
Neurons Lab is a globally distributed AI R&D company that helps deep tech innovators to accelerate data-driven products development and launch. Our team has expertise in fundamental sciences, full-stack AI/ML engineering, and product design. Such a rare combination and access to scarce talent allows Neurons Lab to build disruptive solutions for clients in HealthTech and EnergyTech industries. Neurons Lab operates within a proprietary delivery framework that is tailored to the innovation environment: fierce competition, tight timelines, little-to-none datasets, and the necessity to generate novel solutions.
51 - 200 employees
đź’° Corporate Round on 2022-10
September 25

Neurons Lab is a globally distributed AI R&D company that helps deep tech innovators to accelerate data-driven products development and launch. Our team has expertise in fundamental sciences, full-stack AI/ML engineering, and product design. Such a rare combination and access to scarce talent allows Neurons Lab to build disruptive solutions for clients in HealthTech and EnergyTech industries. Neurons Lab operates within a proprietary delivery framework that is tailored to the innovation environment: fierce competition, tight timelines, little-to-none datasets, and the necessity to generate novel solutions.
51 - 200 employees
đź’° Corporate Round on 2022-10
• Build AI solutions for major banks, insurance companies, and asset management firms covering chatbots, voice agents, and back-office automation • Independently work with advanced LLMs, voice technology, and multimodal AI integrated with existing banking systems • Deploy proprietary AI solutions across projects and maintain high customer satisfaction • Create solutions that operate in high-stakes, compliance-heavy financial services environments • Ensure deployment of in-house AI on 80% of projects and maintain 100% customer satisfaction index (KPI) • Fully implement generative AI and LLM-based solutions end-to-end for financial services clients • Design and build AI agents for banking, insurance, and asset management customer support (text and voice) • Create intelligent call center solutions combining LLMs with voice technologies • Develop document processing workflows for financial documents using multimodal LLMs • Implement emotional intelligence capabilities in AI agents for improved customer interactions
• 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) • Experience with LLM frameworks (Anthropic Claude, LangChain, LlamaIndex) • Experience with voice and conversational AI solutions for financial services • Hands-on machine learning models debugging with AWS CloudWatch and SageMaker debugging tools • Experience with 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 • Expertise 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 (>4 years)
Apply NowJuly 21
2 - 10
Join a top-notch Data & AI team as an AI Engineer developing Python libraries for MLOps
Azure
Cloud
JMeter
Keras
PySpark
Python
Scikit-Learn
SQL
Tensorflow
Unity
March 29
2 - 10
Join WayOps as an AI Engineer, developing MLOps solutions with Python and Azure technologies.
🗣️🇪🇸 Spanish Required
Azure
Cloud
JMeter
Keras
PySpark
Python
Scikit-Learn
SQL
Tensorflow
Unity