Outmarket AI Software Engineer Intern 2026 | Remote Internship

July 6, 2026 Admin

Outmarket AI Software Engineer Intern 2026 | Remote Internship

Outmarket is hiring candidates for the AI Software Engineer Intern opportunity. This is a full-time remote internship available to candidates in India and the United States. The opportunity is suitable for students pursuing or candidates who have recently completed a Computer Science or related degree and have strong programming fundamentals in Python, JavaScript, or TypeScript.

The selected intern will work alongside the Engineering team to build real customer-facing Artificial Intelligence features. Unlike internships focused only on experimental prototypes, this opportunity involves contributing to production code and developing features used by real insurance customers. Candidates can gain exposure to Large Language Models, structured data, document processing, backend development, frontend development, SQL, React, cloud tooling, and data pipelines.

Quick Job Snapshot

Company Name	Outmarket
Role	AI Software Engineer Intern
Qualification	Computer Science or Related Degree
Experience	Students / Recent Graduates
Eligible Batch	Current Students & Recent Graduates
Salary / Stipend	Competitive Compensation (Company Mentioned)
Job Type	Full-Time Internship
Work Mode	Remote
Location	Remote India / Remote US

About Outmarket

Outmarket is an Artificial Intelligence platform developed for the insurance industry. The platform is trusted by more than 250 brokerages and is designed to automate important commercial insurance workflows involving complex documents and traditionally manual processes.

The company’s platform supports insurance-related processes such as quote comparisons, coverage gap analysis, tower analysis, policy review, and proposal generation. These AI-powered workflows are grounded in customer data and provide source-cited outputs designed to help users understand and trust generated results.

According to the information provided by the company, teams using the platform save approximately 12 to 15 hours per person every week and reduce errors by roughly 65%. The company also states that its infrastructure is SOC 2 Type II certified, uses a single-tenant approach, and customer data is not used to train AI models.

About the AI Software Engineer Intern Role

The AI Software Engineer Internship is a hands-on engineering opportunity focused on building real customer-facing AI features. Selected candidates will work alongside the engineering team and contribute production code that can reach actual insurance customers.

The role provides exposure across different parts of the technology stack, including AI workflows, backend systems, and frontend development. Interns will work with Large Language Models, structured data, document processing, and real customer data problems while helping transform technical ideas into shipped product features.

Key Responsibilities

Build features that use Large Language Models.
Develop and test AI-powered product functionality.
Work with structured data.
Contribute to document processing workflows.
Pair with engineers to take technical tasks from idea to deployment.
Write production code for customer-facing features.
Investigate real customer data problems.
Convert identified data problems into useful product improvements.
Work across AI workflows, backend systems, and frontend technologies.
Collaborate directly with experienced engineers and company founders.
Test features before they are shipped to customers.
Contribute to the development of an AI-native software product.

Eligibility Criteria

Candidates should be pursuing or should have recently completed a Computer Science or related degree.
Strong programming fundamentals are required.
Candidates should have knowledge of Python and/or JavaScript or TypeScript.
Applicants should have genuine curiosity about applied Artificial Intelligence.
Candidates should demonstrate a strong learning mindset.
Personal or academic projects involving LLMs or data pipelines are an advantage.
Exposure to React is an advantage.
Knowledge of SQL is beneficial.
Exposure to cloud tooling is considered an additional advantage.

Programming Skills Required

Candidates should have solid programming fundamentals in Python and/or JavaScript or TypeScript. Candidates preparing for the internship should understand variables, data types, conditional statements, loops, functions, classes, objects, exception handling, file operations, APIs, asynchronous programming basics, and debugging.

Since the role involves production software development, candidates should also understand Data Structures and Algorithms fundamentals. Important preparation areas include arrays, strings, dictionaries or hash maps, stacks, queues, linked lists, searching, sorting, recursion, and basic time and space complexity analysis.

Large Language Models and Applied AI

The internship involves building and testing features that use Large Language Models. Candidates should understand the basic concepts behind Generative AI and LLM-powered applications, including prompts, context windows, tokens, structured outputs, embeddings, semantic search, Retrieval-Augmented Generation, and model evaluation.

Since Outmarket works with complex insurance documents, candidates can benefit from understanding how AI applications process documents, extract structured information, compare information across multiple files, and generate responses grounded in source data.

Document Processing Skills

Document processing is an important part of the internship. Candidates should understand the basic workflow of reading documents, extracting information, cleaning text, structuring data, identifying relevant information, and passing processed content to downstream AI systems.

Basic familiarity with PDF processing, text extraction, chunking strategies, embeddings, metadata, semantic retrieval, structured output generation, and document-based question answering can help candidates prepare for technical discussions related to AI document applications.

Backend Development Knowledge

The selected intern can gain exposure to backend engineering while developing AI-powered features. Candidates should understand APIs, HTTP methods, JSON data, request-response architecture, status codes, authentication basics, database interactions, error handling, and application debugging.

Python candidates can prepare backend development fundamentals and understand how an AI model or LLM service can be connected with application logic, APIs, databases, and frontend applications. The ability to understand complete data flow across a software system can be useful for this internship.

Frontend Development Exposure

Exposure to React is listed as a bonus skill for this opportunity. Candidates interested in full-stack development should understand HTML, CSS, JavaScript, React components, props, state management basics, event handling, API integration, and rendering dynamic data.

