Fandoro is building technology for responsible businesses and investors.
Our platform brings together ESG data, sustainability frameworks, climate intelligence, risk assessment and workflows to help businesses and capital allocators make better decisions.
We are now building the next layer of Fandoro: a proprietary ESG Intelligence Engine that combines our domain knowledge and data with AI, machine learning and LLM technologies.
This is an opportunity to join Fandoro at an early stage of that journey and play a foundational role in shaping the technology.
The Role
We are looking for a hands-on AI & Data Lead who can architect and build Fandoro’s AI and data layer.
This is not a traditional Data Scientist role and it is not simply an “LLM Engineer” role.
We are looking for someone who can work across:
Data → ML → ESG intelligence → LLM/RAG → AI agents → APIs → production systems
You will work closely with the Founder/CEO and the ESG domain team to convert Fandoro’s proprietary ESG knowledge and data into scalable intelligence products.
What you will own
Design Fandoro’s ESG data and intelligence architecture
Build the foundations of our proprietary ESG Intelligence Engine
Develop ESG scoring, risk and benchmarking models
Design data pipelines for structured and unstructured ESG data
Build RAG and knowledge systems over ESG regulations, frameworks, methodologies and company data
Work with embeddings, vector databases and knowledge graphs where appropriate
Build and evaluate LLM-powered applications and agents
Develop AI workflows for use cases such as ESG due diligence, BRSR,
materiality, climate risk and ESG remediation
Establish model evaluation, accuracy and hallucination-control mechanisms
Design APIs and services that expose AI capabilities to the Fandoro platform
Decide when to use foundation models, fine-tuning, RAG or traditional ML
Establish good practices around AI security, governance and responsible AI
Work with the engineering team to take prototypes into production
Build systems that can progressively learn from Fandoro’s proprietary data The technology stack may include
You do not need to know every technology listed above.
What matters is that you are a robust builder who can learn quickly and make good architectural decisions.
What we’re looking for
5–10 years of strong software/data/ML experience
Strong Python and SQL
Hands-on experience building production ML or AI systems
Strong understanding of LLMs and contemporary GenAI architectures
Experience with RAG, embeddings and vector databases
Experience designing data pipelines and data models
Strong understanding of APIs and backend systems
Ability to take an idea from problem → architecture → prototype → production
Strong engineering fundamentals
Ability to work independently with minimal supervision
Curiosity and willingness to understand ESG/business problems deeply A major plus
Experience with any of the following:
ESG / sustainability
Climate / climate risk
Financial services
Risk modelling
Knowledge graphs
Enterprise SaaS
Responsible AI
Regulatory intelligence
Document intelligence
B2B AI products
What this role is NOT
This role is not for someone who:
Only wants to work on research
Only builds notebooks and models without productionising them
Has only worked with prompt engineering
Expects a large engineering team around them
Needs detailed specifications for every task
We are building a small, high-performance technology team.
You will have significant ownership.
Why join Fandoro?
You will have the opportunity to build an AI system around a domain that is becoming increasingly important globally:
responsible business + capital + sustainability + AI.
You will work directly with the founder and ESG experts and have the opportunity to shape:
The data architecture The ESG intelligence methodology The AI architecture The product roadmap The technology stack
Fandoro’s long-term technology/IP moat
Compensation
₹25–35 LPA, depending on experience and capability.
For an exceptional candidate, we are open to discussing a higher package.
How to apply
Please send
- Your CV/LinkedIn profile
- 2–3 examples of AI/data products you have actually built
- GitHub or relevant work, if available
- A short note answering:
“If you were building an ESG Intelligence Engine for investors and businesses, what would you build first and why?”
We care more about what you have built and how you think than the number of certifications on your CV.
📌 AI & Data Lead — Founding Technology Team (Delhi)
🏢 Fandoro Technologies
📍 Delhi
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