Assist research scientists with designing and implementing experiments, processing datasets, and developing new algorithms.

Develop and maintain backend services for image processing and AI features using Python.

Design and implement AI/ML features for a knowledge graph platform using NLP models and algorithms.

Design and implement AI-powered tools for finance teams to automate workflows and extract data from unstructured documents.

Builds and deploys multimodal AI systems for financial interactions at scale.

Develop AI algorithms, build evaluation pipelines, and optimize large language models.

Build AI-native applications and automate processes using LLMs, distributed systems, and APIs.

Design and build AI-native applications using LLMs and distributed systems for real-time data processing.

Design and architect voice systems for thousands of daily conversations

Design and develop AI/ML systems for predicting sales and detecting anomalies in retail data.

Own AI/ML lifecycle, fine-tune LLMs, and design prompt workflows for production deployment.

Lead frontend and backend development, implementing AI pipelines and iterating quickly.

Manages production workflows and processes for enterprise accounts.

Work with a group of talented, mission-driven colleagues to propose ideas and execute projects on Lilt’s core platform.

Define and implement technical roadmaps aligned with customer use cases.

Lead the pre-sales process for AI technology and multilingual content requirements.

Collaborate with engineering and infrastructure teams to design, build and improve our platform's backend systems.

Work with a group of talented, mission-driven colleagues to define, drive, and execute projects on Lilt’s Connect API and connectors platform–the front door to our machine translation services.

Enable customers to deliver multilingual journeys and provide truly localized experiences.

Designs and develops robust AI agents using Python to orchestrate data, workflows, and decisions across the firm.