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AI Engineering Team Lead

Leadtech Group🌍 Remote WorldwideEstimated: $80,000 - $120,000

✨ AI Insights & Summary

Revup Payments is seeking an AI Engineering Team Lead to spearhead the integration of AI agents and developer productivity tools within their payment orchestration platform. This pivotal role offers the chance to lead a team and be hands-on in architecting AI-driven solutions that enhance the software development lifecycle, boost developer productivity, and accelerate delivery speed. For experienced AI and backend engineers passionate about fintech and looking to make a significant impact on engineering practices through cutting-edge AI adoption, this is a compelling opportunity to shape innovation in a fast-paced, global environment.

About Revup Payments

Revup Payments is a leading fintech company in payment orchestration, providing seamless global payment solutions. With over four years of experience, we specialize in revenue optimization through card processing, alternative payment methods, smart routing, and fraud prevention, all accessible via a single API integration.

About the Role

We are looking for an experienced and highly skilled AI Engineering Team Lead (Agents & Developer Productivity) to join our technology team. You will lead a talented engineering team while remaining hands-on, driving the design, development, and adoption of AI-powered solutions, particularly AI agents, to enhance our software development lifecycle and internal engineering workflows.

Key Responsibilities

  • Lead and mentor a cross-functional engineering team, fostering a culture of collaboration, innovation, and continuous improvement, with a strong focus on AI adoption.
  • Drive the design, implementation, and evolution of AI-powered solutions, particularly AI agents, to enhance software development workflows, developer productivity, and operational efficiency.
  • Act as a hands-on technical leader, actively contributing to system design, code reviews, and the development of AI-driven capabilities integrated into the platform.
  • Identify and prioritize high-impact opportunities to leverage AI across the software development lifecycle, including code generation, testing, debugging, incident analysis, and documentation.
  • Architect and implement scalable and secure systems that combine traditional backend engineering with AI components (e.g., LLM integrations, RAG pipelines, agent-based workflows).
  • Collaborate with product, engineering, and business stakeholders to define AI use cases aligned with company goals and deliver measurable impact.
  • Establish best practices for building, evaluating, and maintaining AI systems in production, including observability, performance, cost control, and reliability.
  • Drive the adoption of AI tools and practices across engineering teams, acting as a mentor and enabler for developers to effectively leverage AI in their daily work.
  • Ensure that AI implementations comply with security and regulatory requirements (e.g., PCI DSS, GDPR, DORA), especially in the context of sensitive financial data.
  • Mitigate technical risks related to both traditional systems and AI components, ensuring platform stability, resilience, and trustworthiness.
  • Contribute directly to the development of high-quality, high-performance software solutions, maintaining a strong hands-on involvement.
  • Diagnose and resolve complex issues in production environments, including those involving AI systems and agent-based workflows.
  • Drive technical decision-making, balancing innovation in AI with long-term scalability, maintainability, and business impact.
  • Foster a culture of innovation, collaboration, and accountability across technical teams.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field (equivalent experience is valued).
  • Collaborative mindset with the ability to work cross-functionally with Product, DevOps, and Security teams.
  • Over 7 years of professional experience in software engineering, including:
  • 6+ years of experience with Java as the primary programming language.
  • 4+ years leading hybrid engineering teams (inhouse and outsource).
  • Proven experience in the payment industry, fintech, banking, or financial services, with a solid understanding of high-availability systems, regulatory constraints, and secure architectures.
  • Hands-on experience with AI-assisted development tools and coding agents (e.g., Cursor, kilo.ai, warp.dev, Claude Code, or similar), with the ability to integrate them effectively into real-world engineering workflows.
  • Strong ability to apply AI to real engineering problems, especially in:
  • Developer productivity (code generation, testing, documentation)
  • Automation of engineering workflows
  • Incident analysis and debugging support
  • Deep expertise in software architecture, microservices, and cloud-based solutions in AWS.
  • Using A.I Agents to build Test-Driven Development (TDD) and behavior-driven testing methodologies, ensuring robust, maintainable code.
  • Deep understanding and practical application of Object-Oriented Programming (OOP) principles, including SOLID design, Clean Architecture, and advanced software design patterns.
  • Advanced proficiency in Web/API environments, including:
  • HTTP protocols
  • Designing and consuming RESTful services
  • Creating efficient, secure, and high-performance APIs
  • Proficiency in database design and optimization (e.g., PostgreSQL, MySQL, or NoSQL databases).
  • Familiarity with DevOps practices, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes, Google Cloud Run, AWS Lambda).
  • Excellent problem-solving skills and the ability to make data-driven decisions in a fast-paced environment.
  • Excellent communication skills, with the ability to educate and mentor engineers in AI adoption.
  • High level of ownership and agency, with the ability to proactively identify opportunities and drive initiatives end-to-end.

Extra Bonus If:

  • Experience with NodeJs or Python is an advantage but not mandatory.
  • Relevant certifications in cloud platforms, such as AWS.
  • Experience with modern Java frameworks (e.g., Quarkus) and native compilation using GraalVM, with a focus on building high-performance, low-latency services.

Benefits

  • Competitive salary and comprehensive benefits package.
  • Opportunity to shape HR strategy for a global, innovative fintech company.
  • Professional development opportunities and resources.
  • A collaborative, inclusive, and dynamic work culture.
  • Full Remote Work.
  • Growth and career development: Flexible career path with personalized internal training and an annual budget for external learning opportunities.
  • Work-Life balance: Flexible schedule with flextime, option of full remote or Barcelona office. Free Friday afternoons with a 7-hour workday, plus a 35-hour workweek in July and August.
  • Comprehensive benefits: Competitive salary, full-time permanent contract, top-tier private health insurance (including dental and psychological services). 25 days of vacation plus your birthday off, with flexible vacation options.
  • Unique Perks: Office in Barcelona with free coffee, fresh fruit, snacks, game room, and rooftop terrace. Additional benefits include ticket restaurant and nursery vouchers.

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Job Overview

Posted6/9/2026
CategoryAI & Machine Learning
SourceJobsCollider

FAQ

Is this position remote?

The AI Engineering Team Lead role is a hybrid opportunity. The location specified is Remote Worldwide.

What is the salary?

The salary is not explicitly stated, but is competitive and based on experience.

How do I apply?

You can apply by clicking the "Apply for this role" button above to submit your application on the hiring website.

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