Full Stack Developer

About the Role

AI-powered Carbon Economy

Youll work closely with product strategists, AI researchers, and blockchain engineers to deliver applications that are intuitive, intelligent, and mission-critical for the evolving carbon economy.

Key Responsibilities

• Architect and develop full-stack platforms for the energy and carbon management domain combining real-time data, AI workflows, and smart analytics.
• Design and maintain performant, scalable

  front-end

  (React, Vue, or equivalent) and

  back-end

  (Python, Node.js, or Go) systems.
• Lead the integration of

  Generative AI

  capabilities using frameworks such as

  Langchain

  ,

  LangGraph

  ,

  LangTools

  , and

  Cursor

  .
• Build

  RAG (Retrieval-Augmented Generation)

  pipelines using

  vector databases

  (e.g., Pinecone, Weaviate, Chroma, FAISS) to enhance AI decision support.
• Implement

  Agentic AI architectures

  that allow for autonomous decision-making and multi-step reasoning.
• Collaborate with blockchain developers to bridge AI interfaces with carbon credit registries, exchanges, and digital asset systems.
• Deploy production-grade APIs and AI-driven interfaces that enhance transparency, pricing, and validation across carbon offset transactions.
• Work cross-functionally with sustainability experts and quant teams to translate market needs into usable, impactful applications.
• Contribute to system architecture, CI/CD, observability, and security compliance for AI-driven carbon platforms.

Required Qualifications

• 3-4+ years of full stack development experience

  , with proven track record deploying

  customer-facing products

  in production.
• Proficiency with

  JavaScript/TypeScript

  ,

  Python

  , and modern frameworks (React, FastAPI, Node.js).
• Hands-on experience

  embedding GenAI capabilities

  in real-world applications (e.g., GPT-4- powered agents, summarizers, auto-taggers).
• Strong understanding and implementation of

  RAG pipelines

  and

  vector database systems

  .
• Experience building

  autonomous agent workflows

  with tools like

  Langchain

  ,

  LangGraph

  , or

• LangTools

  .
• Comfort with API-first architecture, microservices, and cloud deployments (AWS, GCP, or
• Azure).
• Familiarity with energy, carbon, or climate-tech ecosystems is a plus.

Preferred Qualifications

• Experience working in

  energy trading

  ,

  climate finance

  , or

  carbon markets

  .
• Experience with

  blockchain

  ,

  smart contracts

  ,

  token generation

  , or

  decentralized asset

• registries

  .
• Understanding of tokenized carbon credits or blockchain-based MRV (Monitoring, Reporting,
• Verification) solutions.
• Exposure to

  prompt engineering

  ,

  embedding optimization

  , and AI observability.
• Background in ESG platforms, sustainability analytics, or digital MRV tools.
• Experience with geospatial data visualization or time-series forecasting in carbon and energy
• applications.
• Contributions to open-source AI or climate-tech communities.