Tech Lead – AI Software Engineering & Productivity

AI/ML

Tech Lead – AI Software Engineering & Productivity

AI/ML
Centrum, Warsaw

emagine Polska

Full-time
Any
Senior
Remote

Job description

Industry: debt collection

Remote work: 100%

Project language: English

FTE: full-time

Project length: 6 months + prolongations

Start: ASAP

Assignment type: B2B

Remuneration: up to 200 PLN/h

Summary: This role focuses on leading the integration of AI in software engineering to enhance developer productivity, software quality, and process efficiency across the organization.

Main Responsibilities:

  • 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.

Key Requirements:

  • 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.

Tech stack

    English

    B1

    Artificial Intelligence (AI)

    master

    Microsoft Azure

    advanced

    Machine Learning (ML)

    advanced

    Cloud

    advanced

    TypeScript

    advanced

    Java

    advanced

    Python

    advanced

    Generative AI (GANs)

    advanced

    Microsoft Platform

    advanced

    Go (Golang)

    advanced

Office location

Tech Lead – AI Software Engineering & Productivity

Summary of the offer

Tech Lead – AI Software Engineering & Productivity

Centrum, Warsaw
emagine Polska
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