Senior Full Stack AI Engineer

Senior Full-Stack AI Engineer Build production-grade AI applications that support high-impact investment decisions. Who is Parser? Technology alone does not create impact the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement. We are a fast-growing team of 340+ engineers and consultants across Europe, the Americas and the Middle East. We combine global reach with agility, senior expertise and close collaboration. We work as an extension of our clients teams, helping them define the right problems, shape solutions and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI and data, product development, and customer experience. If you want to think beyond execution, take ownership of outcomes, influence decisions and keep learning alongside top-tier specialists in a global environment, we d love to meet you. How will you impact? You ll help build and evolve an AI-enabled investment platform for a sovereign investor managing high-value assets across more than 50 countries. The platform supports the investment lifecycle from origination and due diligence to portfolio monitoring and valuation. We value engineers who are resilient, adaptable, proactive, and comfortable operating in fast-paced, high-pressure environments, delivering high-quality software against demanding timelines and evolving priorities. Your

Key Responsibilities

• Design, build and deploy production-grade applications using Python, TypeScript/JavaScript, React/Next.js and FastAPI. Develop AI-powered features such as LLM applications, RAG pipelines, vector search, AI agents and document intelligence
• Build high-performance APIs, microservices, data integrations and intuitive frontend experiences
• Deploy and operate containerised applications on Microsoft Azure and Azure Kubernetes Service (AKS), using Infrastructure as Code and CI/CD. Prototype and validate AI features, then turn successful experiments into secure, scalable products
• Apply engineering best practices across 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 keep delivery moving as priorities evolve

Requirements

• 8+ years of professional software engineering experience delivering production-grade applications
• Strong hands-on Full Stack Expertise, particularly advanced Python and TypeScript/JavaScript, with experience in React/Next.js and backend development using FastAPI. Practical AI experience, building and deploying LLM-powered applications, RAG systems, vector search and AI agent workflows
• Production experience with Microsoft Azure, Docker, Kubernetes AKS required and CI/CD. Advanced SQL, database design and API development skills, including experience working with structured and unstructured data
• Familiarity with Snowflake, Oracle, Kafka, Event Hubs or large-scale data lakehouse architectures
• A sound understanding of software architecture, scalability, security, testing and production observability
• Proven end-to-end ownership and the ability to solve complex problems with minimal supervision
• Resilience and adaptability, ability to perform effectively under pressure, manage shifting priorities, and maintain delivery momentum in demanding environments
• Strong communication, collaboration, and problem-solving skills, with a pragmatic, results-oriented engineering mindset
• Desirable

Requirements

• Experience in financial services, fintech, investment management, private equity or capital markets technology
• Experience working in the UAE or wider GCC, with distributed international teams, or on enterprise AI platforms
• Experience in high-growth startups, AI product companies, or fast-paced engineering teams
• Exposure to advanced agentic AI, LLM evaluation, performance optimisation, and enterprise AI platforms