AI Engineer (FSI)
Neurons Lab
Date: 1 day ago
City: Remote
Contract type: Full time
Remote
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
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%
- 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
- 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
- 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
- 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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