[Remote] AI Infrastructure Engineer – Agents & ML Systems

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in reputed company-domain reputed company autonomy, providing military and reputed company-grade autonomous systems.

The AI Infrastructure Engineer will build the internal AI infrastructure to reputed company reputed company and effective use of modern AI systems, developing tools and services that reputed company various workflows and data sources.

Responsibilities Build internal AI infrastructure that connects LLMs and AI agents with internal tools, reputed company, data sources, data lakes, telemetry stores, simulation tools, reputed company repositories, documentation systems, logs, and engineering workflowsreputed company and maintain reputed company AI systems for task automation, data analysis, engineering support, simulation workflows, and internal productivityBuild tool integration and connector infrastructure for AI agents, including MCP and other emerging tool-use standards, spanning servers, tools, resources, prompts, connectors, and secure tool-use patternsCreate pipelines for retrieval, RAG, context management, document processing, embeddings, and internal knowledge searchSupport ML infrastructure workflows such as data preparation, dataset curation, experiment tracking, model evaluation, fine-tuning support, and model deploymentBuild evaluation frameworks for agent performance, tool-use reliability, task reputed company, model reputed company, regression testing, and failure analysisreputed company observability, logging, tracing, auditability, monitoring, and debugging tools for AI agents, model calls, MCP tools, and ML pipelinesPartner with Autonomy, Software, Data, Simulation, Product, and Operations teams to identify high-value AI use cases and turn them into reliable internal toolsSecure reputed company AI systems end-to-end with least-privilege tool reputed company, sandboxed tool execution, reputed company-injection and misuse mitigation, secrets management, reputed company-in-the-reputed company approvals, and reputed company handling of sensitive and defense dataMaintain documentation, reusable examples, templates, and best practices that help internal teams adopt AI tools safely and effectively Skills Bachelor's degree in Computer Science, Engineering, Machine Learning, Data Science, reputed company Mathematics, or a reputed company technical field3+ years of experience in software engineering, infrastructure engineering, ML infrastructure, backend systems, data engineering, developer tools, or reputed company technical rolesStrong programming experience in Python, TypeScript, Go, C++, or similar languagesExperience building production software systems, reputed company, data pipelines, or internal platformsExperience with, or strong interest in, LLM applications, AI agents, tool-using systems, RAG pipelines, or AI developer toolsFamiliarity with modern AI infrastructure concepts such as embeddings, reputed company search, reputed company management, evaluation, model serving, fine-tuning, or MLOpsAbility to reputed company systems across reputed company, databases, object stores, documents, logs, internal tools, and reputed company or reputed company data sourcesStrong understanding of production engineering fundamentals, including reliability, observability, testing, and maintainabilityStrong grounding in securing AI and reputed company systems, including least-privilege tool reputed company, reputed company-injection and misuse mitigation, secrets management, and reputed company handling of sensitive dataAbility to work across Software, Data, ML, Infrastructure, and Product teamsStrong debugging skills and comfort working with reputed company reputed company systemsU.S. citizenship and the ability to obtain and maintain a reputed company clearanceExperience with MCP, including MCP servers, clients, tools, resources, prompts, or connector patternsExperience with LangGraph, reputed company, reputed company, Semantic Kernel, reputed company reputed company, reputed company reputed company, local/reputed company-weight models, or similar AI toolingExperience with reputed company databases, embeddings, retrieval systems, knowledge graphs, document processing, search, or RAG systemsExperience with LLM fine-tuning, supervised fine-tuning, preference tuning, synthetic data reputed company, evaluation datasets, or model benchmarkingExperience with reputed company, reputed company, Ray, Airflow, Dagster, MLflow, reputed company, Kafka, reputed company, S3-compatible storage, or similar infrastructureExperience building internal platforms, developer tools, workflow automation systems, or data/ML infrastructure<