Software Engineer, WRITER
Generative AI
Enterprise AI platform for agentic work
Job no longer available
Enterprise AI platform for agentic work
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To bring generative AI to the enterprise.
Role
Who you are
- 5+ years of experience in software engineering at expert level with Python
- Experience building with generative AI applications in production environments
- Expertise with microservices architecture and RESTful APIs
- Solid understanding of database technologies such as PostgreSQL and vector databases as Elastic, Pinecone, Weaviate, or similar
- Familiarity with cloud platforms (AWS, GCP, etc.) and containerized environments (Docker, Kubernetes)
- You are committed to writing clean, maintainable, and scalable code, following best practices in software development
- You enjoy solving complex problems and continuously improving the performance and scalability of systems
- You thrive in collaborative environments, working closely with cross-functional teams to build impactful features
- Proven ability to help teams adopt technical best practices
Desirable
- Experience with frontend technologies such as React and TypeScript
- If you have built devtools, AI agents, or contributed to open source, please share them!
What the job involves
- As a key member of our engineering team, you will play a crucial role in building the GenAI software
- Your primary focus will be on developing a state-of-the-art platform that harnesses generative AI technologies, working across both frontend and backend to create seamless and scalable solutions
- You will work closely with cross-functional teams to design, implement, and maintain features that enhance the user experience, drive product growth, establish best practices, and integrate cutting-edge AI capabilities
- Design and develop robust and scalable backend systems using modern programming languages such as Python, TypeScript and Scala
- Implement responsive and user-friendly frontend interfaces, leveraging technologies like React, TypeScript, and modern web frameworks
- Work with cloud platforms such as AWS, GCP, or Azure to deploy and scale applications
- Develop and integrate APIs that support AI-driven functionality, ensuring high performance and low latency
- Collaborate with AI researchers to integrate generative models into production systems
- Ensure code quality through testing, peer reviews, and continuous integration practices
- Participate in architectural design discussions and help drive engineering best practices
- Continuously improve the performance, scalability, and maintainability of the application
- Monitor and Optimize: Ensure the monitoring, observability, and performance of deployed AI features using tools like Prometheus, OpenTelemetry, or DataDog
Our take
AI-assisted writing tools have taken off over recent years. With the likes of high-exposure company Grammarly accelerating adoption of such tools, a flurry of startups have appeared to offer their own takes. WRITER’s angle is to leverage AI as a means of standardizing and scaling both content and communications for business teams. The tool offers auto filling and inline suggestions that keep content aligned with pre-determined company language and style guides.
This branded fine-tuning function distinguishes it from full copy-generation competitors, as well as from Grammarly itself, which is a more generalist copyediting tool. It subsequently caters to major enterprise clients looking to maintain standards across multiple and sprawling teams, and the company has managed to net major clients like Deloitte, Twitter, UiPath, and Accenture.
While AI-related buzz remains solidly around generative AI's like ChatGPT and Bard, WRITER's narrow target market - in which it has already found success - supplies plenty of scope to grow, as AI copyediting tools look set to rapidly become content industry standard. With continued new launches and updates to its offerings, as well as an impressive $200 million Series C awarded in 2024, the company is well-placed for further success.
Steph
Company Specialist at Welcome to the Jungle
Insights
229% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2024
$200m
SERIES C
Sep 2023
$100m
SERIES B
Total funding: $326m
Company benefits
- Health: Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA.
- Family-friendly: Competitive parental leave policy, working parents can truly own their schedules.
- Hybrid culture: We’re built around a mix of in office collaboration and remote work when needed.
- Finance: Company stock options, plus a 401k plan with employer contributions.
- Growth: Learning and development stipend and generous PTO.
- SF/NY/London office space: Three beautiful sunny offices in three incredibly exciting cities.
Company HQ
Union Square, San Francisco, CA
Leadership
May Habib
(Co-Founder & CEO)Harvard economics graduate, who was previously VP of sovereign wealth fund Mubadala Development Company, and a global shaper at the World Economic Forum. Also co-founded Qordoba.
Waseem Alshikh
(Co-Founder & CTO)Previously co-founded CloudAppers, then served as CTO at iMENA. Subsequently co-founded AI content editor Qordoba.
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