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Parser

Full Stack AI Engineer

Parser

. Design, build and deploy production-grade applications using Python, TypeScript/JavaScript, React/Next.js and FastAPI .

Posted 11/12/2026contractRemote • SerbiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying production-grade applications using Python, TypeScript, React, and FastAPI, with a strong focus on AI-powered features and high-performance APIs. Proven ability to manage complex projects, collaborate across teams, and maintain delivery momentum in dynamic environments.

Highest-signal resume keywords
Advanced PythonTypeScript/JavaScriptReact/Next.js DevelopmentMicrosoft AzureAI-Powered Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Production-Grade ApplicationsAPI DevelopmentDatabase DesignSQLAI Agent WorkflowsVector SearchRAG SystemsMicroservicesInfrastructure as CodeTesting and Security
Soft Skills
Strong CommunicationCollaborationProblem-SolvingAbility to Manage Shifting PrioritiesEnd-to-End Ownership
Tools & Technologies
DockerKubernetesAKSCI/CDSnowflakeOracleKafkaEvent HubsData Lakehouse ArchitecturesProduction Observability
Industry Keywords
Financial ServicesFintechInvestment ManagementPrivate EquityCapital Markets TechnologyUAEGCCHigh-Growth StartupsAI Product CompaniesEnterprise AI Platforms

Tech Stack

Tools & technologies
AzureDockerJavaScriptKafkaKubernetesMicroservicesNext.jsOraclePythonReactSnowflakeSQLTypeScript

About the role

Key responsibilities & impact
  • Design, build and deploy production-grade applications using Python, TypeScript/JavaScript, React/Next.js and FastAPI
  • Build and evolve an AI-enabled investment platform supporting the investment lifecycle from origination and due diligence to portfolio monitoring and valuation
  • 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 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 maintain delivery momentum as priorities evolve

Requirements

What you’ll need
  • 8+ years of professional software engineering experience delivering production-grade applications
  • Advanced Python and TypeScript/JavaScript
  • Experience with React/Next.js and FastAPI backend development
  • 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
  • Experience 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
  • Desirable: experience in financial services, fintech, investment management, private equity or capital markets technology
  • Desirable: experience working in the UAE or wider GCC, with distributed international teams or on enterprise AI platforms
  • Desirable: experience in high-growth startups, AI product companies or fast-paced engineering teams
  • Desirable: exposure to advanced agentic AI, LLM evaluation, performance optimisation and enterprise AI platforms
  • Flexibility to accommodate UAE working hours and attend meetings as required

Benefits

Comp & perks
  • Fully remote work model
  • 12-month B2B contract
  • Chance to join a fast-growing organisation changing how software products are built
  • Opportunity to be part of a multicultural community of technology experts
  • Direct access to greenfield AI projects operating at institutional, global scale
  • Inclusive workplace and equal employment opportunities
  • Reasonable accommodations during the recruitment process