Hybrid Lead AI Engineer – hybrid

Posted 4 weeks ago

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About the role

  • Lead AI Engineer developing and integrating AI solutions into existing software systems. Collaborating with teams to enhance AI capabilities and ensure compliance with standards.

Responsibilities

  • Take on a central role in the development and integration of innovative AI solutions
  • Rapid prototyping and leveraging existing AI models
  • Collaborate with interdisciplinary teams
  • Support teams in adopting AI technologies
  • Build and nurture an internal AI community
  • Work closely with Enterprise Architecture Management and IT Security
  • Document and communicate the results of pilot projects

Requirements

  • At least 5 years of relevant professional experience in developing and integrating software solutions
  • At least 2 years of experience with modern AI systems (e.g., generative AI, LLMs, agentic AI)
  • Strong proficiency in Python for AI development
  • Experience with agentic frameworks and orchestration tools such as LangChain (LangGraph), Microsoft Semantic Kernel, or AutoGen
  • Proficiency with LLMs, both cloud-based and on-premises/local deployments
  • Hands-on experience with RAG architectures (Retrieval Augmented Generation) and vector databases

Benefits

  • Flexible working arrangements
  • Professional development

Job title

Lead AI Engineer – hybrid

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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