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Build and maintain ML pipelines in Vertex AI and pioneer GenAI features like RAG and embeddings to power analytics and AI apps across the company.
Build and deploy production-grade generative AI systems using Python, LLMs, RAG pipelines, and AWS services like SageMaker and Bedrock.
Build and maintain unstructured-data pipelines for a private investment group: capture emails, Slack, calls, and documents; resolve identities; embed and load into vector/graph stores; and enforce PII handling and access controls.
Build predictive models and ML solutions for finance, insurance, and operations using Python, SQL, and cloud-native tools to drive data-driven decisions and business growth.
Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
Build AI-powered digital avatars that sync lip movements, micro-expressions, and head poses with audio using multimodal models (ViT/VLM) and RAG agents.
Build and scale AI-driven automation and observability platforms for Visa’s global payment systems using Python, FastAPI, React, Kafka, and AWS services like Bedrock and SageMaker.
Build and deploy cloud-native AI data pipelines, vector databases, and LLM-powered systems to support federal missions like defense and healthcare.
Build and lead an enterprise-scale AI platform that powers compliant, on-brand marketing content generation using RAG, vector search, and prompt MLOps for Capital One’s marketing systems.
Lead the design and deployment of AI-powered search and document processing systems using Azure AI Search, RAG, and Kubernetes, optimizing retrieval and relevance for EPRI’s technical content.
Designs scalable, multi-modal healthcare data architectures to integrate EHR, genomics, and imaging data for AI-driven clinical insights, ensuring real-time accessibility and agent-ready workflows.
A Senior DevOps Engineer designs, maintains, and optimizes cloud infrastructure (AWS/GCP) for a B2B tech review platform, automates CI/CD pipelines, and collaborates with a small R&D team to improve system reliability and scale AI/ML workloads using Kubernetes, Terraform, and Ruby on Rails.
Staff Software Engineer Location: Chicago, IL, San Francisco, CA, Boston, MA Remote Type: Remote Time Type: Full time Job Description JLL empowers you to shape a brighter way . Our people at JLL are shaping the future…
Senior Applied AI Engineer Location: United States - Remote Department: Program and Project Management Location: United States – Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a highly…
Senior Agentic AI Software Engineer Location: United States - Remote Department: Program and Project Management Location: United States – Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a…
Agentic AI Security Engineer Location: United States - Remote Department: Program and Project Management Location: United States – Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a highly…
Build and maintain AI-ready data pipelines and platforms on Databricks to power real-time analytics and LLM integrations for a global multifamily real estate operator.
Build and scale backend systems and data pipelines that integrate AI/ML into FICO’s fraud and decision platforms, using Python/Go/Java, Spark, Kafka, and vector databases.
Design and build scalable AI-powered backend systems using Python, Django/FastAPI, and LLM APIs, with real-time features and vector embeddings for context-aware responses.
Build production-grade AI apps using LLMs, RAG, and Agentic AI on AWS; develop secure Python services, containerized microservices, and Kubernetes deployments for public-sector initiatives.
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