Forward Deployed Software Engineer (AI Agents)
Role details
Job location
Tech stack
Job description
- Reverse engineer undocumented APIs, ERPs, TMS systems, and internal tools with minimal guidance.
- Debug broken data pipelines, mismatched schemas, and flaky integrations in production environments.
- Sit onsite with customer teams (~25% travel) to diagnose failures and ship fixes in real time.
- Make pragmatic tradeoffs to get systems live under tight timelines.
- Own customer go-lives end-to-end - from scoping to production stability., * You enjoy debugging messy real-world systems more than building pristine internal abstractions
- You're comfortable sitting with customers and figuring things out in ambiguous environments
- You prefer shipping impact quickly over polishing perfect architectures, * Backend: Node + TypeScript on Encore.dev. Event-driven design with message passing and queues. Hosted on GCP
- Database: PostgreSQL
- LLMs: OpenAI, Anthropic, Google for foundation models; fine-tuned models on Vertex AI
- Browser Automation: Playwright
- Frontend: Next.js + React + TypeScript. Hosted on Vercel
- Observability: Datadog for logging and metrics, * Impact from Day One: Your first week might involve wiring a new integration into production or debugging a workflow that saves a customer hours. This isn't demo work-it's real implementations
- Ownership & Autonomy: Propose ideas, whiteboard them, ship without layers of approvals. One standup at 10 am PST-primary focus is building, not meetings
- Close-Knit Pods: We sit side by side, so questions get answered in minutes. Small PRs, fast iteration, observability-first
- Culture: Catered lunch daily at 12 pm. Thursday boba runs. AI tools encouraged (Claude, Cursor)-but you must understand the architecture
- Compensation: Salary and equity at 80th percentile, plus bonuses tied to customer go-lives. We promote from within-several teammates earned promotions in under a year
Requirements
Do you have experience in Transportation management systems?, * 1-5 years of experience shipping and owning production systems in high-growth or early-stage environments
- Strong experience integrating with third-party APIs, authentication systems, and event-driven workflows
- Experience debugging distributed systems in production under real customer constraints
- Comfortable working in ambiguous environments where documentation is incomplete, and requirements evolve during execution
- Experience working directly with customers or external stakeholders is a strong plus, * You're primarily interested in model research or pure ML experimentation
- You prefer deeply scoped platform work without external customer interaction
- You're looking for a remote-first environment
Benefits & conditions
3.33.3 out of 5 stars New York, NY $160,000 - $200,000 a year, The estimated salary range for this role is $160,000-$200,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and growth opportunities. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.
Pallet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.