Senior AI Engineer
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Key skills for this role
About the Role
DeepLight AI seeks a Senior AI Engineer to design, develop, and deploy production-grade AI and Generative AI solutions for clients in financial services. The role involves building agentic systems, RAG pipelines, and optimizing models.
Key Skills for This Role
Responsibilities
- Design, build, and optimize enterprise grade Generative AI applications and multi agent frameworks
- Architect and maintain scalable Retrieval Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies
- Develop and systematically evaluate advanced prompting techniques, guardrails, and context window management strategies
- Train, fine tune, and deploy deep learning models across both NLP and Computer Vision domains
- Evaluate and deploy both proprietary cloud models and open source foundation models, balancing performance, latency, and cost
- Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX
- Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data
- Design and optimize high throughput queries across relational SQL databases and specialized NoSQL/Vector data stores
- Establish robust, data driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production
Requirements
- Proven track record of designing, evaluating, and operating AI/ML models in high availability enterprise or production environments
- Demonstrated professional or research experience spanning both NLP and Computer Vision
- Hands on experience leveraging enterprise cloud AI infrastructures (Azure AI Studio or AWS Bedrock) to deploy foundation models
- Deep conceptual and practical understanding of LLMs, agentic workflows, function calling, and embedding models
- Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks
- Practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime
- High proficiency in configuring and querying Vector Databases alongside extensive knowledge of enterprise SQL and NoSQL architectures
- Perfect tier coding skills in Python, with command of asynchronous programming, design patterns, and clean modular code architecture
- Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.g., Pandas, NumPy, Polars, or PySpark)
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
- Cognitive Systems Architecture: Design, build, and optimize enterprise grade Generative AI applications and multi agent frameworks capable of complex reasoning and autonomous task execution.
- Knowledge Retrieval Systems: Architect and maintain scalable Retrieval Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.
- Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context window management strategies to ensure predictable, secure model behavior.
- Core Modeling & Execution: Train, fine tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.
- Open Source & Cloud Integration: Evaluate and deploy both proprietary cloud models (e.g., GPT, Claude) and open source foundation models, balancing performance, latency, and cost.
- Edge & Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.
- Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.
- Database Governance: Design and optimize high throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.
- Rigorous Evaluation: Establish robust, data driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.
Requirements
- A proven track record of designing, evaluating, and operating AI/ML models in high availability enterprise or production environments.
- Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).
- Hands on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.
- Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.
- Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.
- A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.
- High proficiency in configuring and querying Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.
- Perfect tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.
- Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.g., Pandas, NumPy, Polars, or PySpark).
Preferred Qualifications
- An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.
- Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments.
- Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.
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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