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Build and deploy AI/ML pipelines using Python, FastAPI, and cloud services like GCP to serve vector-based models and microservices.
Build and tune LLM-based AI agents and RAG systems for ERP automation and SaaS knowledge bases, using Python, PyTorch, LangChain, and cloud pipelines.
Build and deploy enterprise Generative AI apps using LLMs, RAG pipelines, and AI agents with Python, LangChain, and vector databases.
Build and scale internal AI-powered platforms and tools using JavaScript/TypeScript, cloud services, and GenAI features to empower decision-making across McKinsey.
Build and optimize GCP-based data pipelines and vector databases to power AI models like LLMs and RAG systems for Doctolib’s AI Medical Companion, supporting healthcare professionals across Europe.
Build and scale a next-gen generative-AI platform using Python, FastAPI, RAG, and LLM integrations (GPT, Mistral, Claude) with cloud-native tooling.
Build and scale Python backend services with FastAPI for a GenAI SaaS platform, integrating vector databases and collaborating with AI teams to deploy real-time inference workflows.
Build and scale cloud infrastructure and CI/CD pipelines for a psychological science startup integrating generative AI and ML, ensuring reliability, security, and rapid product delivery.
Build and scale cloud infrastructure and CI/CD pipelines for a behavioral-science AI platform, deploying ML models and ensuring reliability, security, and observability across AWS/GCP/Azure.
Senior AI Engineer builds and deploys scalable machine-learning and LLM-powered solutions to transform products and operations, focusing on generative AI, retrieval-augmented generation, and cloud platforms.
Lead the architecture and delivery of scalable flight-shopping platforms at Expedia, integrating AI/ML systems to improve search, pricing, and personalization for travelers.
Build and deploy LLM-powered applications for federal systems using RAG, vector databases, and AWS Bedrock/Python, focusing on scalable, secure GenAI solutions.
Build ML-driven data-mining tools to find the most valuable moments in petabytes of autonomous-driving data, turning them into searchable datasets for ML engineers.
Staff AI Engineer Location: Work At Home-Connecticut Remote Type: Remote Time Type: Full time Job Description We’re building a world of health around every individual — shaping a more connected, convenient and…
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.
Build and deploy generative AI applications using LLMs and multimodal models, integrating them into client systems via APIs and optimizing outputs with prompt engineering and RAG.
Build autonomous AI agents that plan, collaborate, and act using frameworks like LangChain and DSPy, integrating LLMs with tools and APIs for real-world execution.
Build and validate AI-driven features for a no-code data-integration SaaS, using LLMs, vector DBs, and agentic frameworks to prototype and ship new capabilities.
Наша команда занимается внедрением AI в процессы Банка в кооперации с коллегами из Казначейства. В процессе работы мы реализуем весь жизненный цикл агента - от сбора требований до внедрения решения в бизнес-процессы.…
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
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