AI Engineering Lead for Scalable Solutions

3 days ago


Remote Kraków, Czech Republic Altimetrik Poland Full time

Altimetrik Poland is a digital enablement company that delivers bite-size outcomes to enterprises and startups from all industries in an agile way to help them scale and accelerate their businesses. Our innovation-first approach, strong focus on core development, and ability to attack challenging problems set us apart in Poland's IT market.

We are seeking a highly motivated and skilled GenAI Production Engineer to join our growing Data & AI team. In this role, you will lead the design and implementation of AI-driven solutions that drive innovation and operational efficiency. You will work closely with cross-functional teams to build, optimize, and maintain production-ready systems that deliver scalable, high-performance results for our clients.

Key Responsibilities:

  • Lead cross-disciplinary teams in the development and deployment of AI applications.
  • Develop and maintain production-level GenAI systems using cloud technologies such as ChatGPT, Flowise, Langchain, AWS, Azure, Snowflake, Databricks, and Salesforce.
  • Collaborate with clients, project managers, and engineering teams to drive the full lifecycle of feature and product development, from ideation to deployment.
  • Design, implement, and optimize serverless architectures for AI-powered solutions, ensuring reliability, scalability, and high performance.
  • Build and optimize retrieval-augmented generation (RAG) systems by designing metadata schemas and using vector embeddings to improve data retrieval accuracy and efficiency.

Requirements:

  • 7+ years of experience in software engineering with a focus on AI/ML projects.
  • Proficiency in Python, JavaScript, and TypeScript.
  • Proven ability to lead and manage projects with cross-functional teams.
  • Excellent communication skills to collaborate effectively with technical and non-technical stakeholders.
  • Experience with cloud technologies including ChatGPT API, AWS, Azure, Snowflake, and Salesforce.
  • Familiarity with infrastructure as code (e.g., Terraform) and containerization tools (Docker, Kubernetes).
  • Experience with agile development practices and DevOps, MLOps, and LLMOps tools and technologies.


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