AI Engineer

FusionHit

contract

Posted on: 9/17/2025

Origin: • 🇨🇷 Costa Rica

✨ AI Apply

Mid-LevelSenior

AnsibleAWSAzureCloudGoGoogle Cloud PlatformKubernetesPythonRustTerraform

About the role

Lead the design and deployment of AI agents and orchestration frameworks for dynamic task automation.
Develop and optimize Micro LLM deployments for performance at the edge.
Design infrastructure-as-code systems to support scalable AI/ML deployments.
Collaborate with DevOps and MLOps teams to build reliable, automated pipelines.
Drive architectural decisions that impact AI workflows, model deployment, and system monitoring.
Troubleshoot and enhance AI deployments in distributed environments, focusing on performance and cost-efficiency.
Stay current on emerging trends in AI agents, micro-models, and edge technologies.

BS/MS in Computer Science, AI, Machine Learning, or a related field.
5+ years of experience in AI engineering, infrastructure automation, or backend systems.
Strong experience with LLMs and orchestration frameworks (LangChain, AutoGPT, AgentGPT, etc.).
Proven knowledge in deploying and optimizing Micro LLMs in low-latency or edge environments.
Expertise with edge computing technologies and architectures (e.g., NVIDIA Jetson, Coral, or similar).
Deep experience with infrastructure automation tools such as Terraform, Ansible, or Kubernetes.
Strong cloud experience (AWS, Azure, or GCP) with an emphasis on scalable AI infrastructure.
Proficiency in Python (preferred), Go, or Rust.
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS).
Excellent communication skills in English (C1 preferred, strong B2 may be considered).
Must reside and have work authorization in Latin America.
Must be available to work with significant overlap with Mountain Standard Time (MST).