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Engenious

Tech Lead

Posted 2 months ago
5-10 years experience
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AI Summary

Lead a cross-functional engineering team to build a data processing platform featuring OCR and AI-based extraction. The role involves owning technical direction, managing the roadmap, and balancing hands-on architecture with stakeholder communication.

Role Overview

We're looking for a Tech Lead to drive a cross-functional engineering team (up to 6–7 people) building a data processing platform with OCR and AI-based extraction. You'll own technical direction, keep delivery on track, translate between stakeholders and engineers, and stay hands-on enough to dive into the architecture and unblock the team when it matters.

This is a leadership role with real technical depth; you track technical delivery, guard quality, and make sure the team is building the right thing in the right way.

What You'll Do

  • Drive the team's technical direction and keep day-to-day progress aligned with project goals.
  • Work directly with stakeholders to clarify requirements, set and defend priorities, and communicate trade-offs and status clearly.
  • Own the roadmap-to-execution translation: break down initiatives, sequence work, and keep the backlog focused.
  • Oversee team execution, review priorities, monitor progress, and course-correct early when things drift.
  • Deep-dive into technical processes when needed: code, architecture, pipeline behavior, and incident root cause.
  • Make and document architectural decisions across the platform and the data processing services.
  • Coach engineers, raise the technical bar, and ensure delivery quality without becoming a bottleneck.
  • Drive effective use of AI coding assistants (e.g. Claude Code) across the team to accelerate delivery without sacrificing quality.

Required Experience & Skills

  • 7+ years of software engineering experience, with proven time leading a team or owning technical delivery.
  • Strong architectural judgment,  able to design and reason about distributed systems and drive projects end to end.
  • Strong hands-on experience with Node.js (TypeScript) or Python.
  • Python experience.
  • Hands-on cloud experience: AWS ECS with Fargate, SQS, SNS, and Terraform (IaC).
  • Hands-on experience developing with AI coding assistants (e.g., Claude Code).
  • Clear, structured communication and the ability to keep both stakeholders and engineers aligned.
  • English: B2 / Advanced (confident written and spoken communication with stakeholders).

Nice to Have

  • Experience with document-processing or AI-extraction pipelines at scale.
  • Experience with Python microservices for data processing (OCR and AI/ML-based extraction).
  • Experience designing and operating event-driven / message-based pipelines.
  • Experience in the legal or finance domain.
  • Candidate based in Warsaw

What Success Looks Like

In the first months, you'll have a clear grip on the architecture, the team's priorities are visible and well-sequenced, stakeholders trust the status they're getting, and delivery is predictable, with you stepping into the technical detail whenever the team needs it.

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