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Dumroo AI

Junior-Midlevel AI/ML Developer – Dumroo.ai AI Ecosystem for Education

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

This is a remote position.

Job Title: Junior to Mid-Level Software Developer

Location: Remote (Must be available during U.S. Eastern Time: 8:00 AM – 5:00 PM EST)

Type: Full-Time | Remote

Reports to: Lead Engineer / Head of Product & Technology

About Dumroo.ai

Dumroo.ai is revolutionizing education with an AI-powered ecosystem that transcends traditional boundaries. Our intelligent platform unites teachers, students, administrators, and parents, empowering each stakeholder to achieve their best while fostering transparency and engagement. We are looking for a talentedJunior-Midlevel Developerto join our growing team and contribute to the development of our cutting-edge educational technology solutions.

Position OverviewAs a Junior-Midlevel Developer at Dumroo.ai, you will be responsible for building, maintaining, and enhancing our AI-powered platform. You will collaborate with cross-functional teams to develop innovative features, ensure high performance, and contribute to the overall success of our technology stack.

Key Responsibilities

Collaborate with the engineering and product teams to build, test, and deploy software components and APIs.

Work on data pipelines, integrations, and backend systems powering our AI-driven workflows.

Contribute to development of features using machine learning models and LLMs.

Write clean, maintainable, and well-documented code.

Participate in code reviews, sprint planning, and daily stand-ups.

Work closely with DevOps and QA teams to ensure high system performance and reliability.

Requirements

Required Qualifications

2–5 years of hands-on software development experience.

Proficiency in JavaScript/TypeScript, Python, or Node.js.

Experience working with databases such as PostgreSQL, MongoDB, or Redis.

Familiarity with data engineering concepts: ETL pipelines, data transformation, API integration.

Exposure to machine learning/AI concepts, especially LLMs, NLP, or predictive analytics.

Experience with Git and Agile workflows.

Excellent communication and collaboration skills.

Must be available to work in U.S. Eastern Time Zone (8 AM – 5 PM EST).

Preferred Qualifications

Experience with cloud platforms (AWS, GCP, or Azure).

Knowledge of AI tools like OpenAI, LangChain, or HuggingFace.

Familiarity with REST APIs, GraphQL, or WebSocket.

Startup or edtech experience is a plus.

Benefits

What We Offer

Opportunity to work on impactful technology that improves education.

A collaborative and inclusive remote work environment.

Learning opportunities in AI, product development, and scaling systems.

Competitive compensation with potential for equity for the right candidate.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

Ready for your next step?Apply on the official website
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