Applied AI Engineer Internships
Applied ai engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and deploying real AI systems, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated in {{top_industries_phrase}}, with Amazon, TikTok, and ByteDance among the employers posting roles now.
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The Forward Deployment Engineer (FDE) Intern will work within the SearsKAIros Applied AI Division at TransformCo, partnering directly with business and operational teams to identify opportunities for AI-driven automation and workflow optimization. This role combines software engineering, AI application development, operational problem solving, and stakeholder engagement. The intern will rapidly prototype, deploy, and improve AI agents that drive measurable operational and financial outcomes across various business functions including Sears Home Services, Kenmore, and Central Finance.
JOB SUMMARY:
The Forward Deployment Engineer (FDE) Intern is responsible for embedding with operational teams to understand existing workflows, identify inefficiencies, and develop production-ready AI agent solutions using the SearsKAIros Applied AI platform. This role requires a highly adaptable individual who can work in ambiguous environments, rapidly prototype solutions, integrate AI technologies, measure performance outcomes, and support adoption of AI-enabled workflows across the organization.
REPORTS TO:
CEO, Sears KAIros
Responsibilities/Skills/Experience Requirements
- Shadows business operators, dispatchers, planners, analysts, and finance partners to understand and document current manual processes and workflows
- Analyzes operational pain points and translate business workflows into AI agent specifications
- Designs, builds, tests, and deploys AI agents on the SearsKAIros Applied AI platform
- Integrates AI agents with internal systems and external AI models including Claude, OpenAI Realtime, Gemini, and MCP servers
- Prototypes and iterates quickly, owning the full lifecycle of AI solutions from concept through production deployment
- Develops evaluations, guardrails, monitoring, and rollback procedures for deployed AI agents
- Builds dashboards, KPI tracking, and reporting tools to measure operational and business impact
- Collaborates with engineering teams, operational leadership, and field teams to support implementation and adoption
- Trains users, respond to escalations, and incorporate operational feedback into continuous improvements
- Documents implementation patterns, best practices, and reusable processes to accelerate future AI deployments
- Presents workflow analyses, solution recommendations, and performance outcomes to stakeholders and leadership teams
JOB REQUIREMENTS:
- Some undergraduate education
- 1-2 years of related experience
- 18 years of age or older
REQUIRED SKILLS:
- Strong software engineering fundamentals with proficiency in Python and TypeScript
- Ability to quickly understand and modify unfamiliar codebases
- Hands-on experience building applications using Large Language Models (LLMs), including prompting, tool usage, function calling, retrieval systems, agent loops, and evaluation frameworks
- Experience deploying or shipping AI-based solutions or applications
- Working knowledge of SQL and data analysis tools, including the ability to independently query and analyze data from platforms such as Snowflake
- Strong problem-solving skills and ability to work effectively in ambiguous, fast-paced environments
- Excellent written and verbal communication skills, including the ability to document workflows and present findings clearly to both technical and non-technical audiences
- Ability to collaborate directly with operational stakeholders and business users
- Currently enrolled in a Bachelor s, Master s, or PhD program in Computer Science, Electrical Engineering, Operations Research, Applied Mathematics, or a related quantitative field
- Authorized to work in the United States and able to complete required background checks prior to systems access
PREFERRED SKILLS:
- Familiarity with MCP, agent orchestration frameworks, or related technologies such as LangChain, LlamaIndex, or OpenAI Agents SDK
- Prior internship or project experience deploying AI or machine learning solutions in enterprise or operational environments
- Exposure to field service operations, logistics, supply chain, contact center operations, or finance workflows
- Experience working with voice agents, real-time APIs, or telephony integrations
- Demonstrated ability to rapidly prototype and operationalize AI solutions with measurable business impact
Years Experience
Travel Requirements
Country
Work-In City
Work-In State
Work-In Postal Code
Business
Job Function
Employment Category
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Additional Compensation Explanation
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The Forward Deployment Engineer (FDE) Intern will work within the SearsKAIros Applied AI Division at TransformCo, partnering directly with business and operational teams to identify opportunities for AI-driven automation and workflow optimization. This role combines software engineering, AI application development, operational problem solving, and stakeholder engagement. The intern will rapidly prototype, deploy, and improve AI agents that drive measurable operational and financial outcomes across various business functions including Sears Home Services, Kenmore, and Central Finance.
JOB SUMMARY:
The Forward Deployment Engineer (FDE) Intern is responsible for embedding with operational teams to understand existing workflows, identify inefficiencies, and develop production-ready AI agent solutions using the SearsKAIros Applied AI platform. This role requires a highly adaptable individual who can work in ambiguous environments, rapidly prototype solutions, integrate AI technologies, measure performance outcomes, and support adoption of AI-enabled workflows across the organization.
