Top Remote Jobs

Build and own production-grade generative AI applications for legal technology, specializing in RAG, agentic systems, advanced search, embeddings, reranking, evaluation, and LLM workflows. Responsibilities include architecting modular Python applications, refactoring legacy code, implementing testing and observability, optimizing performance and costs, ensuring resilience and security, reviewing code, and supporting deployments and incident resolution.

Designs, develops, and operationalizes enterprise AI applications, agents, copilots, RAG pipelines, semantic search, and intelligent workflows. Integrates LLMs and AI platforms with enterprise, manufacturing, and data systems using APIs and orchestration frameworks. Establishes AI architecture standards, governance, security, observability, evaluation, and lifecycle practices while optimizing performance, reliability, adoption, and cost.

Lead product, cloud, application, infrastructure, and internal security across Hipp’s healthcare SaaS platform. Responsibilities include architecture reviews, threat modeling, vulnerability management, cloud and identity security, monitoring, incident response, AI-agent security, compliance controls, vendor risk, customer security reviews, and security mentorship.

Designs, operates, and improves cloud and infrastructure security across AWS and multi-cloud environments. Responsibilities include cloud governance, identity and access controls, network security, infrastructure as code, CI/CD and software supply-chain security, container and Kubernetes security, monitoring, threat modeling, incident response, and security automation. The role also contributes to AI security initiatives involving LLMs, AI agents, and MCP integrations, communicates risks across teams, leads complex initiatives, and mentors engineers.

Lead security operations, incident response, threat hunting, vulnerability management, risk assessments, security monitoring, and compliance oversight across cloud, endpoint, and identity infrastructure. Develop response playbooks, automate detection and reporting, manage AI security governance, mentor analysts, and communicate technical risks to stakeholders. The role is remote within the United States and requires PST hours.

Leads end-to-end business analysis for U.S. Department of Veterans Affairs systems, including requirements elicitation, documentation, user stories, process models, acceptance criteria, and traceability. Serves as the liaison between business stakeholders and technical teams, supports Agile ceremonies, manages Jira backlogs, performs impact analysis, supports testing and UAT, and mentors other analysts. Ensures solutions comply with VA security, accessibility, privacy, and delivery standards.

Own product and application security for a multi-tenant insurance platform. Responsibilities include secure SDLC, security-focused code review, application security, tenant isolation, cloud security posture, supply-chain controls, penetration testing, threat modeling, vulnerability management, incident response, and SOC 2 compliance readiness.

Leads product strategy, roadmap, pricing, security product direction, AI governance, integrations, regulatory capabilities, customer discovery, launches, and product team development. Partners with Engineering, Research, Sales, Marketing, Finance, and executives to improve retention, expansion, win rate, margin, and enterprise adoption. Owns detection quality, deployment models, secure-by-design requirements, compliance certifications, competitive positioning, and board-level product communications.

Drives injectable product sales across the Thousand Oaks, Tarzana, and Simi Valley territory. Responsibilities include achieving sales quotas, developing customer relationships, analyzing market and sales data, creating account plans, identifying new business, training qualified providers on on-label injections, supporting promotions and open houses, coordinating with internal teams, and maintaining compliance. Candidates need a bachelor’s degree, at least three years of field sales experience, strong communication skills, and preferably aesthetics-industry experience.

Lead client-facing AI discovery and technical product leadership while designing, prototyping, and productionizing agentic systems, retrieval applications, and enterprise AI workflows. Build full-stack software, evaluation and observability frameworks, safety guardrails, and cloud deployments. Translate business needs into technical specifications, prioritize use cases, and guide solutions from rapid proof of concept through secure, reliable production systems.