AI Engineer (FSI)

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)