
201 - 500 employees
Founded 2018
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
Parser is a technology solutions company that elevates organizations through innovative AI-driven strategies and expert engineering services. The company partners with technology leaders to achieve key business goals, focusing on adaptability, customization, and collaboration. With a commitment to fostering innovation and long-term partnerships, Parser delivers comprehensive solutions in software engineering, AI and data utilization, product design, and digital transformation consulting.
🔥 1 minute ago
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Posted on Parser's careers page, not through a job board
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201 - 500 employees
Founded 2018
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
Parser is a technology solutions company that elevates organizations through innovative AI-driven strategies and expert engineering services. The company partners with technology leaders to achieve key business goals, focusing on adaptability, customization, and collaboration. With a commitment to fostering innovation and long-term partnerships, Parser delivers comprehensive solutions in software engineering, AI and data utilization, product design, and digital transformation consulting.
• Build and evolve an AI-enabled investment platform supporting the investment lifecycle from origination and due diligence to portfolio monitoring and valuation • Design, build and deploy production-grade applications using Python, TypeScript/JavaScript, React/Next.js and FastAPI • Develop AI-powered features including LLM applications, RAG pipelines, vector search, AI agents and document intelligence • Build high-performance APIs, microservices, data integrations and frontend experiences • Deploy and operate containerised applications on Microsoft Azure and Azure Kubernetes Service using Infrastructure as Code and CI/CD • Prototype and validate AI features, then turn successful experiments into secure, scalable products • Apply best practices in system design, testing, security, AI guardrails and production observability • Collaborate with product, investment, data and technology teams to turn business needs into practical solutions • Take end-to-end ownership, troubleshoot production issues and maintain delivery momentum as priorities evolve
• 8+ years of professional software engineering experience delivering production-grade applications • Strong hands-on full-stack expertise, particularly advanced Python and TypeScript/JavaScript • Experience with React/Next.js and backend development using FastAPI • Practical experience building and deploying LLM-powered applications, RAG systems, vector search and AI agent workflows • Production experience with Microsoft Azure, Docker, Kubernetes, AKS and CI/CD • Advanced SQL, database design and API development skills • Experience working with structured and unstructured data • Familiarity with Snowflake, Oracle, Kafka, Event Hubs or large-scale data lakehouse architectures • Understanding of software architecture, scalability, security, testing and production observability • Proven end-to-end ownership and ability to solve complex problems with minimal supervision • Ability to perform effectively under pressure, manage shifting priorities and maintain delivery momentum • Strong communication, collaboration and problem-solving skills • Flexibility to accommodate UAE working hours and attend meetings as required • Experience in financial services, fintech, investment management, private equity or capital markets technology is desirable • Experience working in the UAE or wider GCC, with distributed international teams, or on enterprise AI platforms is desirable • Experience in high-growth startups, AI product companies or fast-paced engineering teams is desirable • Exposure to advanced agentic AI, LLM evaluation, performance optimisation and enterprise AI platforms is desirable
• A highly competitive compensation package • Medical insurance • Opportunity to join a fast-growing organisation • Opportunity to be part of a multicultural community of technology experts • Direct access to greenfield AI projects operating at institutional, global scale
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