Top Tech Jobs & Startup Jobs

Author and QA AI-driven automations for healthcare workflows, execute high-volume automated tasks accurately, maintain technical/process documentation, support application improvements, and collaborate with product, engineering, and QA teams using GitHub, Slack, and JIRA during a fast-paced 3-month contract.

Design and build agentic AI systems that analyze ServiceNow Discovery logs, metrics, failures, and infrastructure telemetry at enterprise scale. Develop agents for failure classification, root cause analysis, troubleshooting, corrective-action recommendations, and Discovery health monitoring. Convert runbooks into reusable workflows with testing, guardrails, and human approval. Integrate OpenAI and Anthropic APIs using RAG and vector databases, while applying advanced Python, CI/CD, infrastructure engineering, and network troubleshooting expertise.

Design and build production-grade AI agents that analyze ServiceNow Discovery logs, metrics, failures, and infrastructure telemetry at enterprise scale. Develop capabilities for failure classification, root cause analysis, corrective-action recommendations, observability, and agentic workflows based on operational runbooks. Integrate OpenAI and Anthropic APIs using RAG and vector databases, while applying testing, guardrails, and human approval. Build supporting Python services, APIs, pipelines, integrations, and CI/CD automation, leveraging infrastructure and network troubleshooting expertise.

Design and build production-grade agentic AI systems that analyze ServiceNow Discovery logs, failures, metrics, and telemetry at enterprise scale. Develop agents for failure classification, root-cause analysis, troubleshooting, corrective-action recommendations, and Discovery ecosystem health monitoring. Integrate OpenAI and Anthropic APIs using RAG and vector databases, convert runbooks into reusable workflows, and apply testing, guardrails, and human approval. The role also requires advanced Python, REST APIs, CI/CD, infrastructure troubleshooting, and network protocol expertise.

Develop agentic AI systems for cloud security baseline enforcement and remediation. Build RAG and vector database workflows using LLM APIs, automate configuration baseline creation, implement AI-enabled drift detection and gap analysis, and generate and validate Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines. Collaborate with globally distributed engineering teams.

Lead the architecture and development of agentic AI workflows for cloud security tooling. Build RAG and LLM-based systems using vector databases to generate Terraform modules, Rego policies, and Regula tests. Oversee AI-enabled drift detection, discovery, gap analysis, validation, and remediation capabilities. Lead technical strategy, service architecture, extensible frameworks, and a distributed follow-the-sun engineering team.

Develop agentic AI systems for cloud security baseline enforcement and remediation. Build RAG, vector database, and LLM workflows; create drift detection, continuous discovery, and gap analysis capabilities; and generate and validate Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines. The role requires collaboration with distributed engineering teams and strong English communication.

Design, develop, and maintain backend APIs using Ruby on Rails and PostgreSQL. Ensure API performance, scalability, and security; write clean, tested code; participate in code reviews and technical discussions; collaborate with stakeholders on requirements; and monitor and optimize API performance in a remote environment.

Lead the architecture and development of agentic AI workflows for cloud security tooling. Build RAG and LLM integrations using vector databases to automate configuration enforcement, drift detection, remediation, Terraform module generation, Rego policy creation, and Regula testing. Define AI technical strategy, design extensible service architectures, and lead and mentor a distributed global engineering team.

Design and build production-scale AI agents that analyze ServiceNow Discovery logs, metrics, failures, and telemetry; classify issues, identify root causes, and recommend or generate corrective actions. Convert runbooks into reusable agentic workflows, integrate OpenAI and Anthropic APIs using RAG and vector databases, and assess Discovery ecosystem health. The role also requires advanced Python, REST API, CI/CD, infrastructure troubleshooting, networking expertise, and operational data analysis.