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This role involves supporting the deployment and operation of Agentic AI solutions within an enterprise environment using Python, AWS, and Snowflake. The developer will focus on automation, data integration, and production support rather than AI model research.
Principal Software Engineer / Architect leading design of scalable distributed systems on AWS and GCP, driving AI-native development practices, and mentoring teams. Core tech includes Java, Python, Kubernetes, Terraform, and major cloud data services.
Reports to the Lead Technical Success Manager in the Programs and Services team within Mayo Clinic Platform (MCP). The Technical Success Manager is responsible for ensuring customers achieve maximum value from platform…
Principal Cloud Architect driving operational maturity across Mayo Clinic Platform by defining standards for CI/CD, observability, infrastructure as code, and reliability engineering in a hyperscale cloud environment (GCP preferred).
The AI Gateway Security Engineer Lead designs and maintains enterprise AI security architectures, including guardrails and policy enforcement for LLM inference in federal environments. The role involves automating security workflows using Kubernetes, Terraform, and CI/CD while mentoring team members and collaborating with cross-functional security and engineering teams.
Senior Software Development Engineer designing and building agentic workflows, LLM integrations, tool-calling systems, and AI-powered features for GRACE, an AI assistant. Focus on application layer development including multi-agent systems, prompt engineering, RAG features, and LLM orchestration across major cloud platforms.
Technical Manager and Application Architect responsible for end-to-end architecture, technical leadership, and people management of Java/Spring Boot microservices on AWS, driving AI-assisted development and DevSecOps practices.
Lead Software Engineer designing, building, and deploying AI-enabled enterprise solutions using agentic patterns, coding assistants, and cloud platforms for a climate-tech company.
We are looking for an AI Engineer with Full-Stack experience to build scalable, production-ready Generative AI and Agentic AI applications across frontend, backend, AI, and cloud. Key Responsibilities Develop…
About Us Mercedes-Benz USA, headquartered in Atlanta, GA, is responsible for the sales, marketing, and service of Mercedes-Benz and Maybach products in the United States. Our people demonstrate a strong commitment to…
Tiered Approach In line with the commitment to safeguard capacity and support personnel already in the Organization, a majority of UNDP UNCDF/UNV vacancies are advertised using a tiered application process whereby:…
AI Platform Architect at Definity (insurance) defining and governing the enterprise GenAI platform — LLM integration, RAG patterns, MLOps/LLMOps pipelines, and responsible AI guardrails on GCP/AWS.
Build and ship AI-powered web and mobile learning apps for kids, using agentic workflows and LLMs to refactor, test, and optimize code across platforms.
Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase,…
A hands-on engineer builds and deploys AI systems for grocery chains, splitting time between customer sites and Afresh’s platform to turn field learnings into reusable tooling.
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the…
Software Engineer on the ML Developer Experience team building developer tooling, SDKs, CLIs, APIs, and platform services for the Anyscale/Ray distributed computing platform, spanning cloud infrastructure to the Ray runtime.
Leads hands-on development of agentic AI applications, including multi-agent workflows and RAG pipelines, while mentoring engineers and aligning AI systems with business goals using cloud platforms and LLM integration.
The Vertex AI Engineer will build and manage intelligent multi-agent systems using Vertex AI Agent Builder and the Agent Developer Kit to automate business workflows. The role involves integrating these agents with enterprise databases like BigQuery and Spanner using the Model Context Protocol.
Build and evolve the backend and frontend systems powering Coder’s agentic development platform, using Go, React, and TypeScript to connect agents with real development environments.
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