51 to 74 of 74 Remote Cloud Run Jobs

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

core technology and the solutions we build for clients. Key Responsibilities GCP Infrastructure & Internal Dev Environments Design, provision, and manage GCP infrastructure (GKE, Cloud Run, Compute Engine, Cloud Storage, VPC, IAM) for Kodamai's core technology platform. Build and maintain internal development environments … security, and cost efficiency. Define infrastructure-as-code (IaC) standards across all environments. Implement robust monitoring, alerting, and logging using GCP-native tools (Cloud Monitoring, Cloud Logging) and third-party stacks (Prometheus, Grafana). Client Deployment Advisory & Requirements Analysis Engage with clients to analyze their existing ...

collaboration with enterprise architects and software engineering teams. Implement and manage infrastructure supporting platform tools, including upgrades, security patches, and performance improvements. Evaluate cloud platforms, containerization technologies, and infrastructure configurations to create reusable solutions for application teams. Develop and maintain Infrastructure as Code (IaC) and utilize CI/… programming language. Experience with PostgreSQL. Experience with cloud infrastructure. Experience using Jenkins. Experience with Java. Preferred Qualifications Experience with Google Cloud Platform (GCP). Experience with GCP Cloud Run. Experience with BigQuery. Experience with Python. Experience with GCP services including BigQuery, Cloud ...

with your positive attitude. Responsibilities: Design, develop, and maintain AI‐driven applications and agents, and integrate them into existing clinical applications Design and run the evaluation pipelines that gate AI outputs for quality and safety, building eval sets in partnership with clinicians, product and operations, versioning every prompt … technical topics into understandable language for colleagues across product and clinical domains. Desirable: Familiarity with Vertex AI/Gemini Enterprise and the wider Google Cloud Platform (e.g. Cloud Run, Pub/Sub, Cloud Storage). Experience with an LLM observability or evaluation ...

London****Package: Negotiable + Benefits**We are seeking an AI Engineer to design, build, and deploy Generative AI and AI‐driven applications using Google Cloud Platform (GCP) and leading Large Language Models (LLMs) such as ChatGPT (OpenAI) and Claude (Anthropic).This role is hands‐on and delivery‐focused … agents using platforms such as ChatGPT (OpenAI) and Claude (Anthropic).**Cloud & Platform Engineering (GCP)*** Develop and deploy AI solutions on Google Cloud Platform, leveraging services such as Vertex AI, BigQuery, Cloud Run, and secure API integrations.* Implement scalable, resilient architectures suitable ...

back-end components of applications within the data science and AI consulting team with a focus on GenAI and agentic solutions. · Collaborating cloud architects, data scientists, product managers, and business consultants to bring ideas to production. Design agentic workflows with HITL gates, auditability, policy controls, and robust evaluation … Generative AI models and using Agentic AI frameworks in a client-facing environment, by building GenAI And Agentic solutions, including data engineering in cloud environments. The ability to demonstrate the potential that AI has to offer to unlock business value. Your Technical Expertise: This list shows the technologies ...

Langgraph, Microsoft Agent Framework, Llamaindex and other Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars Leading multi-disciplinary teams to execute complex requirements Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large … scale, from concept to production. Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks. Experience designing cloud-native data and AI architectures across Azure, GCP, AWS and/or Databricks. The ability to demonstrate the potential that scaling AI unlocks business ...

applications (chatbots, copilots, document intelligence, decision‐support tools) for insurance use cases; implement Retrieval‐Augmented Generation patterns; build LLM‐based workflows and agents. Cloud & Platform Engineering (GCP): Deploy solutions on GCP leveraging Vertex AI, BigQuery, Cloud Run, secure API integrations; build scalable, resilient, compliant … with ChatGPT/OpenAI APIs and/or Anthropic Claude; prompt engineering, system prompts, evaluation techniques; implementation of RAG, vector databases, semantic search. Cloud Platforms: Strong experience with GCP, especially Vertex AI; Docker/containerised workloads; cloud security, IAM, cost management. Data & AI Tooling: Working with ...

that needs to carry us for years, not quarters. The Team Our Foundation team owns the platform every engineer at Gigs builds on: cloud infrastructure, CI/CD, observability, golden paths, and the shared services that keep our product running. That charter is expanding. We believe the next … code completion, understand context engineering and agentic patterns, and can tell the difference between a demo and a dependable workflow Strong infrastructure fundamentals: cloud platforms (GCP preferred), infrastructure-as-code, CI/CD, and the operational instincts to run what you build Experience driving adoption across ...

Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs ...

Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs ...

Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs ...

Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs ...

Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs ...