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Build and scale the EffiGov AI platform for cities, shipping full-stack features in Python FastAPI and TypeScript Next.js while deploying LLMs to production.
Build and deploy scalable Python applications and AI/LLM solutions using LangChain and AWS, integrating enterprise systems and optimizing performance in a fast-paced environment.
Build and deploy LLM- and SLM-powered agentic systems for healthcare decisioning, including clinical reasoning, prior authorization, and claims integrity, using frameworks like LangGraph and LangChain.
Um unser Business weiter auszubauen, suchen wir engagierte Kolleg*innen – diesmal für eine Rolle, die es bei uns so noch nie gab. Rund um KI und Automatisierung haben wir schon einiges angestoßen – und suchen dich, um…
Build and deploy AI pipelines for India’s national health-insurance programme, including anonymisation, synthetic-data generation, and natural-language querying of aggregated public-health data.
Build and lead Python-based AI solutions, cloud deployments, and Agile delivery for enterprise clients, guiding cross-functional teams and translating business needs into scalable, secure ML systems.
Build and lead Python-based generative AI solutions using LLMs, cloud platforms, and ML pipelines while guiding cross-functional teams and translating business needs into scalable AI systems.
Lead the architecture and development of an AI-powered, secure CPQ platform, guiding cross-functional teams to integrate GenAI workflows while balancing security, scalability, and go-to-market timelines.
Designs and scales backend services for internationalization/localization, integrating AI/LLM capabilities and deploying on cloud platforms like Azure, AWS, or GCP.
Build and improve large-scale recommendation systems and apply LLMs to personalize content feeds for tens of millions of users, using Python, PyTorch, and distributed ML pipelines.
Build and maintain scalable data pipelines and AI-ready datasets for enterprise agentic AI systems, integrating structured and unstructured data in cloud environments like Azure.
Build and maintain scalable data pipelines and services to power AI agents and enterprise analytics, using Python, SQL, and cloud platforms like Azure.
Designs and implements enterprise GenAI search systems using Azure AI Search and Microsoft 365 Copilot, focusing on RAG, vector/semantic search, and secure retrieval across organizational data.
Build and test enterprise LLM applications, retrieval-augmented generation systems, and vector databases while supporting Azure deployments and prompt engineering.
Lead applied ML and LLM teams to build ranking, personalization, and curation systems that shape Gametime’s event-discovery experience.
Build production-grade AI agents in Python using LangGraph/LangChain, orchestrating multi-step reasoning, RAG, and tool use; deploy on cloud stacks with LLMOps and security guardrails.
Lead AI teams to design, build, and deploy production-grade RAG, agentic, and LLM-powered systems with robust evaluation, MLOps, and scalable infrastructure.
Owns the roadmap for enterprise data products like a Marketing Data Platform and Customer 360, turning raw data into AI-ready insights for commercial teams in cardiology.
Company Description Payarc is a technology-driven payments company built to empower people and improve their organizations, one payment at a time. What began as smart, simple payment-processing tools and products has…
Senior Machine Learning Engineer at Iterable to design and build AI-powered customer engagement systems, focusing on retrieval pipelines, RAG architectures, and evaluation frameworks using Python, TypeScript, and ML toolkits.
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