Software engineer, connectors & MCP
Writer is hiring a Software engineer, connectors & MCP in San Francisco, United States. It pays $132k-$240k a year and Level rates it ; you can apply on Writer.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- The posting allows some remote work.
- Tools and skills the posting cites include AI agents.
- Level lists 47 other open roles at Writer.
- The role was posted within the past week.
AI in this role
🚀 About WRITER
WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterprise growth. With WRITER, autonomous agents work across the buyer journey, continuously executing on market signals and enterprise intelligence to grow revenue faster. Every agent action and asset is grounded in trust, built on an Enterprise Brain that unites brand, product, and company knowledge with fiduciary-grade governance and compliance.
Fortune 500 companies are transforming how they go to market with WRITER, including 3 of the top 5 US banks, 2 of the 5 largest global CPG conglomerates, and 4 of the top 5 US healthcare insurers. Founded in 2020, WRITER is backed by investors including Insight Partners, ICONIQ, Radical Ventures, Premji Invest, Balderton, B Capital, Salesforce Ventures, Adobe Ventures, Accenture, Citi Ventures, IBM Ventures, WndrCo, and others. Learn more at WRITER.com.
📐 About the role
We're looking for an exceptional software engineer to join our rapidly evolving team at WRITER. In this pivotal role, you'll be at the forefront of expanding human capacity by building the next generation of AI-powered solutions that transform how leading enterprises operate. You'll dive deep into developing a state-of-the-art platform that leverages cutting-edge generative AI technologies, from large language models to sophisticated agentic workflows, delivering seamless, scalable, and secure applications that redefine enterprise productivity. This is an unparalleled opportunity to make a tangible impact, shaping the future of AI and contributing to a product that’s changing how the world works.
This role is hybrid, based out of our San Francisco, New York City, or Seattle hubs. You'll report to our senior director, engineering.
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 deliver secure, scalable AI integration platforms that connect enterprise systems and power mission-critical automation.
Contribute to the design and evolution of our AI integration client ecosystem, defining how AI applications securely connect to external tools, data sources, and enterprise systems.
Own backend service design for high-throughput, low-latency APIs that enable reliable agent workflows and complex cross-system orchestration.
Set technical direction for identity, auth, and trust boundaries across integrations (OAuth, API key, service-to-service), balancing developer velocity with security and compliance.
Partner with product and cross-functional engineering leaders to shape roadmap, define technical strategy, and translate ambiguous business goals into durable platform capabilities.
Lead production excellence through a metrics-first reliability strategy, defining and enforcing SLOs/SLAs, maturing observability, and driving resilience, incident readiness, and performance optimization at scale.
Raise the engineering bar through architecture reviews, pragmatic design standards, rigorous testing strategy, and mentorship of senior and mid-level engineers.
⭐️ What you need
5+ years of software engineering experience building and operating production backend systems using Typescript, Deno, Node.js, or Bun; scope and leveling can flex across Senior to Staff based on architectural impact and leadership.
Strong experience designing and shipping API-driven platform services and distributed systems, including microservices, event-driven patterns, and secure service-to-service communication.
Practical expertise building AI integration layers (e.g., MCP clients/servers, tool orchestration, external API connectors, auth mediation), not just prompt or model experimentation.
Deep hands-on knowledge of authentication and security patterns for third-party integrations (OAuth2/OIDC, API keys, token lifecycle, secret management, least-privilege access).
Proven cloud-native experience on AWS, GCP, or Azure, including containerized workloads (Docker/Kubernetes), CI/CD, and production operations.
Strong experience with observability and reliability engineering, including defining/operating service metrics, SLOs/SLAs, alerting, incident response, and performance tuning.
Solid backend fundamentals in modern server frameworks and data systems (e.g., TypeScript/Node or Python ecosystems, PostgreSQL), with ability to choose the right tool for the system; experience with Python is a plus but not required.
Demonstrated ability to lead through ambiguity: partner cross-functionally, mentor engineers, drive technical decisions, and own delivery from design through production.
You embody our core values of Connect, Challenge, and Own. You build strong partnerships across teams, challenge conventional thinking to drive innovation, and take ownership of your work with a focus on delivering meaningful impact and excellence.
🍩 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
WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.
How we rate this
Software engineer, connectors & MCP at Writer rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $132k
- Typical software engineer job
- $167k
This posting starts 21% below the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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