AI Engineer (FSI)
NeuronsLabPosted 4/16/2025
AI Engineer (FSI)
NeuronsLab
Job Summary
We are seeking a skilled AI engineer to design and build generative AI and LLM-based solutions for financial services clients. The ideal candidate will have hands-on experience with AWS AI/ML stack, LLM frameworks, voice and conversational AI solutions, and document processing workflows. They should also possess in-depth knowledge of machine learning, conversational AI, and domain expertise in financial services. Our team values curiosity, ownership, and a drive to improve, and we offer flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. As part of our team, you will work with passionate colleagues to ship impactful features and contribute to groundbreaking projects.
Job Description
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)