Since the role offers opportunities to work across AI workflows, backend systems, and frontend development, candidates who can understand how an AI feature moves from user input through backend processing and finally returns results to the user interface may have an advantage.

SQL and Data Skills

SQL exposure is considered a bonus skill. Candidates should prepare relational database fundamentals, tables, primary keys, foreign keys, SELECT queries, WHERE conditions, joins, GROUP BY, aggregate functions, subqueries, and basic database design concepts.

The role also involves structured data and real customer data problems. Candidates should be comfortable understanding data formats, identifying inconsistencies, investigating data-related problems, and thinking about how data quality can affect software and AI system performance.

LLM and Data Pipeline Projects

Personal or academic projects involving LLMs or data pipelines are considered an advantage. Candidates can strengthen their profile by clearly presenting practical projects that demonstrate problem-solving ability and understanding of AI application development.

When explaining a project, candidates should be prepared to discuss the problem statement, technology stack, programming language, data source, processing workflow, model or API integration, database usage, testing approach, challenges faced, and final outcome. Candidates should understand their complete project rather than only describing the technologies used.

What Selected Interns Will Get

A high-impact internship role with ownership from the beginning.
Competitive compensation.
Meaningful equity as mentioned in the opportunity information.
Direct collaboration with founders.
Opportunity to work with real users.
Remote-first flexibility.
Experience building an AI-native product.
Opportunity to ship real features from the early stages of the internship.
Learning opportunities from experienced engineers.
Exposure to AI workflows, backend development, and frontend development.

Why This Internship Is Good for AI Enthusiasts

The Outmarket AI Software Engineer Internship provides candidates with an opportunity to work on practical Artificial Intelligence applications instead of only experimental projects. Interns can contribute to features involving LLMs, structured data, document processing, backend systems, frontend applications, and real customer data challenges.

The opportunity can be valuable for candidates interested in careers such as AI Software Engineer, Generative AI Engineer, LLM Engineer, Machine Learning Engineer, Backend Developer, Full Stack Developer, or Applied AI Engineer. Building production-level features and working with experienced engineers can help candidates understand how AI systems are designed, tested, shipped, and improved.

📘 Recommended Courses

Candidates preparing for this AI Software Engineer Internship should focus on programming, databases, and web development fundamentals. The following learning resources can support preparation for the technical skills relevant to the opportunity:

🎯 Interview Questions and Preparation

Candidates can prepare programming, database, SQL, web development, Data Structures and Algorithms, software engineering, and fresher technical interview questions using the interview preparation resources below:

🚀 Related Jobs & Opportunities

Candidates searching for similar Artificial Intelligence, Software Engineering, Generative AI, and remote internship opportunities can explore the latest job and internship updates below:

How to Apply for Outmarket AI Software Engineer Intern 2026

Interested and eligible candidates can apply for the Outmarket AI Software Engineer Intern opportunity through the official application page. Before applying, candidates should update their resume with relevant skills such as Python, JavaScript, TypeScript, LLMs, document processing, structured data, SQL, React, cloud tooling, APIs, and data pipelines.

Click the Apply Now button provided below.
Visit the official Outmarket internship application page.
Read the complete job description, responsibilities, and eligibility criteria carefully.
Enter accurate personal, educational, and contact information.
Add relevant programming skills such as Python, JavaScript, and TypeScript.
Highlight personal or academic projects involving LLMs, Artificial Intelligence, document processing, or data pipelines.
Add relevant exposure to React, SQL, APIs, databases, or cloud tooling.
Include GitHub repositories, portfolio projects, or other technical work if the application process provides an option.
Upload your latest resume and provide all other requested information.
Review the application carefully and submit it through the official portal.

🚀 Apply Now – Outmarket

Frequently Asked Questions (FAQs)

1. Who is eligible to apply for the Outmarket AI Software Engineer Internship?

Candidates who are pursuing or have recently completed a Computer Science or related degree can apply. Applicants should have solid programming fundamentals in Python and/or JavaScript or TypeScript, genuine curiosity about applied Artificial Intelligence, and a strong willingness to learn.

2. What skills are required for the Outmarket AI Software Engineer Intern role?

The primary requirements include strong programming fundamentals in Python and/or JavaScript or TypeScript. Personal or academic projects involving LLMs or data pipelines are considered an advantage, while exposure to React, SQL, and cloud tooling is also beneficial.

3. Is the Outmarket AI Software Engineer Internship remote?

Yes. The opportunity is listed as a remote, full-time internship with locations specified as Remote India and Remote US. Selected interns will collaborate with the engineering team while contributing to customer-facing AI features, backend systems, frontend applications, structured data workflows, and document processing solutions.

Conclusion

The Outmarket AI Software Engineer Internship is a suitable opportunity for students and recent graduates interested in building practical AI-powered software products. The role offers exposure to Large Language Models, structured data, document processing, backend development, frontend development, SQL, React, cloud tooling, and data pipelines.

Candidates with strong programming fundamentals and practical AI or software projects should prepare a focused technical resume highlighting Python, JavaScript, TypeScript, LLM applications, APIs, databases, and relevant academic or personal projects. Eligible candidates should review the requirements carefully and submit their application through the official Outmarket application portal.