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Lead AI Engineer
Luxoft Ā· Abu Dhabi
LeadFull-timeOnsite
Project description The project focuses on developing and productionizing advanced Generative AI solutions for investment and financial-services use cases, with a strong emphasis on LLM fine-tuning, model adaptation, eva
Skills
ā¢ Minimum of 8 years' experience in enterprise-grade developer roles. ā¢ Minimum of 3 years' relevant experience in AI-specific applications in an enterprise context, including some experience guiding, reviewing or coordinating the work of other engineers. ā¢ Bachelor's or master's degree in computer science or related discipline, or equivalent combined education and experience. ā¢ Technical experience in financial domain AI: Track record in building and leading the delivery of generative AI applications for financial services (trading, compliance, customer support). Experience in fixed income ā bonds, FX, credit ā would be preferred. ā¢ AI and LLM Integration: Python expertise, leveraging large language models (GPT-4, Claude) within AI pipelines. Experience with LangChain and LangGraph for orchestrating generative workflows and agentic ā¢ Generative AI Pipelines: Ability to design and own multi-step, retrieval-augmented generation (RAG) pipelines using Azure Cognitive Search to integrate structured/unstructured company data effectively, and to set the patterns the wider team re-uses behaviours, and for guiding other engineers' use of these frameworks. ā¢ Agentic System Design: Experience developing autonomous AI agents that handle context-aware interactions, leveraging recent advancements from OpenAI's Agents SDK. ā¢ Fine-Tuning and Customization (Optional): Practical experience fine-tuning or adapting LLMs to specific business tasks using modern techniques (LoRA, PEFT). ā¢ DevOps and Deployment: Familiar with CI/CD practices, containerization (Docker), orchestration (Kubernetes), and observability tools for deployment in regulated environments. ā¢ Excellent interpersonal skills, including collaboration, facilitation, and negotiation. ā¢ Excellent planning and organizational skills, including the ability to plan and sequence a workstream's deliverables and coordinate the effort of other engineers contributing to it.
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