Forward Deployment Engineer only W2 (30-50% Travel)

OverviewSeeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable cloud-native solutions.ResponsibilitiesAI Agent Engineering• Design and implement AI agents, including:? Retrieval (RAG)? Orchestration workflows? Tool/function invocation? Policy-based routing• Build evaluation frameworks for accuracy, latency, and reliability• Implement observability and monitoring for agent lifecycle.AI Platform Integration• Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models)• Build abstraction layers to support multi-model and multi-provider architectures• Optimize model usage for performance, cost, and latencyCloud-Native Development• Develop scalable services using:? Microservices architecture? Containers (Docker, Kubernetes)? Serverless and event-driven patterns• Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm)• Ensure production readiness, logging, monitoring, and fault toleranceApplication Development• Build and deploy AI-powered applications aligned to business workflows• Integrate AI systems into existing enterprise platforms and APIs• Develop backend services and APIs supporting agent workflowsTesting & Performance• Define and execute test strategies for AI systems• Measure system performance (latency, throughput, accuracy, cost)• Debug and optimize production systems.Required Skills & Experience• 8-10+ years of software engineering experience• Strong experience with cloud-native systems (APIs, microservices, containers, serverless)• Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)• Proficiency in Python, Java, or similar backend languages• Experience with:? CI/CD pipelines? Infrastructure as code? Monitoring and observability tools• Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)Preferred Experience• Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI)• Experience designing multi-agent or distributed AI systems• Familiarity with enterprise-scale system integration• Experience optimizing AI workloads for cost and performance.• Scope & Expectations• 100% hands-on engineering role (no people management)• Deliver production-quality code and deployments• Work within existing architecture and engineering standards• Collaborate with client and internal engineering teams as needed• Participate in technical design discussions (implementation-focused)

Created: 2026-05-09