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Build and operate an internal AI platform that automates developer workflows, deploys LLM tools, and integrates AWS Bedrock and agentic frameworks to accelerate quantum-computing tooling.
Build and own the data foundation: reliably land source data into Snowflake, process it on Databricks, and instrument clean product telemetry so data scientists can trust and use it.
Design and maintain AWS-based CI/CD pipelines, IaC with Terraform, and AI/ML services (SageMaker, Bedrock) for a wealth-management client.
Principal CX Architect designs and delivers AI-native contact center solutions using Amazon Connect, Bedrock, and Lex, leading a team to build scalable conversational AI, routing, and analytics while ensuring production-grade reliability and security.
Staff AI Engineer builds, evaluates, and scales AI features for a healthcare platform, setting safety and quality standards while coaching teams on agentic systems and LLM best practices.
Build and enhance AI-powered financial software using Python, FastAPI, React, and AWS, including agentic workflows and LLM integrations for treasury and trade operations.
About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we…
Build AI-powered cybersecurity tools: design LLM pipelines, retrieval systems, and MCP infrastructure to help security leaders assess risk with trustworthy, actionable insights.
Build and lead production-grade conversational AI agents using LLMs, RAG, and guardrails, while owning the full stack and cloud infrastructure in a hands-on leadership role.
Are you a driven sales professional with a strong background in generative AI technologies and exceptional communication skills, looking to make a significant impact in the rapidly evolving AI space? If so, you’ll…
Build and maintain scalable data pipelines and AI systems using Python, SQL, NLP, and LLM technologies to support data-driven decision-making and GenAI solutions.
Build and lead a production-grade conversational AI system using LLMs, RAG, and guardrails; own the full stack, infrastructure, and security for a live AI agent answering user queries.
Design and implement scalable cloud data architectures, lead Data Lakehouse development, and build ETL/ELT pipelines using Python, SQL, and Spark for a government-linked AI platform.
Design and build scalable cloud-native data pipelines and lakehouse architectures for a government housing agency, using Python, Spark, Kafka, and AWS services.
Design and build cloud-native data pipelines and AI solutions on AWS and Snowflake, optimizing datasets and automating workflows for production use.
Backend Engineer building scalable AI orchestration frameworks, RAG systems, and cloud-native AI services using Python, PostgreSQL, and vector databases to power enterprise-grade generative AI applications.
Build and operate cloud-native data pipelines and AI solutions using Java, AWS, and Snowflake, designing scalable, secure data products for enterprise clients.
Design and build scalable cloud data pipelines and lakehouse architectures for a government project, using Python, Spark, Kafka, and AWS services.
Design and build scalable cloud-native data pipelines and lakehouse architectures, integrating AI/ML capabilities for a government data platform using Python, Spark, Kafka, and AWS services.
Build and maintain scalable AI platforms using Kubernetes, Terraform, and CI/CD pipelines on Azure and AWS, supporting MLOps and Generative AI workloads.
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