Ginas Tech Jobs

Build and maintain cross-platform desktop applications with AI features focusing on reliability and real-time performance. | Proven software engineering experience with AI and production Electron app development, proficient in JavaScript, TypeScript, React, and real-time transport mechanisms. | Job Description Software Engineer, Desktop, Artificial Intelligence (AI) Required, Work From Home The Software Engineer, Desktop will own how the system behaves on desktop environments. Your work focuses on reliability, performance, and real-time behavior in production desktop applications. This position is 100% Remote. Software Engineer, Desktop Responsibilities: - Build and maintain cross-platform desktop applications using Electron. - Design responsive and scalable UIs for real-time collaboration. - Implement desktop-specific functionality including file system access, native notifications, auto-updates, and deep linking. - Integrate Artificial Intelligence (AI)-powered features (chat, agents, Artificial Intelligence (AI) assistance) via backend APIs. - Optimize startup time, memory usage, and runtime performance. - Profile and reduce Electron overhead. - Manage large local state and message history efficiently. - Ensure smooth real-time updates (messages, typing indicators, presence). - Maintain stability across macOS and Windows environments. Qualifications Software Engineer, Desktop Qualifications: - Proven software engineering experience. - Artificial Intelligence (AI) experience required. - Hands-on experience building production Electron applications. - Strong proficiency in JavaScript and TypeScript. - Experience with React or similar UI frameworks. - Solid understanding of the desktop application lifecycle. - Experience with IPC communication. - Experience working with local storage (SQLite, IndexedDB, filesystem). - Experience with WebSockets or other real-time transport mechanisms. - Strong debugging and performance profiling skills. - Familiarity with native OS behaviors on macOS or Windows. - Tech Stack: Electron, Node.js, NoSQL, SQL, and Typescript. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, Software Engineer, Desktop, AI, API, Artificial Intelligence, Electron, IndexedDB, IPC Communications, JavaScript, macOS, Node.js, NoSQL, React, Real Time, SQL, SQLite, Typescript, UI, User Interface, WebSockets, Windows, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire a Software Engineer, Desktop 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 Software Engineers, Desktop for jobs in San Francisco, California 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 www.ginastechjobs.com. Compensation: USD 150000 - USD 170000 - yearly

Design and maintain internal AI-powered tools and platforms to improve organizational efficiency, owning full system lifecycle. | 5+ years in software engineering with AI focus, backend languages, cloud infrastructure, and SaaS integration experience. | Job Description Senior Engineer, Internal Tools, Artificial Intelligence (AI) Required, Work From Home The Senior AI Engineer is the engineering backbone of the internal tools team. Building and maintaining the platforms that every team in the company relies on. Your work directly increases organizational efficiency and enables teams to move faster. The Senior AI Engineer will own systems end-to-end, from scoping and architecture through production deployment and iteration, connecting multiple business systems into a seamless, reliable internal ecosystem. This position is 100% Remote. Senior Engineer Responsibilities: Build & Ship: - Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams. - Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring. - Write clean, well-tested, production-grade code. You hold yourself to the same bar as customer-facing products. Architecture & Integration: - Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack. - Design for reliability, performance, and scale what you build today must hold as the company grows 5–10x. - Eliminate data silos. Build clean data pipelines that maintain a single source of truth across systems. - Own your services in production: monitoring, alerting, incident response, and post-mortems. AI & Automation: - Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes. - Move fast from prototype to production. You know the difference between a demo and a system that works at scale. - Stay current on emerging AI capabilities and proactively identify where they unlock step-change improvements in internal productivity. Collaboration & Influence: - Work directly with business stakeholders to understand pain points and translate them into technical solutions. You don’t wait for a spec you help shape it. - Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example. - Influence technical direction: propose architectural improvements, challenge assumptions, and drive best practices across the team. Qualifications Senior Engineer Qualifications: - 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems. - Artificial Intelligence (AI) experience required. - Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java. - Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices. - Hands-on experience building and maintaining API integrations between third-party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite). - Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL. - Comfort with ambiguity. You can take a vague business problem, break it down, and deliver a working solution without heavy handholding. - Clear communicator who can explain technical tradeoffs to non-technical stakeholders. - Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus. - Frontend experience with React, Next.js, or equivalent modern frameworks is a plus. - Familiarity with HRIS, ERP, or people systems data models and processes is a plus. - Experience at a high-growth or AI-native company is a plus. - Contributions to developer experience tooling, CLIs, or internal SDKs is a plus. - Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, Senior Engineer, AI, API, Artificial Intelligence, AWS, Azure, Backend, CI/CD Pipelines, Cloud Infrastructure, Containerization, CRM, DevOps, Docker, ETL, Full Stack, GCP, Go, Google Cloud Platform, HRIS, Java, Kubernetes, LLM, NetSuite, Node.js, Python, SaaS, Salesforce, Slack, Software as a Service, SQL, TypeScript, Workday, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, California Recruiters, IT Jobs, California Recruiting Looking to hire a Senior 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 Senior 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 Please check out all of our jobs at www.ginastechjobs.com. Compensation: USD 150000 - USD 190000 - yearly

Build end-to-end AI product features and design agent workflows integrating LLMs and external tools for reliable AI systems. | Strong full stack engineering experience with proven AI background, specifically LLMs and RAG systems, and ability to work in fast-paced, evolving environments. | Job Description Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users. This position is 100% Remote. Full Stack Engineer Responsibilities: - Build end-to-end product features across frontend, backend, and AI integrations. - Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps. - Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions. - Design real-time AI interactions with streaming, partial results, and tight latency constraints. - Improve system reliability, observability, and fallback mechanisms. - Collaborate closely with ML, backend, and product teams to ship features end-to-end. - Continuously iterate based on real usage and failure modes. Full Stack Engineer Outcomes: - Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows. - Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions. - Reduce latency and improve responsiveness of AI interactions while maintaining output quality. - Build robust fallback and recovery mechanisms for LLM and tool failures in production environments. - Improve the success rate and reliability of AI-driven workflows through iteration, evaluation, and monitoring. - Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems. - Contribute to a product experience where AI feels proactive, consistent, and dependable over time. Qualifications Full Stack Engineer Qualifications: - Strong experience in Full Stack Engineering (Frontend and Backend). - Artificial Intelligence (AI) experience required. - Solid understanding of system design and API architecture. - Experience working with LLMs, RAG systems, or AI-powered applications. - Ability to handle ambiguity and make pragmatic engineering decisions. - Strong ownership; able to take features from idea to production. - Comfort working in fast-moving environments with evolving requirements. - Tech Stack: AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, and SQL. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, Full Stack Engineer, AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, SQL, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire a Full Stack 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 Full Stack 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 Please check out all of our jobs at www.ginastechjobs.com. Compensation: USD 140000 - USD 190000 - yearly

Lead design and delivery of production-grade AI systems and orchestration layers, driving engineering decisions and mentoring engineers. | Strong backend or AI engineering experience with distributed systems and LLMs, 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 Please check out all of our jobs at www.ginastechjobs.com. Compensation: USD 160000 - USD 225000 - yearly

Build and operate scalable backend systems and orchestration layers powering AI-driven workflows with focus on performance and reliability. | Strong backend engineering experience with high-throughput, low-latency production systems and familiarity with AI systems, LLMs, 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 Please check out all of our jobs at www.ginastechjobs.com. Compensation: USD 140000 - USD 200000 - yearly