Forward Deployed Engineer
Core
Design, build, and deploy production-grade AI-driven systems, specifically AI agents and scalable services, within enterprise environments.
Role type
Senior IC AI Backend Engineer
Builds
Production AI agents, retrieval/orchestration workflows, and scalable microservices
Domain
Enterprise AI / Cloud-Native Systems
Deliverable
production ML models
Required skills
Cloud-native systems, AI/LLM production deployment, Python, Java, CI/CD pipelines, Infrastructure as Code, Multi-agent system design, Enterprise API integration, Cost/performance optimization, AI platform integration (OpenAI, Claude, Vertex AI)
Preferred skills
Agent frameworks (LangGraph, AutoGen, CrewAI), Docker, Kubernetes, Serverless patterns, Event-driven architectures, Terraform, Helm, Evaluation framework creation
Technologies
AI, Backend, CI/CD, Cloud, Docker, Helm, Java, Kubernetes, LLM, Python, Serverless, Terraform, microservices
Responsibilities
Design and implement AI agents and scalable services for production environments, Build retrieval, orchestration, tool invocation, and policy-based routing workflows, Develop solutions using microservices, Docker, Kubernetes, serverless patterns, and event-driven architectures, Implement CI/CD, infrastructure as code, and deployment automation, Create evaluation frameworks that measure accuracy, latency, reliability, and related quality metrics, Ensure production readiness through logging, monitoring, observability, and fault-tolerant design, Integrate with AI providers and build abstraction layers for multi-model, multi-provider systems, Optimize model selection and usage for performance, cost, and response time, Build and deploy AI-powered applications aligned with business workflows, Connect AI capabilities with existing enterprise platforms, APIs, and backend services, Measure and tune system performance, including throughput, latency, accuracy, and cost, Debug and improve live production systems
Seniority
Senior, hands-on IC
