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# Forward Deployed Engineer

- **Company:** FriendliAI Corp.
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Computer Engineering, Continuous Integration, Software Debugging, DevOps, Distributed Systems, Network Security, Performance Tuning, Reliability Engineering, Prometheus, Graphics Processing Unit (GPU), DeepSpeed, Large Language Models, Grafana, Kubernetes Helm Charts, Backend, Containerization, Kubernetes, Information Technology, Machine Learning Operations, TensorRT, VLLM, Model Inference, Terraform, Oracle Cloud Infrastructure, Serverless Computing, Docker
- **Published:** October 15, 2026
- **Apply:** https://startup.jobs/forward-deployed-engineer-ai-inference-friendliai-10450615

## About the Role

* 3+ years of experience in cloud infrastructure, DevOps, or reliability engineering
 * Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
 * Proficiency with Kubernetes, Docker, Terraform, and Helm
 * Strong foundation in distributed systems, networking, and performance tuning
 * Experience with GPU-based computing and generative AI model serving workloads
 * Strong technical background in backend systems or AI tooling
 * Experience operating workloads on AWS, GCP, or OCI
 * Excellent problem-solving and debugging skills in real-world environments

Preferred Experience

 * Experience deploying large models (LLMs, diffusion models) on GPUs or clusters
 * Familiarity with inference frameworks (Triton, vLLM, TensorRT, DeepSpeed-Inference)
 * Familiarity with observability stacks (Prometheus, Grafana, Loki, ELK, OTEL)
 * Understanding of networking security and compliance frameworks (e.g., SOC 2)
 * Experience supporting on-prem or hybrid-cloud deployments

## Description

You will work directly on our customers' projects, collaborating with their engineering teams to solve AI inference challenges like scaling, orchestration, and monitoring. This is a hands-on, customer-embedded role. If you have worked in DevOps, platform engineering, or SRE for AI applications, this is your ideal position., * Design and implement large-scale deployment architectures for LLM and multimodal inference

 * Deploy and manage containerized workloads across Kubernetes clusters
 * Diagnose production issues, such as performance bottlenecks, and implement temporary fixes as needed
 * Collaborate with customers' DevOps teams to integrate FriendliAI's infrastructure into their CI/CD workflows
 * Develop scripts, Helm charts, and Terraform modules that simplify repeated deployments
 * Contribute field insights to shape our platform reliability, observability, and scaling strategies
 * Lead workshops, technical sessions, or webinars to help customers master infrastructure best practices.