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Job Description

Chief Technology Officer (CTO) AgriFinTech

Company Overview :

We are a rapidly scaling, award-winning AgriFinTech venture dedicated to revolutionizing the agricultural value chain for smallholder farmers across India. By combining deep-tech, remote sensing, and alternative underwriting data, we successfully bridge the gap between financial institutions and underserved rural communities.

Our flagship tech platforms and proprietary AI-powered credit scoring engines empower farmers, agricultural organizations, and lenders with real-time analytics. Backed by elite global innovation labs and institutional validation, our infrastructure drives global climate-smart agriculture and financial inclusion at scale.

Why Join Us :

- Blistering Growth : Experience a massive trajectory driven by an exceptional 87% CAGR in recent financial performance.

- Elite High-Performance Team : Lead a powerful, cross-functional family of 215+ professionals, including top-tier software engineers, data scientists, and agronomists.

- Global Validation : Work for an organization recognized globally out of a competitive pool of over 1,100+ applications worldwide for impact infrastructure.

- Real-World Impact : Your architectural decisions will directly impact the livelihood, credit access, and climate resilience of millions of farmers.

The Opportunity :

We are seeking a young, visionary, and high-talent Chief Technology Officer (CTO) to head our technology vertical. This is a critical leadership role for an ambitious engineering leader with 4 to 15 years of experience who has a proven track record of leading development teams and is ready for full executive ownership.

You will own the enterprise architecture, deploy advanced AI/LLM systems, and build out a world-class engineering team.

- Location : Hyderabad (Preferred). Open to top-tier candidates willing to relocate.

- Work Structure : 6 Days a week.

- Experience Required : 4 to 15 Years of core software engineering experience with mandatory team leadership/management exposure.

Key Responsibilities :

- Technical Leadership : Own the absolute end-to-end technology roadmap, core microservices architecture, and cloud deployment across our product ecosystem.

- Mandatory AI & LLM Integration : Architect, scale, and embed Generative AI and Large Language Models (LLMs) to build multilingual conversational interfaces, automated advisory systems, and intelligent automated bots.

- Spatial & Data Infrastructure : Oversee and scale our proprietary analytics stack utilizing advanced cloud platforms and spatial data pipelines.

- Team Management : Directly manage, mentor, and expand a talented engineering team, enforcing agile development methodologies and a high-performance tech culture.

- Scalable Data Ecosystem : Design robust, high-volume ingestion pipelines to smoothly process financial data streams, IoT telemetry, and automated crop metrics on Cloud networks (AWS/Azure).

Must-Have Skills & Requirements :

- Team Leadership (Mandatory) : A proven track record of managing, mentoring, and scaling engineering teams. You must be able to lead from the front, set code quality benchmarks, and manage sprint cycles.

- AI & LLM Mastery (Mandatory) : Deep, practical experience with AI integrations and deploying modern LLM frameworks into production environments (e.g., LangChain, LlamaIndex, vector databases, or open-source foundational models).

- Agile Execution : Exceptional interpersonal skills to communicate tech strategies clearly to business stakeholders and investors.

Good-to-Have Requirements :

- Remote Sensing / GIS / IoT : Background or strong working interest in Remote Sensing, geospatial tools, GIS analytics, or IoT telemetry architectures is highly preferred but not mandatory.

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