Job Description
Backend Developer (Project-Based Contract)
About Dreamverse Learning Lab :
Young Indians today are dissatisfied with careers with low pay, limited growth, and poor alignment with personal interestsโbut fear the failures and social judgment surrounding entrepreneurship, leaving them without the skills or confidence to create their own opportunities in a fast-changing economy. Dreamverse Learning Lab addresses this gap by empowering youth (18โ29 years) to turn their ideas, hobbies, and talents into sustainable opportunities through
SparksDream โan impact-driven, gamified learning experience that blends technology with real-world context to build future-ready skills for emerging markets.
About Sparks Dream :
SparksDream App
is a community-first entrepreneurship platform designed to help youth (18โ29 years) turn ideas, hobbies, and talents into real market opportunities. Built for non-linear, real-world journeys, the app blends technology, play, and peer learning to build future-ready skills while making learning visible, social, and accountable. At its core is the
award-winning 4D Framework (Dream, Do, Deal, Drive) recognized by the World Economic Forum and Deloitte,
guiding users from self-discovery to execution and growth. Through bite-sized, gamified modules, users learn by doingโmapping ideas to business opportunities, experimenting with value-based pricing through interactive games, running live campaigns, and validating with real customers.
Look us up: https://www.dreamverselab.com/
https://www.instagram.com/sparksdream.verse/
Roles and Responsibilities :
After successfully piloting SparksDream Skills Playbooks, we are now automating our insights and scaling outcomes through a mobile app. We are seeking a Backend Developer to co-build the MVP of the SparksDream App, translating behavioral insights into a usable, lovable, and scalable MVP, working directly with the founders. This is a hands-on role for someone who thrives in early-stage product development, working closely with existing system architecture and application logic to build robust backend services.
Build Core Product Capabilities:
a. Learn-on-the-Go Modules
Build micro-sized, gamified learning experiences designed for consistent micro-practice and continuous progress.
b. Conversational Spaces
Build safe, structured, non-overwhelming peer-group spaces for expression, reflection, and sharing.
Implement controlled matching logic for peer cohorts, accountability pairs, and expert mentors.
c. AI-Driven Personalization
Operationalize persona mapping to automate context setting for each learner.
Integrate LLM-based recommendation and guidance systems that situate frameworks in a business context.
d. Visible Learning Growth
Build low-friction, incremental progress capture.
Implement visible progress trackers that reinforce repeat usage and habit formation.
Connect learning activities to application metrics, enabling measurable business-oriented growth built upon the given logic framework.
Collaboration:
Work with product design and tech teams to ensure pedagogical intent is reflected in the product.
Convert insights shared by the UX team into actionable technical improvements.
Collaborate with founders for rapid experimentation and evidence-based iteration.
Feedback & Iteration:
Work with rapid cycles of prototyping โ testing โ analysis โ refinement.
Identify, track, and fix backend issues, including bugs related to APIs, databases, server logic, performance, security, and system reliability across environments.
Prioritize shipping over perfection; evolve the MVP into a validated POC.
Quality, Performance & Scalability
Own code quality, testing, reliability, and security standards.
Build for scaleโensuring that contextual personalization, peer matching, and data flows remain performant with growth.
Maintain comprehensive documentation and support smooth handovers as the team grows.
You are a good fit as an AI/Backend Full-Stack Engineer if you:
Have 3+ years of total engineering experience, including 2+ years working with AI/LLMs and 1+ year with vector databases or embedding-based retrieval systems.
Can call LLM APIs with structured context injection, pulling user data, goals, and past sessions.
Can build prompt orchestration layers for SparksDream AI conversational support.
Can manage conversation memory using vector databases
Can create servers with WebSockets (or equivalents) supporting multi-user rooms, presence/state tracking, user connections & disconnections, message deliveries & retries
Can build REST + GraphQL endpoints that power modules, community flows, and analytics.
Can build an expert indexing + skill tagging system for mentor matching, discovery, and recommendations.
Can create pipelines that read user goals, behaviour logs, and workout history.
Can generate personalized recommendations using rule-based + AI hybrid logic.
Can ensure efficient query patterns, caching, and pagination for large feeds.
Can manage cron jobs, task queues, and background processes for daily/weekly data processing.
Milestones and Deliverables:
Milestone 1 โ Backend Setup
Duration:
~80 hours
Tranche 1:
25% of the total amount
Scope:
Backend infra, core schema, LLM context framework, core REST endpoints, MVP conversation memory, WebSocket boilerplate.
Milestone 2 โ Core Features & Analytics Foundations
Duration:
~300 hours
Tranche 2:
50% of the total amount
Scope:
Prompt orchestration, embeddings pipeline, expert indexing, presence engine, GraphQL layer, progress pipelines, RAG refinement, mentor/peer matching, analytics endpoints, cron jobs, query optimization, analytics tuning.
Milestone 3 โ Stabilization, Security & Pilot Readiness
Duration:
~80 hours
Tranche 3:
25% of the total amount
Scope:
Load testing, security hardening, logging & monitoring, final AI tuning + cold start, security/privacy checks, internal support tooling.
Location: Remote with flexible work hours
Why Join Us?
Youโll be joining a team that combines behavioral science, education, community architecture, and emerging technology. You will enjoy working with us if you are looking for:
Impact-Driven Workโ Enable young adults to engage in and gain real-world skills.
Creative Freedomโ Experiment with gamified, new learning models.
Interdisciplinary Teamโ Work with designers, educators, and entrepreneurs who share your passion.
Foundational Ownership- Your contributions will shape the earliest and most meaningful version of SparksDream.
If creating scalable, human-centred technology excites you, this is your playground!
Compensation: Commensurate with skill and experience as per market standards.
If this excites you and you believe your skills match the role, send your resume to us here:
Email:
info@dreamverselab.com