emagine Polska
4 months ago
Tech Lead – AI Software Engineering & Productivity
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Company information
- Company
- emagine Polska
- Location
- Polska, mazowieckie, Warszawa Poland
- Posted
- 4 months ago
Job description
Industry: debt collection Remote 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.
Required skills
- java
- generative ai
- typescript
- ai
- python
- prompt engineering
- software engineering
- apis
- go
- c#
- technical leadership
- best practices
- cloud certifications
- ai/ml
- large language models
- cloud platforms
- microservices
- cross-functional teams
- computer science
- software quality
- software development lifecycle
- productivity
- automation frameworks
- llamaindex
- mlops
- langchain
- ai governance
- ai-powered tools
- platform engineering
- ai platforms
- process efficiency
- github copilot
- engineering standards
- developer productivity
- workflow integration
- ai certifications
- ai-enabled development
- data-driven initiatives
- ai engineering tools
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