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AI Engineer at FusionHit. We are seeking a forward-thinking . AI Engineer. to join our team at FusionHit. This role focuses on designing and deploying advanced AI systems with a specialization in agent orchestration, micro LLMs, and AI at the edge. The ideal candidate will thrive in a fast-paced environment and demonstrate deep technical expertise in building scalable AI infrastructure and automation pipelines.. You will be contributing to high-impact AI initiatives, ensuring robust deployment strategies, efficient orchestration of models and agents, and scalable solutions that reach the edge. Our focus is on pushing the boundaries of AI applications by optimizing performance across distributed environments and developing infrastructure that supports complex, real-time automation.. Location:. Must reside and have work authorization in Latin America.. Availability:. Must be available to work with significant overlap with Mountain Standard Time (MST). . The Ideal Candidate Has:. . 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). . . Key Responsibilities:. . 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. . . Perks of working at FusionHit:. . Certified as a Great Place to Work, offering a supportive and inclusive work culture.  . . Work from home position . . Private Medical Insurance . . Corporate Access to FusionHit Udemy Account . . Personal and Professional Development Courses & Certifications . . Flexible Schedule . . 3 Sick Days per year . . Birthday Off . . Extra Days for Special Occasions . . Team Building Meal Reimbursement . . Equipment Granted . . Monthly Recognitions . . High Impact Committees . . Company Location: Costa Rica.