Description review

Junior-Midlevel Full Stack Developer – Dumroo.ai AI Ecosystem for Education

Dumroo AI · India · back to the listing

HR standards

53/100

needs work

Title ↔ description

87/100

strong

Reads as

Full-Stack Engineer

100% confident

How others title the same work

Large employers

  • Software Development Engineer, Influencer Management Adobe
  • Senior Software Engineer (EAA) Coinbase
  • Senior Software Engineer, Full Stack (Coinbase Advisor - Agentic Trading) Coinbase
  • Senior Software Engineer (Typescript), AI Clients: Duo CLI GitLab
  • Grafana Labs | Senior/Staff Software Engineer - AI / Agentic apps | 100% Remote (US + Canada) | Grafana Labs

Startups

  • Founding Software Engineer Aglide
  • Product Engineer (Founding team) Aglide
  • AiMi | Full Stack AI Engineer | Remote(Everywhere) | Full-time AiMi
  • Staff Software Engineer AiPrise
  • ALBERT | REMOTE ALMOST ANYWHERE IN THE WORLD | Hiring principal and distinguished ALBERT

What the listing never says

  • 22 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Job Title: Junior to Mid-Level Full Stack 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 years1 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

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 16 points (from 69 before penalties). Reviewed 2 Oct 2026.