Senior AI Platform Lead — GenAI & Scalable Systems

Mars

Warszawa

On-site

PLN 320,000 - 550,000

Full time

23 hours ago
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Benefits offered by this job

Company bonus
Mars University learning

Job summary

Mars Segments and Functions seek an AI-native engineer to own the full stack—from APIs to intuitive UIs and scalable orchestration pipelines. You will diagnose root problems, design AI-powered workflows, and deliver solution-ready builds in agile sprints.

This role aims to codify patterns, internal tooling, and scalable GenAI implementations for enterprise value. As a systems-minded engineer, you will partner with business teams and stakeholders to shape product strategy, improve AI workflows,

Qualifications

  • 10+ years of software engineering experience.
  • 3+ years building systems in customer-facing or embedded roles.
  • Experience integrating AI into work processes and automating workflows.

Responsibilities

  • Build LLM-enabled applications spanning backend logic, data orchestration, and front-end UI.
  • Adopt responsible AI practices with RBAC and access controls.
  • Collaborate with stakeholders to deploy and iterate in live environments.
  • Codify reusable assets including libraries, prompts, and scaffolds.
  • Engineer APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components.
  • Integrate with legacy systems and scale deployments.
  • Contribute to platform roadmap and internal tooling.
  • Provide engineering leadership and align with PMs and business stakeholders.

Skills

AI integration
Software engineering
Backend: Python/Node/Java
Frontend: React/Angular
APIs: REST/GraphQL
LLM tooling
DevOps: Azure/GCP

Tools

Azure
GCP

Job description

Mars Segments and Functions seek an AI-native engineer to own the full stack—from APIs to intuitive UIs and scalable orchestration pipelines. You will diagnose root problems, design AI-powered workflows, and deliver solution-ready builds in agile sprints.

This role aims to codify patterns, internal tooling, and scalable GenAI implementations for enterprise value. As a systems-minded engineer, you will partner with business teams and stakeholders to shape product strategy, improve AI workflows,

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