R0006626 Sr. AI Engineer

[Our Team]

We are a forward-thinking team focused on generative AI applications, hyperautomation, digital employee and customer experiences, and consumer support technology. Our mission is to leverage the power of AI and automation to transform digital interactions, optimize business processes, and enhance overall user satisfaction. By integrating innovative AI solutions with existing systems, we aim to drive business growth, empower employees, and deliver exceptional customer experiences. We are looking for passionate AI engineers to join us in creating intelligent, data-driven solutions that make a tangible impact.

[Key for Success]

• Understanding business objectives and utilizing AI models to make business decisions and develop strategies.
• Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction.
• Bring new ideas into the team.
• Propose and develop POCs based on your or the team's ideas.
• Stay current with AI trends and suggest improvements to existing systems and workflows

[Responsibilities]

• Build and maintain Generative AI applications and infrastructure.
• Manage the data flow and infrastructure for effective AI deployment.
• Collaborate across teams to align AI initiatives with organizational goals.
• Develop machine learning models and AI solutions.
• Test, deploy, and maintain AI systems.
• Collaborate with data scientists and other engineers to integrate AI into broader system architectures.

[Qualifications / Requirements]

Essential:

• Excellent team player with good verbal and written English
• You don't need micromanagement and can take on individual tasks
• Fast learner and self-starter
• Think outside the box and dare to fail
• Programming languages:
  • Strong proficiency in Python programming
  • Understanding of PHP, Javascript
  • Nice to have: Frameworks like VueJS, React, LiveWire, Laravel
• AI Tools:
  • Azure AI Studio (Azure OpenAI, Prompt Flow, Azure ML)
  • Advanced experience with LangChain
  • Nice to have: LangGraph, LangSmith, LangFuse
  • Agentic workflows
  • Good knowledge of most common language models, features, speed, capabilities, limits, cost
  • Vector DBs (Elastic, Solr, Chroma)
  • Graph databases with vector support
  • Building vector indexes from large amount of documents
    • Chunking strategies
    • Enhancing metadata and document perspectives
  • Prompt engineering, higher level LLM P.E.
• Design, maintain and secure development of APIs, authentication (f.e. FastApi)
• Versioning, output standardization
• Cloud services
  • Azure, AWS, GCP (Good working experience with at least one of them)
• Experience in securing and deploying GenAI Applications
• Ability to design and execute tests for generative AI applications
• Experience with docker and containerization of applications

Nice to have:

• Experience in Infrastructure as Code (Terraform, Ansible)
• Linux OS basic server troubleshooting
• SSH tunneling
• Good Networking foundational knowledge
• Experience in scaling and optimizing backend solutions for high performance