Tech Lead – AI Software Engineering & Productivity
⚲ Warszawa
30 240 - 33 600 PLN netto (B2B)
Wymagania
- AI
- GenAI
- Python
- Cloud
- LLMs
- RAG
Opis stanowiska
Industry: debt collectionRemote work: 100%
Project language: English
FTE: full-time
Project length: 6 months + prolongations
Start: ASAP
Assignment type: B2B
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.
Project language: English
FTE: full-time
Project length: 6 months + prolongations
Start: ASAP
Assignment type: B2B
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.
🔍 Dekoder Ogłoszenia
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Project length: 6 months + prolongations
Projekt może trwać dłużej niż 6 miesięcy, ale nie ma gwarancji jego przedłużenia.
🔴
Define and execute the organization's strategy for AI-assisted software engineering.
Oczekuje się od Ciebie stworzenia strategii od zera, a nie tylko jej wdrażania.
🔴
Drive the adoption of generative AI across engineering teams.
Może oznaczać konieczność przekonywania sceptycznych zespołów do nowych technologii.
🔴
Measure and improve engineering productivity through data-driven initiatives.
Może wymagać stworzenia systemu pomiaru produktywności od podstaw i analizy danych.
🔴
Establish guardrails for secure AI usage and monitor AI solution performance.
Obejmuje odpowiedzialność za bezpieczeństwo i wydajność wdrożonych rozwiązań AI.