About the Role

We are looking for a Full Stack Developer: Agentic Systems to build the product layer for AI-native workflows.

This role focuses on turning LLMs, agents, memory, and external tools into reliable, production-grade user experiences. You will design and ship systems where agents can plan, execute multi-step tasks, recover from failures, maintain context, and deliver consistent value across sessions.

Responsibilities
Build end-to-end product features across frontend, backend, and AI integrations
Design agent workflows that support planning, tool use, failure handling, and recovery
Integrate LLMs, memory, RAG systems, and external tools into production systems
Build real-time AI interactions using streaming, partial results, and low-latency responses
Improve reliability, observability, fallback logic, and production behavior of AI workflows
Collaborate with ML, backend, product, and design teams to ship features from concept to production
Iterate on AI workflows based on user behavior, evaluation results, and observed failure modes




Establish reusable patterns for building scalable agentic systems

Requirements
Robust full stack engineering experience across frontend and backend development
Solid understanding of system design, APIs, and production-grade architecture
Experience building with LLMs, RAG systems, agents, or AI-powered applications
Ability to work through ambiguity and make pragmatic engineering decisions
Robust ownership mindset with experience taking features from idea to production

Tech Stack & Skills

Core Engineering
Next.js, Node.js, Python
SQL and NoSQL databases
API design and backend architecture
Docker

AI & Agentic Systems
LLM integration using OpenAI, Anthropic, or open-source models
Agent workflows, tool use, memory, or RAG-based systems
Streaming responses and real-time AI interaction patterns
Agent frameworks: LangChain, LlamaIndex, CrewAI, AutoGen, or similar
Vector databases: Pine

📌 Full Stack Developer: Agentic Systems Chennai
🏢 MulticoreWare
📍 Chennai