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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.
Builds and deploys transformer-based generative AI and NLP systems using PyTorch, LangChain, and vector databases to extract insights from financial data for the PitchBook platform.
Builds and scales the backend infrastructure that powers Salesforce’s AI-native Agentforce platform, using Java/Python on cloud services to enable autonomous agents to reason, act, and deliver outcomes for enterprise customers.
Leads AI-powered search and discovery workflows for Grata’s private-market dealmaking platform, shaping semantic search, ranking, and LLM/RAG-based recommendations to help investors find and evaluate private companies.
Build AI-driven backend services and LLM integrations (RAG, vector embeddings) to power Omnissa’s globalization platform using Python, Node.js, and cloud tools.
Senior full-stack engineer building healthcare applications using React, Node.js, and cloud platforms like Azure/AWS, with occasional AI integrations and DevOps automation.
Build and deploy AI-powered applications using LLMs, RAG, and agent patterns in a hybrid Dublin team, turning innovative ideas into production solutions.
Designs and leads enterprise-grade Gen AI solutions for document processing in fintech, focusing on LLMs, RAG, and semantic search to automate document-centric workflows while ensuring scalability, security, and compliance in a regulated environment.
Ready to Join the Backstage Crew? At Bleckmann, we’ve been delivering on promises since 1862. As a market leader in supply chain management for fashion and lifestyle brands, we keep the show running behind the scenes —…
Build and ship AI-powered features for a SaaS product, integrating LLMs and retrieval systems into reliable backend workflows for a document-heavy, high-trust domain.
Lead the architecture and hands-on development of an AI-driven telehealth platform, integrating LLMs and distributed systems on GCP while guiding a small engineering team.
Build and evolve AI agents and RAG pipelines that integrate LLMs with corporate systems, optimize inference flows, and ensure scalable, secure production deployments.
The System Intelligence and Machine Learning (SIML) Content Understanding team is seeking a Senior Research Manager in Multimodal Reasoning. You will be working alonside teams that are in charge of operating system…
Product Manager, Retrieval-Augmented Generation and Embeddings _corporate_fare_ Google _place_ San José, CA, USA; San Francisco, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team…
Job Title: Generative AI / Agentic AI Engineer Job Description: Build LLM-powered workflows, RAG pipelines, and autonomous agent systems. You'll design prompt chains, tool-calling agents, and memory-augmented AI…
Position: Lead AI Engineer - Agentic AI & Enterprise Solutions Remote longterm contract Skills: Strong hands-on experience designing and implementing enterprise AI, GenAI, or machine-learning solutions. Advanced Python…
Designs and builds scalable data pipelines and AI-enabled platforms for equities trading, research, and sales using Azure and Databricks, while integrating LLM-based solutions in a regulated financial environment.
Designs and builds AI-driven data systems and agentic platforms, focusing on scalability, resilience, and applied machine learning with modern data stack tools.
Build and deploy large-scale search and question-answering systems using deep learning, LLMs, and retrieval/ranking models to power Apple products like Siri and Spotlight.
Senior AI/ML Data Engineer builds and maintains scalable data pipelines, ML platforms, and real-time AI systems using GCP tools like BigQuery, Vertex AI, and Pub/Sub to support analytics, recommendations, and automation.
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