Software Engineering Intern, AI Agents – Backend Infrastructure

NVIDIA

. Work with senior engineers to design, build, and improve backend services and APIs for internal platforms that run automated workflows at massive scale .

Posted 10/27/2026full-timeRemote • Germany, France, NetherlandsEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong programming fundamentals in Go, Python, or C#, with hands-on experience building AI agents and LLM-powered applications. Proficient in distributed systems, observability tools, and cloud platforms, while effectively collaborating in a team environment.

Highest-signal resume keywords

Go ProgrammingAI Agent DevelopmentDistributed SystemsCloud PlatformsObservability Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Programming FundamentalsData StructuresAlgorithmsAPI DesignLLM APIsSQLMicroservices ArchitectureContainerizationDatabase TechnologiesSoftware Design Patterns

Soft Skills

Problem-SolvingEagerness to LearnCommunicationTeam Collaboration

Tools & Technologies

GitDockerAWSGCPAzureOpenTelemetryPrometheusGrafanaKubernetesMySQL

Industry Keywords

AI AgentsLLM-Powered ApplicationsObservabilityCI/CD PipelinesDevOps Practices

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerElasticSearchGoogle Cloud PlatformGrafanaKubernetesMicroservicesMongoDBMySQLPrometheusPythonRedisSQLGo

About the role

Key responsibilities & impact

Work with senior engineers to design, build, and improve backend services and APIs for internal platforms that run automated workflows at massive scale
Build AI agents and agentic workflows that connect LLMs to tools and internal services, and integrate them into production systems
Help make agents reliable and safe in production through access control, guardrails, and agent quality evaluation
Assist in building data pipelines and GPU job orchestration for synthetic data generation and model evaluation at scale
Implement and improve observability, including tracing, metrics, and logging, for distributed services and agents
Participate in code reviews, testing, and debugging, and apply software engineering best practices in a production environment
Talk to internal users, prototype quickly, collect feedback, and iterate

Requirements

What you’ll need

Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or related field
Strong programming fundamentals in at least one of: Go (preferred), Python, or C#
Solid understanding of data structures and algorithms
Basic knowledge of software design patterns and API design concepts
Hands-on experience building with LLMs, such as a project, prototype, or coursework that uses LLM APIs
Familiarity with version control systems (Git)
Understanding of database concepts and SQL
Strong problem-solving skills and eagerness to learn new technologies
Excellent communication skills and ability to work effectively in a team environment
Experience building AI agents or LLM-powered applications: tool/function calling, MCP, RAG, or agent frameworks (e.g., LangGraph, NVIDIA NeMo Agent Toolkit)
Experience with distributed systems concepts (REST APIs, microservices architecture) and containerization (Docker)
Knowledge of cloud platforms (AWS, GCP, Azure), GPU workloads, and infrastructure automation
Familiarity with CI/CD pipelines, DevOps practices, observability tools (OpenTelemetry, Prometheus, Grafana), and orchestration platforms (Kubernetes)
Experience with database technologies (MySQL, MongoDB, Redis, Elasticsearch)

Benefits

Comp & perks

Competitive salaries
Generous benefits package