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Tech Lead – AI Software Engineering & Productivity

do 200 PLN/ godz.B2B
SeniorFull-time·B2B
#365237·Dodano dziś·0
Źródło: emagine
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Tech Stack / Keywords

AIGenerative AICloudSoftware DevelopmentPythonJavaC#TypeScript

Firma i stanowisko

The company operates in the debt collection industry and is seeking a senior technical leader for a full-time, remote B2B assignment focused on AI integration in software engineering.


Wymagania

  • Bachelor's or Master's degree in Computer Science or a related field.
  • 8+ years of software engineering experience.
  • 5+ years in a technical leadership role.
  • Strong experience with modern software engineering practices and cloud platforms.
  • Experience in AI/ML or Generative AI solutions.
  • Deep understanding of the software development lifecycle.
  • Programming skills in Python, Java, C#, TypeScript, or Go.
  • Experience with APIs, microservices, and platform engineering.

Nice to have:

  • Experience with Large Language Models and prompt engineering.
  • Familiarity with AI frameworks like LangChain and LlamaIndex.
  • Experience with GitHub Copilot and AI coding tools.
  • Knowledge of MLOps and AI governance practices.
  • Cloud or AI-related certifications.

Obowiązki

  • Define and execute the organization's strategy for AI-assisted software engineering.
  • Identify opportunities to leverage AI for improving developer productivity and software quality.
  • Lead the selection and implementation of AI engineering tools and platforms.
  • Drive the adoption of generative AI across engineering teams.
  • Provide technical leadership for AI-enabled development solutions.
  • Establish engineering standards and best practices for AI-assisted development.
  • Collaborate with teams to integrate AI into existing workflows.
  • Measure and improve engineering productivity through data-driven initiatives.
  • Develop internal AI-powered tools and enhance automation frameworks.
  • Partner with cross-functional teams for seamless AI adoption.
  • Establish guardrails for secure AI usage and monitor AI solution performance.
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