Tech jobs
Job listings
AI Backend Software Engineer II - AI Application Platform
Build and scale the backend platform that powers AI-driven travel experiences, integrating LLMs, vector search, and agentic systems for millions of users.
Senior/Staff Software Engineer, Search & Retrieval Infrastructure
Build and optimize core search and retrieval infrastructure for Pinecone's vector database, enabling scalable, high-quality AI applications with semantic and hybrid search, indexing pipelines, and retrieval orchestration.
Senior Data Engineer
Design and build scalable data pipelines using Databricks, Snowflake, and Spark, leading architecture decisions and optimizing performance across AWS/GCP/Azure for client projects.
Agentic AI & ITSM/AIOps Solutions Architect (m/f/d)
Design enterprise AI solutions using generative agents, RAG, and ITSM/AIOps workflows to automate IT support, diagnostics, and operations with human-in-the-loop oversight.
AI Engineer
Build and deploy AI models using LLMs, prompt engineering, and RAG pipelines for a client project in Chicago.
Senior Data Engineer, AI & Data Platform (Remote)
Build and maintain AI-ready data pipelines and platforms for a global real-estate operator, integrating property, financial, and IoT data to power analytics and LLM tools across the business.
AI Engineer
Builds and optimizes multi-agent AI systems, RAG pipelines, and LLM integrations, focusing on production-grade prompt engineering, evaluation, and deployment.
Full-stack Developer
Build and maintain full-stack web apps in PHP (Laravel/Symfony), Python and TypeScript, integrating AI features (LLM APIs, vector DBs) and optimizing performance, security and scalability.
AI Engineer
Build and deploy generative AI solutions using RAG, prompt engineering, and frameworks like LangChain on Google Cloud or Azure.
Full-Stack разработчик / Специалист по применению ИИ
Builds AI-first full-stack apps using LLMs, Python/Node.js backends, React/Next.js frontends, and deploys on cloud platforms with CI/CD pipelines.
AI Engineer
Build, deploy, and scale AI applications using GenAI, LLMs, RAG, and classic ML on Google Cloud and Azure, while automating data pipelines and model monitoring for enterprise clients.
Applied Artificial Intelligence Solutions Architect
Design and deliver production-ready AI solutions for enterprises, including generative AI, RAG, and agentic workflows, while guiding clients from architecture to deployment.
Senior AI Engineer
Build and scale production LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-grade AI in Azure.
AI Engineer
Build and scale production-grade LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-ready AI in Azure.
AI Engineer
Build and deploy AI agents using LLMs, orchestration frameworks, and RAG pipelines to automate multi-step tasks for Morgan Stanley’s financial services platform.
AI Engineer
Design and deploy AI/ML models for compliance-focused digital platforms serving regulated sectors like education and healthcare, using Python and cloud infrastructure.
Senior Artificial Intelligence/Machine Learning Engineer
Build and deploy AI-agent systems for enterprise clients, owning the full lifecycle from discovery to production using Python, FastAPI, and agent frameworks like Strands.
Data Scientist
Build and deploy generative-AI solutions using LLMs, prompt engineering, fine-tuning, embeddings, and RAG pipelines for enterprise use cases like customer service and document automation.