AI 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.
