Senior Full Stack Engineer
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Key skills for this role
About the Role
DeepLight AI seeks a Senior Full Stack AI Engineer to bridge data science and enterprise software architecture. The role involves designing AI systems, deploying models, and managing MLOps pipelines for clients in financial services.
Key Skills for This Role
Responsibilities
- Architect end to end, highly secure AI and Generative AI systems for on premise and cloud infrastructures
- Design, build, and optimize high throughput, secure APIs to serve complex AI models and agentic workflows
- Integrate proprietary cloud foundation models and fine tuned open source models into unified software ecosystems
- Leverage deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement deep learning models
- Design scalable knowledge retrieval frameworks using embedding models and enterprise grade Vector Databases
- Build and evaluate robust systematic prompting frameworks and compile models using ONNX for optimized inference
- Own containerization and scaling of AI services utilizing Docker and Kubernetes
- Build and automate robust MLOps CI/CD pipelines to track model lineage, versions, evaluations, and production drift
- Implement strict FinOps practices to track and optimize token usage, cloud compute consumption, and inferencing costs
- Architect and optimize large scale data processing systems using modern Big Data tools
Requirements
- Extensive experience designing, launching, and managing containerized AI/ML or data intensive applications in highly regulated enterprise environments
- Proven track record applying deep learning models across both NLP and Computer Vision fields
- Practical experience implementing production grade model monitoring frameworks and optimizing cloud/token expenditure
- Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications
- Expert level knowledge of Azure (or alternative major clouds) alongside strong architectural grasp of on premise deployment constraints
- Strong proficiency in Big Data toolsets and modern API gateway designs
- Rigorous foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow
- High proficiency across SQL, NoSQL, and Vector Database engines
- Perfect tier software engineering skills in Python and advanced data processing techniques
Full Job Posting
Company Overview
- DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high impact intelligent systems.
- Based in the UAE, we partner with organizations across diverse sectors—with deep rooted expertise in Financial Services and Banking.
Key Responsibilities
- Architect end to end, highly secure AI and Generative AI systems capable of running seamlessly across both secure on premise data centers and public cloud infrastructures (Azure/AWS).
- Design, build, and optimize high throughput, secure APIs to serve complex AI models and agentic workflows to consuming client applications.
- Seamlessly integrate proprietary cloud foundation models (GPT, Claude, Gemini) and fine tuned open source models into unified software ecosystems.
- Leverage a deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement, evaluate, and optimize deep learning models across NLP and Computer Vision domains.
- Design scalable knowledge retrieval frameworks using embedding models and enterprise grade Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss).
- Build and evaluate robust systematic prompting frameworks and compile complex models using ONNX for optimized, low latency production inference.
- Own the containerization and scaling of AI services utilizing Docker and Kubernetes clusters across development and production environments.
- Build and automate robust MLOps continuous integration and deployment pipelines to track model lineage, versions, evaluations, and production drift.
- Implement strict FinOps practices to track, monitor, and radically optimize token usage, cloud compute consumption, and inferencing costs.
- Architect and optimize large scale data processing systems using modern Big Data tools to feed raw information into AI training and embedding workflows.
Requirements
- Extensive experience designing, launching, and managing containerized AI/ML or data intensive applications in highly regulated enterprise environments.
- A proven track record applying deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) fields.
- Practical experience implementing production grade model monitoring frameworks and optimizing complex cloud/token expenditure.
- Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications.
- Expert level knowledge of Azure (or alternative major clouds) alongside a strong architectural grasp of on premise deployment constraints, data security, and network topologies.
- Strong proficiency in Big Data toolsets and modern API gateway designs.
- A rigorous, foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow.
- High proficiency across SQL, NoSQL, and Vector Database engines.
- Perfect tier software engineering skills in Python and advanced data processing techniques.
Preferred Qualifications
- An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a highly relevant quantitative discipline.
- Deep domain experience within banking, understanding strict data residency laws, financial compliance protocols, and legacy core banking interactions.
- Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern cloud MLOps suites (e.g., Azure AI Studio, Kubeflow).
Benefits
- Competitive salary
- Comprehensive personal health insurance
- Visa Sponsorship for the successful individual
- Professional development and certification support
- Subscription reimbursement relating to your role
- Opportunity to work on cutting edge AI projects
- Monthly Employee Incentive program
- Career advancement opportunities in a rapidly growing AI company
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