Backend Developer
- Compensation
- Not disclosed
- Location
- Bengaluru, KA, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Backend
- Posted
Skills
Must have
- Curiosity to explore and implement cutting-edge AI systems
- Strong collaboration mindset with product and engineering teams
- Bias for action and continuous learning
Full description
About Eka.Care
Eka.Care is building the healthcare infrastructure layer for India — a GenAI-powered platform trusted by millions of patients, doctors, and healthcare providers.
From EMRs to intelligent clinical workflows, Eka operates at the intersection of healthcare delivery and AI innovation. Hundreds of clinics, hospitals, and health platforms rely on Eka to power real-world healthcare operations.
Our next frontier is conversational AI agents — systems that can triage patients, manage appointments, and integrate seamlessly into healthcare workflows across WhatsApp, web, and mobile platforms. These are production-grade systems handling real users and real clinical scenarios — not prototypes.
About the Role
We are looking for a Backend Developer who can bridge core backend engineering with modern AI systems. This role goes beyond traditional backend work — you’ll design scalable systems while also building and integrating LLM-powered pipelines, agentic workflows, and data-driven AI services.
If you’ve built backend systems and experimented with LLMs, RAG pipelines, or agent frameworks — this role is built for you.
What You’ll DoBackend Engineering
Take end-to-end ownership of backend systems and services
Design, develop, and maintain scalable, high-performance architectures
Build and manage microservices with clean APIs and strong system design principles
- Optimize applications for performance, scalability, and reliability
- Write clean, maintainable, and well-tested code (unit + integration tests)
- Collaborate with product and frontend teams to translate requirements into technical solutions
AI & Agent Systems
Build and integrate LLM-powered features and services into backend systems
Design agentic workflows using frameworks like LangChain, LangGraph, CrewAI, or custom orchestration
- Implement tool-calling, memory handling, and reasoning loops for AI agents
- Debug and trace model/agent behavior to improve reliability and outputs
RAG & Data Pipelines
Develop Retrieval-Augmented Generation (RAG) pipelines end-to-end
Work with vector databases, embeddings, and retrieval strategies
Improve system performance using recall/precision and retrieval quality metrics