
AI Engineer
1 day ago
Overview
AI Engineer (BFSI) at Neurons Lab. We’re building AI solutions for major banks, insurance companies, and asset management firms. Our work includes customer-facing chatbots and voice agents for support calls, plus back-office automation for document processing and workflows. You’ll independently work with advanced LLMs, voice technology, and multimodal AI that integrates with existing banking systems. Each project is technically challenging and high-impact, directly improving how millions of customers interact with their financial institutions.
Objective + KPI: Deploy developed in-house AI solutions on 80% of 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
- 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 ML 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 ML 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 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
- Mid-Senior level
- Contract
- Engineering and Information Technology
- IT Services and IT Consulting
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