personally built and shipped rather than company prestige, with financial services experience not required.
Career Excellence: Build a groundbreaking agentic AI product from the ground up with elite compensation and genuine technical ownership in Abu Dhabi.
Who Should Apply?
- AI-Native Tech Engineers: From AI-first technology companies with production shipping experience
- Early-Stage AI Startup Engineers: From high-growth AI startups building agentic products
- AI Platform Engineers: With infrastructure and deployment experience for LLM systems
- Software Engineers in LLM Roles: From strong engineering teams who’ve moved deeply into agent engineering
- Python-First AI Builders: Comfortable across the full stack from APIs to model orchestration
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