REPORTS TO:
CEO, Sears KAIros
Responsibilities/Skills/Experience Requirements
- Shadows business operators, dispatchers, planners, analysts, and finance partners to understand and document current manual processes and workflows
- Analyzes operational pain points and translate business workflows into AI agent specifications
- Designs, builds, tests, and deploys AI agents on the SearsKAIros Applied AI platform
- Integrates AI agents with internal systems and external AI models including Claude, OpenAI Realtime, Gemini, and MCP servers
- Prototypes and iterates quickly, owning the full lifecycle of AI solutions from concept through production deployment
- Develops evaluations, guardrails, monitoring, and rollback procedures for deployed AI agents
- Builds dashboards, KPI tracking, and reporting tools to measure operational and business impact
- Collaborates with engineering teams, operational leadership, and field teams to support implementation and adoption
- Trains users, respond to escalations, and incorporate operational feedback into continuous improvements
- Documents implementation patterns, best practices, and reusable processes to accelerate future AI deployments
- Presents workflow analyses, solution recommendations, and performance outcomes to stakeholders and leadership teams
JOB REQUIREMENTS:
- Some undergraduate education
- 1-2 years of related experience
- 18 years of age or older
REQUIRED SKILLS:
- Strong software engineering fundamentals with proficiency in Python and TypeScript
- Ability to quickly understand and modify unfamiliar codebases
- Hands-on experience building applications using Large Language Models (LLMs), including prompting, tool usage, function calling, retrieval systems, agent loops, and evaluation frameworks
- Experience deploying or shipping AI-based solutions or applications
- Working knowledge of SQL and data analysis tools, including the ability to independently query and analyze data from platforms such as Snowflake
- Strong problem-solving skills and ability to work effectively in ambiguous, fast-paced environments
- Excellent written and verbal communication skills, including the ability to document workflows and present findings clearly to both technical and non-technical audiences
- Ability to collaborate directly with operational stakeholders and business users
- Currently enrolled in a Bachelor s, Master s, or PhD program in Computer Science, Electrical Engineering, Operations Research, Applied Mathematics, or a related quantitative field
- Authorized to work in the United States and able to complete required background checks prior to systems access
PREFERRED SKILLS:
- Familiarity with MCP, agent orchestration frameworks, or related technologies such as LangChain, LlamaIndex, or OpenAI Agents SDK
- Prior internship or project experience deploying AI or machine learning solutions in enterprise or operational environments
- Exposure to field service operations, logistics, supply chain, contact center operations, or finance workflows
- Experience working with voice agents, real-time APIs, or telephony integrations
- Demonstrated ability to rapidly prototype and operationalize AI solutions with measurable business impact
Years Experience
Travel Requirements
Country
Work-In City
Work-In State
Work-In Postal Code
Business
Job Function
Employment Category
Compensation Range
Additional Compensation Explanation
EEO/EOE Footer
Posting Tags
Company Brand
Location City
Applied AI Engineer Internship Market
Who's Hiring
Tips for Your Applied AI Engineer Internship Search
Apply in fall for the following summer
Large technology and enterprise employers open summer applied ai engineer internship recruiting as early as August and September. If you wait until spring, many structured cohorts are already full. Set a calendar reminder to start applications in the fall semester, even if start dates feel far away.
Build a public portfolio before you apply
For applied ai engineer intern candidates, a linked code repository or project page is the artifact that gives recruiters something concrete to evaluate. Build two or three complete projects using real frameworks, PyTorch, LangChain, Hugging Face, document what you built and why, and make sure every link in your resume opens without errors.
Work your campus network and apply directly at the same time
Career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Apply directly to companies running smaller cohorts alongside campus activity so you reach employers who never visit your campus at all.
Practice your technical screen out loud before applying
Applied ai engineer intern screens typically combine a coding assessment on algorithms and data structures with applied ML questions about model selection, evaluation, and trade-offs. Practice solving problems out loud and explaining your reasoning at each step, because interviewers weigh how you think through a problem as much as the final answer you reach.
Target structured AI internship and residency programs early
Larger technology companies run cohort-based AI internship and residency programs specifically designed to train people new to the field. These programs recruit early, fill fast, and often carry a higher conversion rate than ad-hoc intern placements. Identify the ones that fit your background and apply in the first wave of their recruiting cycle.
Set your work-type filter before you start
On-site roles are 67% of the applied ai engineer internships listed here. Decide what you can realistically commit to before you start searching, then filter by location and work type so you spend your time on roles you can actually accept rather than sorting through listings that don't fit your situation.
Applied AI Engineer Internships: Frequently Asked Questions
How do I get an applied ai engineer internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. For applied ai engineer candidates, the concrete artifact recruiters want to assess is linked code or a public repository showing you've built and shipped something with real AI tools. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an applied ai engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it for applied ai engineer interns is performance on real project work, whether the team has open headcount when your internship ends, and how early you signal interest in returning. Position yourself by delivering on your project scope and asking about the return-offer process before your internship concludes.
When should I apply for applied ai engineer internships?
Earlier than most candidates expect. Large technology and enterprise employers open summer internship recruiting the preceding fall, meaning cohorts can fill months before the start date. Smaller companies and co-op programs post closer to when roles begin, so openings appear year-round. Checking listings regularly rather than waiting for a single season gives you the widest window.
Are applied ai engineer internships paid?
Most professional applied ai engineer internships in the United States are paid. Compensation varies by company size, industry, and location, and listings show it where the employer chooses to disclose it. Unpaid internships do exist, typically at early-stage startups or nonprofits, so read each listing carefully before applying.
What should an applied ai engineer internship resume include?
Lead with projects, not work history: two or three complete, documented projects naming the models, frameworks, and tools you used, with linked code or a public repository recruiters can actually open. Add relevant coursework, machine learning, systems programming, data engineering, and any competition results or research contributions. Keep everything to one page.
Are there remote applied ai engineer internships?
Yes. Remote and hybrid roles make up 33% of the applied ai engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they attract candidates from across the country, so apply early and filter by work type to see them before seats close.
What is an AI residency or research internship program?
AI residency and research internship programs are structured cohorts at larger technology companies designed to give candidates new to applied AI a full project cycle under close mentorship from research or engineering teams. They target recent graduates and career switchers, recruit early, and are competitive. Identify programs that match your background and apply in the first wave of their recruiting cycle.
Can international students get applied ai engineer internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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