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Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across…
Build and deploy scalable AI-powered backend systems using Python, FastAPI, and RAG with agentic workflows, vector search, and LLM integrations for enterprise use.
Build and optimize large-scale data pipelines on Databricks and PySpark, then extend them with LLM evaluation, vector search, and ML model pipelines for AI-powered analytics.
What We Do CarParts.com is the go-to eCommerce platform for auto care and maintenance. We provide drivers with quality parts at competitive prices and enable them to schedule appointments with trusted mechanics…
Build and ship full-stack web apps while integrating AI features like LLM-powered tools and RAG systems using modern stacks and cloud-native DevOps.
Own and scale the AI platform infrastructure, deploying and optimizing AWS, Kubernetes, and Amazon Bedrock systems to power next-gen AI features and drive developer productivity.
Lead GenAI adoption at Citi, designing and deploying LLM-powered features (RAG, agentic workflows) in enterprise applications while setting technical standards and mentoring teams.
Build and deploy AI-powered solutions, including copilots and RAG systems, while integrating with enterprise tools like Microsoft 365 and AWS.
Build and scale production-grade agentic AI systems using LLMs, multi-agent orchestration, and RAG pipelines across GCP, Azure, and AWS.
About the Client Our client is a well-established organisation within the Financial Services sector, currently expanding its AI and data capabilities to support a growing portfolio of AI-powered applications,…
Head of AI, North America The Head of AI, North America will lead the creation, adoption, and scaling of AI-driven capabilities across our creative, UX/UI, product, and digital marketing disciplines. This leader will…
Build an AI-native internal platform for Upside’s revenue teams, embedding with go-to-market workflows to automate and orchestrate tasks using LLMs and agentic systems.
Design enterprise-scale data and AI architectures for Fortune 500 customers, integrating cloud data platforms, LLMs, and agentic systems while translating business needs into technical solutions.
Lead a cloud-native data platform that unifies security signals across Salesforce and external systems, using AI/ML for risk scoring, anomaly detection, and automated remediation.
Build a secure, cloud-native data platform that processes 600 TB/day of security signals using Kafka, Spark, and AI/ML for risk scoring and automated remediation.
Lead architecture for AI-powered backend systems and public cloud platforms at Salesforce, designing resilient distributed systems and REST APIs for millions of users.
Lead a Python/FastAPI backend team building the core service for Salesforce’s multi-agent AI orchestration, handling stateful sessions, LLM integrations, and production-scale reliability.
Embed with customer AI teams to design, prototype, and deploy AI agents using W&B Weave, acting as a hands-on technical advisor and troubleshooting production issues.
Build and ship production AI features—LLM agents, RAG pipelines, and streaming responses—into Collibra’s enterprise data governance platform, ensuring governed, secure, and compliant AI for global customers.
Build AI-powered memory retrieval systems and multi-agent pipelines that extract, index, and rank conversation history for personalized LLM responses.
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