Employment type: Contractor or Contract-to-Hire
Location: Remote — Europe preferred; exceptional candidates considered globally
Compensation: Target range of USD $100,000–$140,000 annually, with flexibility up to approximately $200,000 for exceptional talent
Our client is building an enterprise-ready AI coworker for procurement, legal, and sales teams. Its platform connects with the systems companies already use—including ERPs, contract platforms, email, and collaboration tools—to review contracts, surface risks, track obligations, and deliver grounded answers with citations to the underlying source data.
Rather than requiring customers to replace their existing workflows, Vallor integrates directly with their technology stack and helps teams automate contract review, negotiation, renewals, compliance, and value recovery.
Our client is an early-stage company with an 11-person team and a highly AI-native engineering culture. As the company expands its enterprise customer base, it is looking for a senior engineer who can combine excellent product engineering with ownership, customer empathy, and strong technical judgment.
About the RoleWe’re looking for a Senior or Staff Software Engineer who is highly proficient in TypeScript, strong on the backend, and comfortable contributing across the full stack.
You’ll join a small engineering team and take meaningful ownership of architecture, implementation, and delivery. Your initial work will support an important enterprise customer, requiring you to collaborate directly with stakeholders, translate their needs into product capabilities, and deliver high-quality solutions independently.
This is an excellent opportunity for an engineer who enjoys early-stage environments, modern serverless architecture, customer-facing problem-solving, and AI-native software development.
What You’ll DoDesign, build, and ship production features across Vallor’s TypeScript stack
Own backend services, APIs, integrations, data flows, and serverless infrastructure
Contribute to the frontend when needed using Next.js and TypeScript
Work directly with enterprise customers to understand their workflows and technical requirements
Translate customer needs into well-scoped, maintainable product features
Communicate tradeoffs, clarify requirements, and push back constructively when needed
Build integrations across enterprise systems, contract platforms, communication tools, and third-party APIs
Design and maintain serverless, event-driven systems on AWS
Contribute to infrastructure-as-code workflows using SST and related tooling
Use AI coding agents extensively to accelerate development and parallelize work
Review, test, debug, and improve AI-generated code rather than accepting raw output
Maintain a high standard for code quality, security, reliability, and maintainability
Help shape engineering practices and technical direction as the team grows
Identify opportunities beyond the initial customer requirements and turn them into valuable product improvements
Senior or Staff-level software engineering experience
Deep professional experience with TypeScript
Strong backend engineering skills using Node.js, Bun, or similar runtimes
Ability to contribute across the full stack, including modern React or Next.js applications
Experience building and operating production systems on AWS
Strong understanding of serverless and event-driven architecture
Experience designing APIs, integrations, and distributed backend workflows
Experience with PostgreSQL or similar relational databases
Familiarity with infrastructure as code
Strong product judgment and ability to turn ambiguous needs into shipped solutions
Excellent written and verbal English communication
Ability to work directly with customers and non-technical stakeholders
Strong organization, attention to detail, and project ownership
Experience using advanced AI coding tools or agents as a core part of daily development
Ability to critically review and take ownership of AI-generated code
Previous experience as a founding engineer or early-stage startup engineer
Experience in a forward-deployed, solutions engineering, implementation, or technical consulting role
Experience working directly with enterprise customers
Deep knowledge of AWS infrastructure and systems architecture
Experience with SST, Pulumi, or comparable infrastructure-as-code tools
Experience coordinating multiple AI coding agents in parallel
Experience building enterprise AI products or workflow-automation platforms
Experience integrating with systems such as SAP, NetSuite, Salesforce, Snowflake, Microsoft 365, Slack, or contract lifecycle management platforms
Public projects, open-source contributions, or code samples that demonstrate engineering quality
Experience bringing structure and engineering maturity to a small, fast-growing team
Our client operates in a highly AI-native development environment, with the majority of code produced through AI-assisted workflows. Engineers are expected to go beyond basic autocomplete or occasional chatbot use.
The right candidate will know how to direct coding agents, break work into parallel streams, evaluate generated implementations, detect subtle problems, and ensure that every contribution meets production standards. The engineer—not the AI tool—remains accountable for the quality and correctness of the final product.
What Success Looks LikeDuring your first three months, you will become familiar with Vallor’s platform and take ownership of clearly defined deliverables for a major enterprise customer. You’ll work closely with internal and customer stakeholders to implement the functionality they need.
Over time, you’ll move beyond the initial roadmap: identifying unmet needs, proposing solutions, improving the platform’s architecture, and helping Vallor scale its product and engineering organization.
Interview ProcessThe process is designed to move quickly and may include:
Initial conversation with Vallor’s leadership
Technical conversation with the CTO
Final combined interview
Review of a project or code sample
Professional reference checks
G2i technical, TypeScript, agentic coding, and communication assessments may be used to streamline the interview process.
