AI Engineer

2 weeks ago

Romania Neurons Lab Full time €60,000 - €80,000 per year
About The Project

We have multiple projects in the FSI industry—banking, insurance, and asset management—with use cases related to front-office optimization, such as customer support and call centers using chatbots and voice solutions. We also handle back-office optimization, like document workflow and OCR-related automations.

Objective + KPI
  • Ensure deploying developed in-house AI and solutions on 80% of the projects
  • Maintain customer satisfaction index (CSI) at 100%

Areas of Responsibility
  • Fully independent implementation of generative AI and LLM-based solutions end-to-end for financial services clients
  • Designing and building AI agents for banking, insurance, and asset management customer support (text and voice)
  • Creating intelligent call center solutions that combine LLMs with voice technologies
  • Developing document processing workflows for financial documents using multimodal LLMs
  • Implementing emotional intelligence capabilities in AI agents for improved customer interactions

Skills
  • Hands-on machine learning and engineering with:
    • AWS AI/ML stack (Bedrock, SageMaker, Lambda, Comprehend, Connect)
    • LLM frameworks (Anthropic Claude, LangChain, LlamaIndex)
    • Voice and conversational AI solutions for financial services
  • Hands-on machine learning models debugging:
    • AWS CloudWatch and SageMaker debugging tools
    • Experimentation frameworks (SageMaker Experiments, W&B)
    • Call center AI agent optimization and evaluation
  • Advanced English (written and verbal)
  • Comprehensive documentation development

Knowledge
  • In-depth machine learning knowledge with specialization in conversational AI and document processing
  • In-depth knowledge of AWS AI/ML services and best practices for financial services
  • Expert in at least one specific GenAI technology:
    • Conversational AI agents for call centers
    • Emotional intelligence in AI systems
    • Document processing with multimodal LLMs
    • Voice synthesis and analysis
  • Domain expertise in financial services:
    • Call center and customer support operations in banking/insurance
    • Financial document workflows and processing requirements
    • Compliance requirements for customer interactions (GDPR, MiFID II, DPA)
    • Risk assessment and customer service protocols
Experience
  • 3+ years of professional experience in banks, insurance companies, asset management firms, or financial technology service providers
  • 2+ years of specific experience building GenAI solutions for financial services customer interactions
  • Demonstrated success implementing AWS AI/ML solutions in production environments
  • Experience with call center technologies and voice-based AI systems
  • Independent contractor experience (>2 projects >10k)
  • Bachelor's degree in Mathematics / Computer Science / Statistics or related fields (>4 years)

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