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Builds and maintains a full-stack web app and integrates enterprise AI solutions using LLMs, RAG, and agentic frameworks in AWS.
Build and lead a GenAI-powered search platform using LLMs, RAG, and vector databases while mentoring engineers and defining scalable, secure architectures.
Summary We are seeking a Software Engineer (Applied AI) who can help us build the next generation of AI-powered workflows at Avallone. This is a hands-on engineering role focused on turning recent advances in AI into…
Builds AI-powered features end-to-end: designs LLM agents, integrates models (OpenAI/Anthropic), and crafts responsive UIs with Vue 3/React and TypeScript.
Design and build an AI-first IP intelligence platform, converting complex patent workflows into modular, explainable enterprise systems using Azure, Databricks, and modern frontend stacks.
Build and deploy production-grade LLM and NLP systems that turn multilingual news, economic events and market narratives into real-time, explainable market intelligence for financial institutions.
Build and ship production-grade AI systems—LLM apps, RAG pipelines, and multi-agent workflows—into Nexthink’s cloud platform while defining evaluation, MLOps, and scalable cloud architectures.
Lead the design and implementation of production-grade agentic AI systems and AI-augmented software workflows using Python, LangGraph/LangChain, and tools like Claude Code.
Builds backend services and retrieval pipelines for CoLab’s AI-powered engineering knowledge platform, focusing on search, data architecture, and scalable systems to power intelligent design insights.
Lead a team to build and deploy large language model applications, fine-tune models, and design RAG systems for mission-critical government use cases.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global…
Build and ship AI agents end-to-end: design LLM-powered backends with RAG, vector search, and event streaming, then expose them via modern Vue/React frontends.
Design and deploy AI-powered cloud infrastructure using Terraform, Kubernetes, and RAG pipelines on Azure/AWS/GCP for a large-scale system serving ~300k users.
Build and deploy AI models and agents at scale using Python, GCP, and MLOps pipelines to improve JYSK’s operations and customer experiences.
ABOUT THE ROLE We are seeking a hands-on AI Applications Developer to design, build, integrate, and support enterprise AI-enabled applications, copilots, document intelligence solutions, knowledge search experiences,…
Build and deploy AI-powered healthcare solutions using LLMs, RAG, and Azure services to automate document processing and enhance clinical insights for payors and providers.
Build and maintain ETL/ELT pipelines, data warehouses, and AI-ready data flows for Mastercard’s payment and analytics platforms using Snowflake, SAP HANA, and cloud-native tools.
Build and lead Mercor’s code-search systems: hybrid retrieval (dense embeddings + BM25) that routes coding tasks to the right models and turns natural-language questions into precise code retrieval at scale.
Builds ML, graph, NLP, and GenAI models to detect threats, prioritize risks, and enrich cybersecurity operations using Python, SQL, PySpark, and Databricks.
Build secure, scalable AI-powered search systems using LLMs, RAG pipelines, and Elasticsearch for a government customer in a TS/SCI environment.
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