AI Engineer

🏢 pharos resource partners
📍 Abu Dhabi, United Arab EmiratesFull-timeRemote
📅 Posted: Today🔄 Updated: Today
CV%
✨ AI Summary
This AI Engineer position in Abu Dhabi focuses on developing applied AI tools for front-office investment teams, quants, and traders at a global investment firm. Key responsibilities include designing multi-agent systems, building RAG pipelines, enhancing core applications, and integrating cutting-edge LLM research. The ideal candidate will have a minimum of 5 years in enterprise development, with at least 2 years in applied AI/LLM projects. Strong Python skills, practical experience with LLMs (GPT-4, Claude) in production, and familiarity with generative AI frameworks like LangChain/LangGraph are essential. Experience with RAG pipelines, vector search, CI/CD, Docker, and Kubernetes in regulated environments is also required. A Bachelor's or Master's in Computer Science or a related field is necessary, with generative AI experience specific to financial services being a significant advantage.
Required Skills
Information Technology
LangChainLarge Language ModelsClaudeLangGraphRAG
Other
PEFTvector semantic searchLoRAGPT-4
🎁 Benefits & Perks
Full relocation packages are on offer to candidates outside of region.
Requirements
The role requires a minimum of 5 years in enterprise-grade development, with at least 2 years focused on applied AI/LLM projects. Essential skills include strong Python proficiency, hands-on experience with LLMs in production, and familiarity with frameworks like LangChain/LangGraph. Experience building RAG pipelines, working with vector search, and knowledge of CI/CD, Docker, and Kubernetes in regulated environments are also crucial.
Description
AI Engineer role - Abu DhabiWe are partnered with a global investment firm to hire an AI Engineer within their Development & Engineering team. This role sits at the heart of the organization's push into applied AI, building tools that directly support front-office investment teams, quants, and traders.Key Responsibilities: Designing and building collaborative, autonomous multi-agent systems (ideally using LangGraph) that coordinate complex investment workflows Developing multi-step, retrieval-augmented generation (RAG) pipelines that integrate structured and unstructured company data Building and enhancing modules within core applications used by front-office investment teams Partnering with quants and traders to support a quantitative trading and risk optimization platform Prototyping and integrating cutting-edge techniques from the latest LLM research (OpenAI, Microsoft, Anthropic) Designing conversational memory and long-term context solutions using semantic retrieval and extended-context models Owning deliverables end-to-end, from stakeholder requirements through to deployment in a regulated, enterprise environmentEssential experience: Minimum 5 years in enterprise-grade development roles, including 2+ years in applied AI/LLM projects Strong Python skills, with hands-on use of LLMs (GPT-4, Claude) in production pipelines Experience with LangChain/LangGraph or similar frameworks for orchestrating generative and agentic workflows Practical experience building RAG pipelines and working with vector/semantic search Familiarity with CI/CD, containerization (Docker), and orchestration (Kubernetes) in regulated environments Bachelor's or Master's in Computer Science or a related discipline (or equivalent experience) Generative AI experience specific to financial services — trading, compliance, or customer support (fixed income, FX, or credit exposure a plus) Fine-tuning/adapting LLMs using modern techniques (LoRA, PEFT) Experience with agent frameworks such as OpenAI's Agents SDKPlease note, this role is based full-time in Abu Dhabi and remote working is not an option. Full relocation packages are on offer to candidates outside of region.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00