Software Engineer, WRITER
Agents
$140.7-292.4k
Offers equity
Enterprise AI platform for agentic work
Open for applications
Enterprise AI platform for agentic work
501-1000 employees
Open for applications
$140.7-292.4k
Offers equity
501-1000 employees
Company mission
To bring generative AI to the enterprise.
Role
Who you are
- 3+ years of professional software engineering experience with strong proficiency (3+ years) in Python in production environments
- Proficiency in native agentic coding, demonstrated through the daily use of tools like Cursor, Claude Code, and other agentic coding platforms
- Demonstrated experience building distributed systems, microservices, or complex backend APIs that support AI/agent workflows
- Solid expertise with systems that integrate AI models, agent frameworks (e.g., LangChain or platform-specific tooling), vector databases, and large context reasoning services
- Understanding of agent orchestration patterns, state management, and asynchronous workflows
- Experience with cloud platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and operational engineering best practices
- Good grasp of performance optimization, testing frameworks, and CI/CD pipelines
- Excellent communication and collaboration skills, with a “connect + challenge + own” mindset
- Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops
- Contributions to open-source agent toolkits or SDKs
- Experience with frontend technologies (React, TypeScript) for tooling around agent management interfaces
What the job involves
- We’re seeking a highly skilled fullstack software engineer to join our engineering team building advanced AI-driven agent systems that execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications
- In this role, you’ll play a key part in designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems. You will collaborate with cross-functional teams to turn complex agent concepts into production-ready systems
- Design, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks
- Develop and enhance robust infrastructure and high-throughput APIs, focusing on core agent capabilities such as memory, communication channels, skills, intelligent decision logic, security and workflow management
- Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs
- Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software
- Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance)
- Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability
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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