Parallel Partners

Lead design and delivery of production-grade AI systems and orchestration layers with technical leadership and mentoring. | Strong backend or AI engineering experience with distributed systems and proficiency in Python, Node.js, Docker, and Kubernetes. | Job Description Lead AI Engineer, Work From Home We are looking for a Lead AI Engineer to own the design, development, and delivery of production AI systems across our backend and workflow automation stack. The Lead AI Engineer role sits at the core of the AI platform, where model capabilities are translated into reliable, scalable, and production-grade systems that directly impact real users and business outcomes. This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems. We have multiple openings for this position. This position is 100% Remote. Lead AI Engineer Responsibilities: - Lead the design and development of production AI systems powering insurance workflow automation. - Architect AI orchestration layers connecting LLMs, backend services, and business workflows. - Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies. - Drive engineering decisions around latency, reliability, cost, and scalability of AI services. - Lead implementation of Observability Systems (logging, monitoring, tracing, alerting). - Review and guide backend AI implementation across engineering teams. - Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features. - Debug complex production issues across distributed AI systems and lead root-cause analysis. - Define engineering standards and best practices for AI system development. - Mentor engineers and elevate technical execution quality across teams. Lead AI Engineer Outcomes: - AI systems operate reliably at scale with strong performance and low latency. - AI workflows are stable, observable, and production-grade across multiple products. - System architecture supports rapid iteration without compromising reliability. - Production incidents are quickly identified, resolved, and prevented. - Engineering teams execute faster and with higher technical quality under your leadership. - AI capabilities are deeply integrated into global insurance workflows. Qualifications Lead AI Engineer Qualifications: - Strong backend or AI engineering experience in production environments. - Experience building or scaling AI systems (LLMs, embeddings, recommendation systems, or automation workflows). - Strong system design skills with experience in distributed systems. - Experience with production inference pipelines and AI orchestration. - Strong debugging ability in high-scale, latency-sensitive environments. - Experience with observability, monitoring, and incident response. - Proven ability to lead technical execution in cross-functional teams. - Strong ownership mindset and ability to drive projects end-to-end. - Comfortable working in fast-paced, globally distributed teams. - Tech Stack: Anthropic, Distributed Systems Tools, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Stack (Logging, Metrics, Tracing), OpenAI, Open-Source Models, Python, and SQL. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, Lead AI Engineer, Anthropic, Distributed Systems Tools, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Stack (Logging, Metrics, Tracing), OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire a Lead AI Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Lead AI Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information All your information will be kept confidential according to EEO guidelines. Compensation: USD 160000 - USD 225000 - yearly

Build and operate scalable backend systems and orchestration layers powering AI-driven workflows, optimizing performance and reliability. | Strong backend engineering experience with production systems focusing on high-throughput, low-latency services and familiarity with AI systems and distributed tooling. | Job Description AI Backend Engineer, Work From Home We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across our platform. This role sits at the core of our AI stack, between models, backend systems, and real users, where latency, correctness, reliability, and cost directly impact production experience. This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems. We have multiple openings for this position. This position is 100% Remote. AI Backend Engineer Responsibilities: - Build and operate backend systems that serve AI-powered insurance workflows in production. - Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic. - Build inference pipelines for LLM-based and AI-assisted automation systems. - Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing). - Design stable service boundaries between backend systems, ML components, and product APIs. - Implement observability: logging, metrics, tracing, alerting, and incident response workflows. - Debug production issues across distributed AI systems and resolve root causes. - Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features. - Continuously improve system reliability, scalability, and performance. AI Backend Engineer Outcomes: - AI backend systems run reliably at scale with low latency and high availability. - AI workflows are stable, observable, and production-ready across multiple products. - System performance improves continuously through real-world feedback and optimization. - Production incidents are quickly detected, diagnosed, and resolved. - AI capabilities are seamlessly integrated into global customer and internal workflows. Qualifications AI Backend Engineer Qualifications: - Strong backend engineering experience in production systems. - Experience building or operating high-throughput, low-latency services. - Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows). - Experience with distributed systems and production debugging. - Strong understanding of APIs, data flows, and system design principles. - Experience with observability tools (logging, monitoring, tracing). - Strong ownership mindset and bias toward shipping. - Comfortable working in fast-paced, globally distributed teams. - Tech Stack: Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, AI Backend Engineer, AI, Anthropic, Artificial Intelligence, Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Low Latency, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire an AI Backend Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire AI Backend Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information All your information will be kept confidential according to EEO guidelines. Compensation: USD 140000 - USD 200000 - yearly

Enforce cybersecurity policies, monitor logs and endpoints, manage privileged accounts, support compliance checks, and assist with incident response. | 4 to 6 years of cybersecurity and compliance analyst experience, Security+ certification required, experience with vulnerability scanning and cloud security, CISSP, CISM, or CISA certification preferred. | Job Description Cybersecurity Compliance Analyst We are currently looking for a Cybersecurity Compliance Analyst for a great opportunity in Washington, DC. This position is primarily on-site but may allow for hybrid or remote flexibility if the candidate meets all background and compliance requirements. Cybersecurity Compliance Analyst Responsibilities: - Enforce in-house cybersecurity policies (HISPOL/HISPUB), monitor logs and endpoints, manage privileged accounts, support compliance checks, and assist with incident response. Qualifications Cybersecurity Compliance Analyst Qualifications: - Need to have 4 to 6 years of Cybersecurity and Compliance Analyst experience. - A Security+ certification is required. - Experience with vulnerability scanning and cloud security (Microsoft 365/AWS). - A CISSP, CISM, or CISA certification is preferred. Benefits include medical insurance, retirement plan, PTO, etc. Keywords: Washington DC Jobs, Cybersecurity Compliance Analyst, Cybersecurity, Compliance Analysis, Security+, Vulnerability Scanning, Cloud Security, Microsoft 365, AWS, CISSP, CISM, CISA, HISPOL, HISPUB, Washington DC Recruiters, IT Jobs, Washington DC Recruiting Looking to hire a Cybersecurity Compliance Analyst in Washington, DC or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Cybersecurity Compliance Analysts for jobs in Washington, DC and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at http://www.recruiter.technology and http://www.parallelpartners.com.