Database developer volunteer roles

Unify is building a social impact platform that helps get direct, practical support to people who need it most — with dignity, transparency, and real-world usability at the core.

We’re looking for a Senior Developer / Tech Lead (Volunteer) to guide the build, unblock the team, and help us ship a solid, scalable product. This is a light commitment (2–5 hours per week), but a high-leverage role: you’ll be working closely alongside the founders and our Product Manager.

What you’ll do (2–5 hrs/week)

• Lead engineering direction: keep the build clean, pragmatic, and shippable.

• Review PRs and raise code quality (architecture, security, performance, maintainability).

• Help prioritise technical work with the founders + Product Manager.

• Support and mentor a small volunteer/dev team (light-touch guidance, not heavy management).

• Set up or improve engineering foundations (CI/CD, environments, observability, release process).

• Identify risk early (security, data handling, scalability) and propose solutions.

What we’re building

• A production product with real users and real-world constraints.

• A platform where trust, safety, and reliability matter as much as features.

Tech stack

MERN stack

• MongoDB (database)

• Express.js (backend framework)

• React (frontend)

• Node.js (runtime / API layer)

What we’re looking for

• Senior-level software engineering experience (ideally with leading small teams or acting as tech lead).

• Strong product sense: you can balance “build it right” with “ship it”.

• Comfortable in ambiguous, early-stage environments.

• Solid judgement around security, data handling, and best practices.

• A collaborative communicator who can keep things calm and moving.

Nice to have (not required)

• Experience with marketplaces, payments, identity/verification flows, or credit/voucher systems.

• Experience setting up CI/CD, testing strategy, and deployment pipelines for MERN apps.

• Previous work in startups, charities, civic tech, or social impact.

Why join (and what you’ll get)

• Real ownership and influence — your decisions shape the product.

• Work directly with the founders + Product Manager.

• A mission-led build where shipping matters and the work is tangible.

• Flexibility: async-first, lightweight weekly rhythm.

Time + format

• Volunteer: 2–5 hours per week

• Remote / hybrid (where relevant)

• Async-first with a short weekly check-in

Interested?
Send a short note with your background + links (GitHub/LinkedIn/portfolio) and we’ll set up a quick chat

Unibaio

We enhance crop protection efficiency through biodegradable chitosan microparticles, reducing chemical use while maintaining yields.

Data Scientist (Chemistry-focused)

At Unibaio, we are building a biodegradable nano-delivery platform that enhances how agrochemicals interact with plants — allowing farmers to reduce chemical use while maintaining or improving yields (Yes! less chemicals on our food!).
Now, we’re taking a step further.
We’re exploring how AI can accelerate formulation discovery, helping us identify which agrochemicals are most likely to perform well with our technology — before running costly and time-consuming field trials.
To do this, we’ll be competing in the final round of CodeLaunch, where we’ll build a working MVP in just 48 hours alongside a team of developers.

�� What we’re building

A lightweight AI-powered tool that:

• Predicts key physicochemical properties of agrochemicals
• Compares candidates against our internal dataset of successful/unsuccessful combinations
• Classifies them into “Closer to YES” / “Closer to NO”
• (Optional) Explains predictions using LLMs

This is not about replacing experiments — it’s about prioritizing what to test next, dramatically accelerating R&D cycles.

�� Who we’re looking for

A Data Scientist with strong chemistry intuition, ideally with experience in:

• Cheminformatics (RDKit, DeepChem, molecular descriptors, fingerprints)
• Working with chemical datasets (PubChem or similar)
• Similarity models (Tanimoto, clustering, k-NN, Random Forest, etc.)
• Translating scientific problems into simple, testable models

Bonus if you:

• Have worked on small datasets / low-data ML problems
• Are comfortable building scrappy MVPs fast
• Are excited about applying AI to real-world, high-impact problems

⚡ What’s the opportunity

• Join us during the CodeLaunch finals hackathon (48h sprint)
• Work directly with founders and a dev team on a real product with real data
• Be part of a project at the intersection of AI, chemistry, and climate impact

�� And if there’s a good fit, this can evolve into an ongoing collaboration to build this into a core capability at Unibaio.

�� Why this matters

Agriculture depends heavily on chemical inputs — but most of them are inefficiently used.
At Unibaio, we’re already showing that we can reduce usage by up to 50% in real-world conditions.
With AI, we aim to scale that impact faster, unlocking better combinations, faster validation, and ultimately reducing environmental impact at global scale.

Minimum Hours per Week:

4-6 hours per week

Duration:

1-2 months