Empromptu.ai · 11 hours ago
Forward Deployed Engineer
United States
Full-time
Remote
Senior Level
$100K/yr - $150K/yr
5+ years expEmpromptu.ai is a company focused on transforming legacy platforms into AI-native applications. The Forward Deployed Engineer will work with enterprise teams to design and implement AI applications, ensuring robust integration and operational excellence.
Artificial Intelligence (AI)Developer ToolsSoftware
Responsibilities
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
Qualification
Required
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
Preferred
Experience with refactoring legacy systems, modularizing monoliths, or migrating existing products
Background in observability, metrics, reliability engineering, or systems monitoring
Experience working in regulated or enterprise domains (finance, healthcare, security)
Worked in consulting, solutions / forward-deployed engineering roles
Contributions to open-source infra, AI tooling, or shared libraries
Benefits
Equity: Early-stage ownership
Remote-first: Work from anywhere in the US
Flexible PTO
Strong health/dental/vision coverage
Company
Empromptu.ai
Build sophisticated AI applications and features that work reliably in production.
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$2MKey Investors
Precursor Ventures
2025-12-09Pre Seed· $2M
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