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PALO IT

AI-first consultancy accelerating digital product delivery

Forward Deployed Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • At least 10 years of hands-on software development experience, including recent client and team management experience.
  • Proven experience leading and mentoring engineering teams.
  • Deep expertise in full-stack development; preferred technologies include ReactJS for frontend development and NodeJS, Java, or Python for backend development.
  • Experience developing scalable, reliable, and secure applications.
  • Experience with solution architecture.
  • Strong understanding of common programming patterns and principles.
  • Demonstrated use of AI tools in day-to-day engineering work.
  • Hands-on, daily use of AI coding assistants such as GitHub Copilot, Cursor, or equivalent.
  • Strong grasp of prompt and context engineering for engineering workflows.
  • Proven experience defining and enforcing generative AI best practices across teams.
  • Ability to coach and mentor teams on effective and responsible AI tool usage.
  • Ability to critically validate and verify AI-generated code and solutions.

Responsibilities

  • Own the technical direction and roadmap for engineering projects.
  • Provide full-stack expertise to the engineering team and establish best practices for code quality and performance.
  • Shepherd technical decision-making and provide thought leadership.
  • Provide architecture-level and code-level feedback to the engineering team.
  • Build confidence in project delivery through automated testing, continuous integration, monitoring, and analytics.
  • Monitor project progress and delivery quality across teams.
  • Ensure timelines, outcomes, and engineering standards are met.
  • Champion AI-native ways of working across the team, including AI-assisted development, testing, and documentation.
  • Define and enforce prompt and context engineering standards, output validation, guardrails and fallback strategies, and code review standards for AI-generated code.
  • Stay current with emerging generative AI trends and tools and translate them into practical implementations.
  • Act as a technical authority and coach on Gen-E2 practices and responsible AI adoption.
  • Lead and mentor a team of engineers to deliver high-quality code and projects.
  • Provide technical guidance, coaching, and career development planning for team members.
  • Manage performance through goal setting, regular feedback and reviews, and identification of growth opportunities.
  • Foster a collaborative, innovative, and learning-driven culture.
  • Recruit and build high-performing engineering teams.
  • Collaborate with clients to understand business problems, design solutions, and lead implementation.
  • Partner with Sales and Presales teams to shape proposals and solution approaches, and contribute to technical responses and estimations.
  • Contribute to reusable assets, accelerators, and frameworks to scale delivery efficiency.
  • Support Palo IT thought leadership through research, experimentation, and publication.

Desired Qualifications

  • Experience with emerging technologies such as decentralized identity, real-time cross-border payment, quantum computing, or advanced smart contracts.
  • Experience with AI/ML services and frameworks.
  • Experience with cloud computing platforms such as Azure, AWS, or GCP.
  • Mobile development experience using Swift for iOS, Android, native, or hybrid approaches.
  • Certification in Claude AI by Anthropic.

About the Company

PALO IT

AI-first consultancy accelerating digital product delivery

Palo IT is a global AI-first technology consultancy that accelerates the delivery of digital products and modernizes platforms through a trademarked engineering approach. It combines AI-powered methods with proven engineering practices to help clients ship software faster and more reliably. Palo IT differentiates itself by its ethical focus and credibility, being a World Economic Forum New Champion and a B Corp-certified organization, which reflect its commitment to responsible business practices. The company aims to help organizations transform their technology stacks and digital products in a way that balances speed, quality, and sustainability.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Paris, France
Founded
2009

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