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Build and lead the AI orchestration backend for CoCounsel Audit, turning frontier LLMs into reliable, production-grade workflows for accountants handling tax, audit, and advisory tasks at scale.
Build and lead enterprise-scale AI systems, including multi-agent and RAG solutions, while driving innovation and scaling prototypes into production for Thomson Reuters’ AI-first transformation.
Build and maintain petabyte-scale storage infrastructure for AI training workloads, optimizing data pipelines and distributed systems for performance.
Build and productionize LLM-powered AI agents and orchestration systems using NLP, retrieval-augmented generation, and agent workflows to enhance customer-experience analytics.
Build and deploy Generative AI systems for financial applications, including RAG pipelines, vector databases, and AI agents, using Python, AWS Bedrock, and LangGraph.
Lead a team building and scaling Fitch’s core data and ratings platform using Java, Python, AWS, and Kafka, while integrating AI/ML to enhance data solutions and developer productivity.
Build and deploy AI-powered audience analytics for a large-scale media intelligence platform, using Python, PySpark, Databricks, and modern ML/AI techniques.
Design and own the AI architecture for an agentic patent-intelligence assistant, ensuring scalable, secure LLM-based systems and retrieval workflows aligned with responsible-AI standards.
Build and deploy enterprise-grade GenAI applications using RAG pipelines, document parsing, vector databases, and LLM orchestration in Python.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
Build AI/ML models and graph analytics for telecom networks to enable autonomous operations, using Python, BigQuery, and KPI engineering.
Build and maintain Python-based AI applications, embed AI capabilities into systems, and deploy on AWS for clients.
Senior Data Engineer at Weekday AI to design, build, and maintain scalable data pipelines and infrastructure supporting AI-driven products.
Builds and deploys AI-powered backend services using LLMs, RAG, and vector search; writes Python microservices and data pipelines for production GenAI apps.
Build AI-powered retail automation in Clojure: outfit generators, vector search, and LLM workflows that serve 100M+ shoppers via APIs for fashion retailers.
Build and maintain Python-based AI applications, integrating modern AI capabilities into systems using AWS and AI-powered tools like Claude Code.
Lead AI Data Engineer builds and optimizes RAG pipelines, fine-tunes LLMs, and designs secure data ingestion systems for a proptech company serving insurance and banking clients.
The Role This is a software engineering role first and foremost. You'll build and ship product capabilities across our platform — and a meaningful part of your work will be AI-powered features, which is why…
Lead a team to build enterprise-scale generative AI and agentic systems using LLMs, RAG, and multimodal pipelines for Mastercard’s Business & Market Insights group.
Lead the design and scaling of AI-powered products and algorithms to enhance guest experiences and operational efficiency in hospitality using machine learning and generative AI.
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