Join to apply for the AI Engineer (BFSI) role at Neurons Lab
5 days ago Be among the first 25 applicants
We're building AI solutions for major banks, insurance companies, and asset management firms. Our work covers customer-facing chatbots and voice agents for support calls, plus back-office automation for document processing and workflows.
You will independently work with advanced LLMs, voice technology, and multimodal AI that integrates seamlessly with existing banking systems.
Each project is technically challenging and high-impact, directly improving how millions of customers interact with their financial institutions. We're deploying our proprietary AI solutions across 80% of projects while maintaining perfect customer satisfaction, building both client value and our own IP platform.
The work requires deep technical skills and financial services expertise—you'll be creating solutions that work flawlessly in high-stakes, compliance-heavy environments.
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)

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering and Information Technology

Referrals increase your chances of interviewing at Neurons Lab by 2x
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr