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Build and ship LLM-powered features for an aviation AI platform, including retrieval flows, tool-calling, evaluations, and production services using Python/TypeScript and frameworks like LangChain.
Build ML-driven data-mining tools to find and rank the most valuable autonomous-driving moments from petabytes of fleet data, using retrieval, ranking, and vector search at scale.
Python-разработчик поддерживает и доводит до продакшена AI-агентов для корпоративных депозитов, рефакторит код, пишет критически важные компоненты и внедряет надежные обвязки для LLM.
Senior AI Engineer builds and deploys multi-agent systems and RAG pipelines to automate complex enterprise workflows, integrating with platforms like SAP and Jira using Python, FastAPI, and AWS.
We Are Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis…
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Builds and maintains unstructured-data pipelines for a private investment group, capturing and processing emails, Slack, calls, and documents to create a secure, access-scoped context layer for AI retrieval.
Build and maintain AI-powered code analysis and remediation tools using Python, LLM agents, and RAG pipelines to automate technical debt reduction across a large engineering organization.
About BoWatt BoWatt is building agentic requirements and system engineering software for manufacturing . We believe AI will reach PhD-level engineering capability within the next 10 years . This will unlock massive…
Designs data schemas, ontologies, and lakehouse architectures to make AI-native drug discovery possible, transforming raw scientific data into FAIR-compliant, machine-actionable assets for both scientists and AI agents.
Lead a team of data scientists to build and deploy AI/ML models, including LLMs and generative AI, that turn large volumes of structured and unstructured data into actionable insights for enterprise clients.
Senior engineer building and operating production-grade generative AI systems (RAG, agents, copilots) for a large investment firm, integrating with enterprise data and MLOps tooling.
Lead a team building and deploying production-grade AI systems—like copilots and agentic workflows—while coding end-to-end solutions that integrate with enterprise data and meet regulatory requirements in a large financial firm.
Build and deploy production-grade Agentic AI systems using Google ADK, LangGraph, and MCP protocols, integrating RAG/GraphRAG with PostgreSQL/AlloyDB and GCP services.
Builds and maintains a cloud migration platform that integrates AI coding agents (e.g., Claude Code) with Azure, Terraform, and DevOps tooling to automate and validate cloud transformations.
Build and scale AI-powered financial research platform, processing SEC filings and financial data in real-time, designing data pipelines, and developing backend systems and APIs.
Senior Data Scientist builds and deploys ML models and pipelines to clean, classify, and deduplicate product catalogs and sales data for a global partnership marketing platform, using Python, SQL, and vector search tools.
Designs and deploys enterprise-scale AI/ML and Generative AI solutions using Snowflake Cortex and cloud platforms, guiding clients from discovery to production deployment.
Lead the design and delivery of generative AI systems, including document intelligence and RAG pipelines, using Python, LangChain, and Google Cloud tools.
Build and deploy AI features (LLMs, agents, RAG, ML) for an affiliate marketing platform in iGaming, turning prototypes into production-grade services.
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