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Deeplight

Coherent, compact lasers for space LiDAR

AI Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeAbu Dhabi - United Arab EmiratesNo salary listedHybrid

About the Job

Requirements

  • A bachelor's degree in a quantitative field such as Computer Science, AI, Software Engineering, or Mathematics is required.
  • At least 5 years of experience in AI/ML engineering or large-scale digital product engineering is required, ideally on a major digital transformation or digital-only bank project.
  • Proven experience deploying large-scale AI/ML solutions in a regulated environment is required; banking or financial services experience is preferred.
  • Hands-on experience with MLOps tools, including MLflow and CI/CD, and data visualization platforms such as Tableau and Power BI is required.
  • Expert-level Python programming for ML/AI engineering and Generative AI applications is required.
  • Deep knowledge of transformer models, multimodal architectures, and agentic AI systems, including multi-agent frameworks and human-in-the-loop approaches, is required.
  • Expertise in vector databases such as Pinecone, Weaviate, and Milvus; knowledge graphs; and SQL/NoSQL systems such as Postgres and MongoDB is required.
  • Proficiency in Azure AI Foundry or AWS SageMaker, serverless deployments such as Lambda or Azure Functions, and containerization with Docker and Kubernetes is required.
  • A deep understanding of LLM evaluation metrics and observability frameworks for monitoring agentic workflows is required.

Responsibilities

  • Build and scale conversational AI platforms for voice and chat using LLM-based agents and multi-agent orchestration frameworks.
  • Develop automation agents for banking functions including KYC, compliance, risk monitoring, and customer service.
  • Implement Retrieval-Augmented Generation pipelines using vector databases and knowledge graphs to support enterprise search.
  • Design and refine prompts to optimize LLM performance and apply parameter-efficient fine-tuning techniques.
  • Operationalize embedding models and custom machine-learning solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift management.
  • Establish engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilience.
  • Identify opportunities to use data to solve complex business problems across functional teams and translate analytics into business value.
  • Present technical decisions and solutions to stakeholders and advocate for proposed technical approaches.

Desired Qualifications

  • A master's degree in AI/ML is highly preferred.
  • Experience quickly building and testing AI prototypes while maintaining enterprise-grade security and compliance.
  • Active engagement in the AI community and a track record of evaluating emerging tools such as LangChain, CrewAI, and Bedrock.
  • Strong communication skills to bridge technical requirements and business objectives for non-technical stakeholders.
  • Understanding of emerging trends such as Reinforcement Learning from Human Feedback and multimodal AI.

About the Company

Deeplight

Coherent, compact lasers for space LiDAR

DeepLight develops highly coherent, compact lasers tailored for space research and laser technology applications. Its lasers span the visible and near-infrared spectrum and feature exceptional frequency agility to support advanced applications, including long-range coherent LiDAR. The products rely on a combination of compact light sources and integrated photonics, including MEMS-based ultrafast acousto-optic modulation, enabling fast, precise control of laser light. Unlike many competitors, DeepLight emphasizes tight coherence, high linearity, and integration with MEMS for rapid modulation, supported by collaborations with major space agencies like the European Space Agency and revenue streams from technology sales and tech-transfer funding. The company's goal is to commercialize its laser technology for space research, communication protocols, and fibre sensing, accelerating the deployment of next-generation laser sources in science and industry.

Company size
11-50
Company stage
Debt Financing
Total funding
$90K
Headquarters
Saint-Sulpice, Switzerland
Founded
2021

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