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Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing distributed systems, agent protocols, LLM infrastructure, and cloud-native stacks to support secure, scalable agent workloads across the enterprise.
Build and maintain the ML platform that trains, deploys, and monitors AI/ML models across Wealthsimple’s products using Kubernetes, Ray, FastAPI, and MLflow.
Build AI-assisted workflows to automate software development lifecycle tasks like code analysis, dependency discovery, and documentation generation using Python, orchestration frameworks, and AI models.
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.
Build and deploy advanced search and recommendation models for a finance-focused GenAI platform, using NLP, embeddings, and vector databases to power financial professionals' decision-making.
Build and deploy AI-powered features like RAG systems and LLM integrations for revenue teams, focusing on production-ready AI applications and user experience.
Build and deploy ML systems for enterprise search, recommendations, and AI agents using LLMs, embeddings, and RAG; design evaluation frameworks and analyze AI interaction data.
Build AI assistants that help users create and interact with 3D content using NLP, LLMs, and knowledge graphs.
Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high…
Build and test enterprise LLM applications, retrieval-augmented generation systems, and vector databases while supporting Azure deployments and prompt engineering.
Design and advise on large-scale generative AI and agentic architectures for AWS customers, leveraging LLMs, RAG, and agent frameworks while producing technical content to drive adoption.
Designs AI-enabled architectures for mobility and logistics systems, leveraging generative AI, LLMs, and analytics to build scalable, secure solutions and implementation roadmaps.
Lead a team building full-stack AI-powered features using React, TypeScript, Python, and MCP/A2A integrations while setting technical standards and mentoring engineers.
Senior backend engineer building scalable data-processing services in Python/Java, REST APIs, Kafka, and AWS for Meltwater’s media-intelligence platform.
Build and maintain a full-stack AI platform using Python, React, and modern AI tools like LLMs, vector search, and RAG pipelines.
Build and run Luminor’s AWS-based AI platform (Bedrock, agents, knowledge bases) using DevOps practices, Kubernetes, and Terraform to power generative-AI solutions across the bank.
Build agentic AI systems and automation tools for a trucking logistics platform, integrating LLMs and workflows with a live TMS and RPA stack to handle real-world shipping exceptions.
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.
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