Responsibilities
- Build bespoke MCP servers for enterprise customers. You'll architect, develop, and deploy custom MCP servers tailored to each customer's specific systems, APIs, and workflows.
- Work directly with customers to understand their needs. You'll conduct discovery sessions, technical deep-dives, and ongoing collaboration to ensure solutions meet their exact requirements.
- Solve ad-hoc problems with code and AI. You'll tackle unique integration challenges, data transformation needs, and custom workflow requirements using both traditional coding and AI-assisted development.
- Iterate rapidly based on customer feedback. You'll continuously improve and extend MCP servers based on real-world usage patterns and customer requests.
- Bridge technical and business requirements. You'll translate business needs into technical specifications and communicate technical constraints to business stakeholders.
- Contribute to our MCP platform and tooling. You'll help improve our core platform based on insights gained from customer deployments and common patterns you identify.
Requirements
- 4+ years of software engineering experience with proficiency in Python, TypeScript/JavaScript, and modern development practices
- Proven track record of working directly with enterprise customers, understanding their needs, and delivering technical solutions that meet business requirements
- Deep experience building integrations with various APIs, databases, and enterprise systems
- Understanding of authentication, data transformation, and error handling patterns
- Experience working with AI/ML systems, understanding of LLM capabilities and limitations, and comfort with AI-assisted development workflows
- Ability to quickly understand complex business problems, break them down into technical components, and build pragmatic solutions
- Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders
- Comfort with building quick prototypes and MVPs to validate approaches before full implementation
Nice to Have
- Direct experience with Model Context Protocol, FastMCP, Vercel AI sdk, Agents SDK, LangGraph, or similar AI agent frameworks
- Background working with enterprise systems like Salesforce, ServiceNow, Jira, Slack, or similar platforms
- Experience with containerization, cloud deployments, and CI/CD pipelines for customer-facing solutions
- Understanding of enterprise security requirements, data privacy, and compliance frameworks
Benefits
- Competitive salary and equity
- 4 weeks paid vacation
- Paid sick leave
- Paid parental leave
- Professional development
- Top-tier equipment
- Health benefits
- Customer interaction opportunities
Work Arrangement
Remote (Worldwide)
Additional Information
- Work directly with innovative companies and see the immediate impact of your work.
