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. |