Job Description: AI Engineer – AI Agents & Chatbots
Company: NetzHero (formerly RIU.ai)Location: Bangalore, IndiaEmployment Type: Full-TimeExperience: 2–6 Years
About NetzHero
NetzHero is a Bangalore-based climate-tech company working on carbon sequestration and ESG reporting technology. Our proprietary software is deployed in leading companies for automated carbon emission accounting and ESG reporting.
Role Overview
We are looking for an AI Engineer to build AI agents and chatbots that power NetzHero's platform. You will design and deploy intelligent agents that automate carbon accounting workflows, collect ESG data through conversational interfaces, generate reports, and perform complex multi-step tasks autonomously.
Key Responsibilities
- Build autonomous AI agents that perform multi-step tasks like emission calculations, data collection, report generation, and ESG analysis.
- Develop agentic workflows using frameworks like LangChain, LangGraph, CrewAI, or similar.
- Build tool-using agents that interact with APIs, databases, documents, and external services.
- Develop chatbots for carbon data collection, ESG questionnaire completion, and user queries.
- Build RAG pipelines for agents to reason over emission factors, regulatory standards, and ESG frameworks.
- Fine-tune and optimise LLMs for domain-specific carbon and ESG tasks.
- Integrate AI agents and chatbots into the product backend through APIs.
- Implement guardrails and validation layers to ensure accuracy of AI outputs.
Qualifications
- 2–6 years of experience in AI/ML engineering focused on LLM applications, chatbots, or AI agents.
- B.Tech/M.Tech/MS in Computer Science, AI, Data Science, or related field.
- Strong proficiency in Python.
- Hands-on experience with agentic frameworks (LangChain, LangGraph, CrewAI, or similar).
- Strong working knowledge of LLMs — prompt engineering, fine-tuning, RAG, function calling, and tool use.
- Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS).
- Experience deploying LLM-powered applications in production.
- Familiarity with cloud platforms (AWS/GCP/Azure) and Docker.
Good to Have
- Experience with multi-agent systems.
- NLP experience — document parsing, text extraction, summarisation.
- Exposure to carbon accounting or ESG domain.
- Experience with open-source LLMs and self-hosted deployment.
- MLOps knowledge.
What We Offer
- Build AI that directly powers climate action at scale.
- Work on cutting-edge agentic AI in a meaningful domain.
- Fast-growing startup with proprietary software in leading companies.
- Competitive compensation and growth opportunities.
Skills Required
- 2-6 years of experience in AI/ML engineering focused on LLM applications, chatbots, or AI agents
- B.Tech, M.Tech, or MS in Computer Science, AI, Data Science, or a related field
- Strong proficiency in Python
- Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, or similar
- Working knowledge of LLMs, prompt engineering, fine-tuning, RAG, function calling, and tool use
- Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS
- Experience deploying LLM-powered applications in production
- Familiarity with AWS, GCP, or Azure and Docker
- Experience with multi-agent systems
- NLP experience including document parsing, text extraction, or summarization
- Exposure to carbon accounting or ESG
- Experience with open-source LLMs and self-hosted deployment
- MLOps knowledge
What We Do
TalkingLands is a real estate intelligence and transaction platform focused on spatial intelligence and property data. It helps buyers discover and book properties while enabling users to analyze locations through more than 150 data layers. The company uses AI-powered mapping technology to support property discovery, exploration, management, and broader real estate decision-making for industry participants.
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