Job Location: Poland

Team Leader (Hands-on)

Tech Stack: Python, React, AWS, Bedrock | Project: CyberproAi

The Mission

We are seeking a high-caliber Hands-on Team Leader to architect and scale our AI ecosystem. You will lead the development of an Agent Farm, designing sophisticated orchestration layers that power autonomous workflows. This role requires a rare blend of leadership, cloud expertise, and the ability to write production-ready code alongside your team.

Core Responsibilities

  • Architect & Build: Lead the design and implementation of Agent Orchestration frameworks and scalable “Agent Farms.”
  • Hands-on Execution: Maintain a 60% coding split, utilizing Python, TypeScript, and React to build end-to-end AI applications.
  • Cloud Leadership: Own the deployment and lifecycle of AI systems on AWS, ensuring performance, security, and cost-optimization at scale.
  • Model Integration: Leverage Amazon Bedrock to integrate and fine-tune Foundation Models for diverse business use cases.
  • Team Mentorship: Lead a cross-functional team through code reviews, technical roadmapping, and agile delivery.

Technical Requirements

  • AI/ LLM Mastery: Advanced experience with Amazon Bedrock, LangChain, and prompt engineering.
  • Backend & Orchestration: Expert proficiency in Python; proven experience building autonomous agentic workflows (e.g., CrewAI, AutoGen, or custom solutions).
  • Frontend Excellence: Strong command of React and TypeScript for building complex AI dashboards and interfaces.
  • AWS Infrastructure: Deep knowledge of AWS (Lambda, ECS, EKS, SageMaker) and Infrastructure as Code (CDK/Terraform).
  • Scalability: Demonstrated success in deploying and managing high-load cloud systems.

Must-Haves

  • Leadership Experience: 2+ years leading engineering teams  5+ years of total software development experience.
  • Proven AI Production Experience: A demonstrated track record of successfully deploying and scaling AI/LLM applications to production, with specific, hands-on experience using Amazon Bedrock.
  • Communication: Professional-level English (written and verbal) is mandatory. You must be able to articulate complex AI strategies to stakeholders.
  • Mindset: A “builder” who thrives in ambiguity and is passionate about staying current with the evolving AI landscape.

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    JD – QA Engineer

    This position requires excellent knowledge, ISP level, of networking and routing protocols design and configuration, and executing capabilities in a large environment.
    Key responsibilities are writing test plans and execution, analysing automation regression, and require close collaboration with SW and pre-sales engineers.

    Requirements:

    • At least 10 years in service provider IP/MPLS network or networking vendor that specialize in IP/MPLS and involvement with network design 
    • Thorough knowledge in routing protocols like: ISIS, OSPF, BGP, MPLS, L2/3VPN, TE, 1588 Protocol and L2 protocols (e.g. STP, IGMP snooping)
    • Experience with QA methodology.
    • Hands-on experience in leading testing of complex features and in mentoring junior QA engineers.
    • Excellent troubleshooting skills and ability to learn new technologies quickly. 
    • Excellent collaboration and communication skills (both written and verbal) 
    • Fluent English (both written and verbal)

    Preferred Qualifications:

    • BSc in Computer Science, SW Engineering, or equivalent 
    • Experience with TG like IXIA 
    • CCIE / CCNP 
    • Experience in running and analysing automation regressions.
    • Familiarity with scripting languages such as Python and Bash.
    Apply Now

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