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Design, build, and operate production-grade agentic AI systems (multi-agent orchestration, RAG pipelines, frontier model integration) for ServiceNow's enterprise platform using Python, with a focus on safety, governance, and Fortune 500-scale deployment.
What's the opportunity? We are seeking a Lead Data and AI Quality Engineering to join our Risk and Compliance team and take ownership of quality assurance for AI and Non-Financial Risk Reporting initiatives. This…
DESKRIPSI PEKERJAAN Key Responsibilities Own and operate the complete AWS data hub: Bronze (S3, raw partitioned data), Silver (Apache Iceberg on S3, ACID transactions, domain tables), and Gold (Amazon Athena views with…
Hands-on senior backend IC building Go services, APIs, data pipelines, and AWS infrastructure for a medical-grade wearable physiology data platform in a compliance-aware (HIPAA/SOC 2) environment.
Applied AI Engineer embedded with life sciences research partners (HHMI, Allen Institute) to build LLM-powered agents, MCP servers, and benchmarks that integrate Claude into real scientific workflows from discovery through translation.
Analytics Engineer building data products, ETL pipelines, predictive models, and AI-enabled workflows for the Denver Broncos using SQL, Python, Snowflake, dbt, and Power BI/Tableau.
Hands-on senior full-stack engineer owning a sales-engagement SaaS platform end to end—backend (Node), frontend (Angular), AWS infrastructure, and production operations—using TypeScript, Angular, and AWS, with Claude Code AI workflows as a core daily tool.
Design, develop, and deploy agentic AI systems including multi-agent orchestration, RAG pipelines, and LLM-powered copilots using Python, LangChain, LangGraph, and cloud infrastructure.
Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept…
Build and maintain security operations for a code intelligence platform, focusing on monitoring, incident response, and securing cloud infrastructure using Go, Elastic, and GCP.
Lead a team building developer tools that let engineering teams and AI agents safely make large-scale code changes across massive codebases using Go, TypeScript, and AI-driven workflows.
Builds and improves AI-powered code intelligence tools like Deep Search and Query Assist, designing multi-step agent loops, selecting models, and optimizing cost/latency for enterprise-scale developer platforms.
Builds and maintains Sourcegraph’s cloud infrastructure and platform services, enabling scalable code intelligence for developers and enterprises using Go, Kubernetes, and cloud providers.
Build and ship AI platform features on top of MariaDB’s relational database, integrating agent frameworks (LangChain, CrewAI) and vector/RAG systems to power enterprise AI applications with multi-cloud deployment.
Role Name: Python Developer Location: Calofornia(Onsite) Job Description: Seeking a Python Developer with strong experience in FastAPI, Pydantic, JSON/OpenAPI, and Google Cloud Platform. The role focuses on building…
The Full Stack Engineer will join the APA team to build and maintain web and mobile analytics features for restaurant operators using Python, Django, and React. The role involves end-to-end ownership of features, including performance optimization, BI dashboard development, and AI-driven data insights.
Top Skills' Details ***100% remote but must sit withing 50 miles/1 hour to Tempe office*** Must support financial professionals using proprietary and vendor technology platforms Requires ability to troubleshoot…
AbbVie’s global Information Research (IR) group has a mission to unlock information that makes cures possible. Within IR, the Enterprise Knowledge Accelerator (EKA) team serves as a trusted knowledge partner for…
Lead Data Engineer building and maintaining cloud-based data pipelines, ETL/ELT workflows and data architecture while mentoring a team for a global faith-based organisation in Cape Town. Core tech: SQL, Python, cloud data platforms (Azure Data Factory, Databricks, BigQuery, Snowflake), Docker, Git.
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