Здесь можно работать над корпоративными GenAI-продуктами, отвечать за результат и использовать современный стек, но широта задач на стыке разработки и платформы может зависеть от уровня.
?Широкий круг задач
Современный стек
Продукт в сфере AI
Ответственность за результат
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, Generative AI (Python/LLMs): Building secure, scalable generative AI services, APIs, microservices, and interfaces for enterprise platforms with an accent on low-latency systems, agentic workflows, and whole-system architecture. Focus on designing core platform components, integrating LLMs and vector databases, and building reliable deployment, monitoring, and security foundations.
Location: Hybrid, based out of the San Francisco, New York City, or London hubs; other listed US locations include Seattle.
Base compensation: $146K–$240K in San Francisco and New York City; $132K–$216K in other US locations, plus equity.
Company
Writer is an AI platform for enterprise marketing and revenue teams, providing autonomous agents, generative AI, enterprise intelligence, governance, and compliance capabilities.
What you will do
Design and develop secure, scalable generative AI services and applications using Python and modern frameworks.
Build and optimize low-latency APIs and microservices integrating AI models and agentic workflows.
Own system design and architecture for core platform components from proposal through production deployment.
Implement responsive interfaces with React and TypeScript, connecting backend services with frontend experiences.
Communicate plans and technical changes while collaborating with product managers, data scientists, and DevOps engineers.
Build continuous deployment, logging, and monitoring systems for performance, security, and reliability across distributed workloads.
Requirements
3–5+ years of hands-on software engineering experience, with strong production Python development.
Experience building and deploying generative AI applications using LLMs, vector databases such as Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks.
Practical experience with microservices, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, Docker, and Kubernetes.
Knowledge of FastAPI, Asyncio, PostgreSQL, and AI developer tools such as Claude, Cursor, or GitHub Copilot.
Experience with enterprise architecture and implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, security practices, or enterprise administration and billing services.
Collaborative communication, proactive problem-solving, cross-functional engagement, mentoring, and accountability for resilient, scalable code from conception through production.
Culture & Benefits
Proactive, ownership-oriented environment with minimal red tape and responsibility for projects from proposal to deployment.
Generous PTO and company holidays.
Medical, dental, vision, FSA, dependent FSA, and eligible-plan HSA coverage, including company contributions.
Paid parental leave for all parents for 16 weeks, plus fertility and family-planning support.
Wellness and learning-and-development stipends, company and team off-sites, stock options, and 401(k).
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →