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Domino Data Lab

Forward Deployed Engineer, Intern

Domino Data Lab

. Spend 10 weeks working directly with customers and teams to help them realize value from the Domino platform .

Posted 11/2/2026internshipRemote • United StatesEntry Level💰 $50 - $55 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in Python and familiarity with AI/data engineering concepts, including applied AI systems and container technologies. Strong communication and problem-solving skills are essential for customer-facing roles in diverse industries such as healthcare and finance.

Highest-signal resume keywords
Proficiency In PythonExperience With R, Java, Or C/C++Building Applied AI SystemsFamiliarity With Docker And KubernetesBasic Knowledge Of Cloud Providers

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonRJavaC/C++AI/Data EngineeringApplied AI SystemsRAG PipelinesAgentic WorkflowsModel Evaluation
Soft Skills
Strong Communication SkillsProblem Solving SkillsCustomer Empathy
Tools & Technologies
DockerKubernetesAWSAzureGCP
Industry Keywords
HealthcareLife SciencesFinanceGovernment

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformJavaKubernetesPythonSpringC++

About the role

Key responsibilities & impact
  • Spend 10 weeks working directly with customers and teams to help them realize value from the Domino platform
  • Write code and design solutions
  • Support real-world, high-stakes environments spanning healthcare, life sciences, finance, government, and beyond
  • Contribute to impactful and visible projects from the start
  • Work with software engineering, customer empathy, and domain awareness in a forward deployed engineering role

Requirements

What you’ll need
  • Passion for AI/data engineering, software engineering, large language models, and real world applications
  • Proficiency in Python is required
  • Additional experience with R, Java, or C/C++ is a plus
  • Exposure to building applied AI systems such as RAG pipelines, agentic workflows, or model evaluation through coursework, internships, or personal projects
  • Comfort picking up container concepts such as Docker and Kubernetes
  • Basic familiarity with a cloud provider such as AWS, Azure, or GCP
  • Strong communication and problem solving skills
  • Interest in customer-facing work
  • Graduating in Spring 2028
  • Pursuing a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field

Benefits

Comp & perks
  • Monthly housing stipend may be provided for the duration of the internship
  • Mentorship
  • Practical experience
  • Teaching and learning environment
  • Visa sponsorship may be available depending on business considerations and role requirements