Software engineer, generative AI

Writer

$150K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5+ years of software engineering experience focusing on Python in production settings.
  • Expertise in building generative AI applications using LLMs and vector databases.
  • Hands-on experience with microservices architecture, APIs, and cloud platforms like AWS or GCP.
  • Familiarity with modern web technologies such as FastAPI and Asyncio.
  • Understanding of enterprise architecture, including IAM and security best practices.
  • Active engagement with cross-functional teams, mentoring engineers, and proactive problem-solving.

Responsibilities

  • Design and develop secure, scalable generative AI applications using modern frameworks.
  • Build and optimize high-performance APIs and microservices for advanced AI integration.
  • Own the architectural design of core platform components from proposal to deployment.
  • Implement responsive user interfaces to improve user experience.
  • Communicate changes and collaborate with cross-functional teams effectively.
  • Partner with DevOps on continuous deployment and system reliability.

Benefits

  • Generous PTO and company holidays.
  • Comprehensive medical, dental, and vision coverage for employees and family.
  • Paid parental leave of 16 weeks.
  • Fertility and family planning support.
  • Early-detection cancer testing through Galleri.
  • Flexible spending account and dependent FSA options.
  • Health savings account with company contributions.
  • Annual wellness and learning stipends.
  • Company-wide and team off-site events.
Full Job Description
About the role

Imagine stepping into a role where your code directly empowers the world's largest enterprises to safely adopt superintelligence. As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive in complex corporate environments. The impact of this work is massive - for example, in the consumer packaged goods industry alone, our AI adoption is driving 69% revenue increases and 72% cost reductions.

This role is designed for a well-rounded engineering generalist who leans heavily into generative AI while bringing a whole-systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that's changing how the world works. This is a hybrid role based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager.

We are open to hiring for this role at multiple levels, with compensation ranges scaled to match your experience, expertise, and the scope of the role.

What you'll do
  • Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation
  • Build and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into our core platform
  • Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deployment
  • Implement and maintain responsive user interfaces using technologies like React and TypeScript to deliver intuitive user experiences and bridge the gap between backend services and frontend enablement
  • Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams and collaborating closely with product managers, data scientists, and DevOps engineers
  • Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top-tier performance, security, and reliability across distributed workloads


☆ What you need
  • 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments
  • Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks
  • Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes
  • Solid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate your engineering workflows
  • Exposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systems
  • A Connect mindset that thrives in collaborative settings where you actively engage with cross-functional teams and mentor other engineers, a Challenge spirit that drives you to tackle complex technical hurdles and proactively suggest innovative improvements, and an Own attitude where you take full accountability for delivering high-quality, resilient, and scalable code from conception to production


Benefits & perks (US Full-time employees)
  • Generous PTO, plus company holidays
  • Medical, dental, and vision coverage for you and your family
  • Paid parental leave for all parents (16 weeks)
  • Fertility and family planning support
  • Early-detection cancer testing through Galleri
  • Flexible spending account and dependent FSA options
  • Health savings account for eligible plans with company contribution
  • Annual work-life stipends for:
    • Wellness stipend for gym, massage/chiropractor, personal training, etc.
    • Learning and development stipend
  • Company-wide off-sites and team off-sites
  • Competitive compensation, company stock options and 401k

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