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Senior AI Engineer (Banking Experience Required)

JS Talent Hub
Baladiyat ad Dawhah, QAT
Full-time
Mid-Senior
Onsite
Discovered 6 days ago
Agentic AIGenerative AILarge language modelsRetrieval-augmented generationPythonAPI development
Free

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Agentic AIGenerative AILarge language models
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About the Role

Join a market-leading banking and financial services organisation investing in advanced AI and digital transformation.

Lead the design, development and deployment of enterprise-grade Agentic AI and Generative AI solutions.

Combine hands-on engineering, cloud architecture and technical leadership within a highly regulated environment.

Key Responsibilities

  • Lead the design and development of Agentic AI, LLM and multi-agent solutions.
  • Architect AI platforms using RAG, vector databases, embeddings and knowledge retrieval.
  • Design scalable AI solutions across Azure and/or GCP, including Kubernetes and OpenShift.
  • Develop production-grade AI services using Python, APIs, microservices and Kafka.
  • Provide technical leadership, mentoring and guidance across AI engineering initiatives.

Technical Skills

  • Expert Python with strong software engineering and API development experience.
  • Strong knowledge of LLMs, Generative AI, RAG and AI orchestration frameworks.
  • Experience with LangChain, LlamaIndex, Semantic Kernel or similar frameworks.
  • Advanced knowledge of Azure or GCP, Docker, Kubernetes, OpenShift and MLOps.
  • Strong experience with Kafka, Spark, SQL, Git, CI/CD and model monitoring.

Experience and Qualifications

  • At least 7 years of software engineering experience, including at least 4 years in AI or machine learning.
  • Proven experience delivering AI solutions into production.
  • Strong experience in AI architecture, cloud engineering and enterprise integration.
  • Banking or financial services experience is mandatory.
  • Bachelor's or Master's degree in Computer Science, Data Science or a related field.

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