AI Application Development Just Got 100x Easier
Forward Deployed Engineer
Location
United States
Posted
93 days ago
Salary
$100K - $130K / year
Seniority
Senior
Job Description
Forward Deployed Engineer
Empromptu.ai
• You won’t just deliver a demo — you’ll be embedded with enterprise teams to turn ideas into production systems. • Dive deep into customer platforms Understand their system topology, data sources, APIs, event flows, domain logic, and constraints. • Design AI-native application modules Propose new or replacement subsystems that infuse reasoning, feedback loops, adaptation, agentic decision logic, or predictive behaviors. • Integrate Empromptu’s core stack Embed model inference layers, pipelines, accuracy infrastructure, observability/telemetry, error handling, fallback logic, and feedback mechanisms. • Build connectors and adaptors Connect to CRMs, databases, event streams, internal tools, third-party APIs, and legacy services. • Handle schema mismatches, latency, and failure modes. • Deliver pilots and proofs of concept Launch quick iterations, validate business metrics, refine, then expand to full-scale deployment. • Ensure operational robustness Bring in monitoring, logging, metrics, alerting, fallback paths, and resilience into your systems so they’re production-grade. • Enable and empower customer teams Document best practices, train engineering teams, set up observability dashboards, and hand off maintainable systems. • Feedback loop into core product Surface patterns, common adapters, pain points, and abstractions back to Empromptu’s infrastructure and product teams, helping us build better primitives.
Job Requirements
- 5+ years of software engineering, systems/integration, or platform architecture experience
- Strong backend or full-stack development skills (Python, TypeScript/Node.js, Go, etc.)
- Deep experience with cloud platforms (AWS / GCP / Azure), containers, microservices, serverless, eventing systems
- Proficiency in API design, data pipelines, integration challenges, reliability engineering
- Exposure to ML/AI infrastructure (model serving, embeddings, inference, feedback loops) or proven ability to pick it up fast
- Excellent communication skills — you’ll be collaborating with both customer engineers and business stakeholders
- Comfort in ambiguous environments; you’ll make architectural decisions in evolving contexts
Benefits
- Competitive salary
- Equity: Early-stage ownership
- Remote-first: Work from anywhere in the US
- Flexible PTO
- Strong health/dental/vision coverage
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