Backend Developer

Backend Engineer – AI Systems & Agentic Platforms

About Deccan AI Deccan AI is a high-growth, venture-backed AI model training and evaluation company headquartered in the Bay Area. Founded by alumni of IIT Bombay, IIM Ahmedabad, and ex-Google leaders, we partner with some of the world’s most advanced AI labs and enterprises to build, train, and scale cutting-edge AI systems. Backed by

$25M in Series A funding , Deccan AI operates at the forefront of Generative AI, working on large-scale model evaluation, agentic workflows, and real-world AI deployment. Our mission is to accelerate the development of reliable, scalable, and production-ready AI systems.

Role Overview We are looking for a

Backend Engineer with strong exposure to

Generative AI and Agentic systems to join our fast-moving team. This is not a traditional backend role you will work on building AI-native platforms, designing distributed systems, and owning end-to-end deployment in a zero-hierarchy environment. You will have full ownership of systems you build, from architecture design to production deployment.

Key Responsibilities 1. Scalable System Design

• Design and build highly scalable backend systems and APIs.
• Architect distributed systems capable of handling high-throughput workloads.
• Write clean, maintainable, and efficient code in

Java, Golang, or Python .

2. AI & Agentic System Development

• Build and integrate

Generative AI applications using tools like

LangChain and LangGraph .

• Develop and deploy

AI Agents and Agentic workflows .

• Work on ML-powered features such as

semantic search, recommendation systems, and fraud detection .

3. End-to-End Ownership

• Own the full development lifecycle from design to deployment and monitoring.
• Manage deployments using

AWS/GCP ,

Kubernetes , and

CI/CD pipelines .

• Ensure system reliability, observability, and performance optimization.

4. Database & Data Systems

• Work across multiple data systems including:
• Relational databases (

Postgres, MySQL )

• NoSQL databases (

MongoDB )

• Graph Databases
• Vector Databases for AI applications
• Design efficient data models and optimize query performance.

5. Platform & Infrastructure

• Build core platform services such as

payments, onboarding, and user systems .

• Integrate backend systems with AI pipelines and model-serving infrastructure.
• Work with emerging protocols such as

MCP (Model Context Protocol) .

What We’re Looking For

• Strong backend engineering experience (3–8 years preferred).
• Hands-on experience with

Generative AI / LLM-based systems .

• Familiarity with:
• LangChain / LangGraph
• AI Agents / Agentic AI frameworks
• Solid understanding of:
• Distributed systems
• API design
• System scalability
• Experience with

cloud platforms (AWS/GCP) and containerization (

Kubernetes ).

• Strong database fundamentals across SQL, NoSQL, and modern data stores.
• Ability to work in

fast-paced, ambiguous environments with rapid iteration cycles.

What Makes This Role Different

• Zero hierarchy : Full ownership and autonomy over your work.
• AI-first engineering : Work at the cutting edge of Generative AI and agentic systems.
• High impact : Build systems that directly power real-world AI applications.
• Fast execution : Same-day iterations and rapid product cycles.
• Strong founding team : Learn from experienced operators and researchers.

Why Join Deccan AI? At Deccan AI, you won’t just build backend systems — you’ll build the infrastructure powering the next generation of AI applications. If you enjoy solving complex engineering problems, working with cutting-edge AI technologies, and owning systems end-to-end, this role is built for you.