The Role
Build scalable backend systems, microservices, APIs, and data pipelines while integrating LLM-powered features and agentic workflows. Develop RAG systems using vector databases and embeddings, implement tool-calling and agent memory, and create evaluation frameworks for model quality, cost, and latency. The role also involves system optimization, testing, experimentation, and collaboration with product and frontend teams.
Summary Generated by Built In
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 Do
Backend 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
- Build data pipelines for ingestion, processing, and indexing
Evals, Experimentation & Optimization
Build and run LLM evaluation frameworks (automated + human-in-loop)
Track experiments with prompt versioning, logging, and regression analysis
- Optimize prompts for accuracy, cost, and latency
- Document and publish learnings via dashboards, reports, or notebooks
Core Requirements
2+ years of backend development experience
Strong proficiency in Python or GoLang
Solid understanding of Data Structures & Algorithms (DSA)
Experience with system design, APIs, and microservices architecture
Hands-on experience with SQL/NoSQL databases and query optimization
- Experience building with LLM APIs (OpenAI, Anthropic, Gemini, or open-source models)
- Working knowledge of:
- Vector databases & embedding pipelines
- At least one AI/agent framework (LangChain, LangGraph, CrewAI, AutoGen, etc.)
- Familiarity with:
- Messaging systems (queues/pub-sub)
- REST APIs / RPC frameworks
- Containerization (Docker, etc.)
What We’re Looking For
Strong problem-solving and analytical thinking
Ability to own systems end-to-end
Comfortable working in a fast-paced startup environment
- Curiosity to explore and implement cutting-edge AI systems
- Strong collaboration mindset with product and engineering teams
- Bias for action and continuous learning
Insurance Benefits
- Medical Insurance
- Accidental Insurance
Parental Support
- Maternity Benefit
- Paternity Benefit Program
Mobility Benefits
- Relocation Benefits
- Transfer Support Policy
Retirement Benefits
- Employee PF Contribution
- Flexible PF Contribution
- Gratuity
- NPS
- Leave Encashment
Other Benefits
- Salary Advance Policy
Skills Required
- 2+ years of backend development experience
- Strong proficiency in Python or Go
- Strong understanding of data structures and algorithms
- Experience with system design, APIs, and microservices architecture
- Hands-on experience with SQL or NoSQL databases and query optimization
- Experience building with LLM APIs such as OpenAI, Anthropic, Gemini, or open-source models
- Working knowledge of vector databases and embedding pipelines
- Experience with at least one AI or agent framework, such as LangChain, LangGraph, CrewAI, or AutoGen
- Familiarity with messaging systems, queues, or pub/sub
- Familiarity with REST APIs or RPC frameworks
- Familiarity with containerization tools such as Docker
- Strong problem-solving and analytical thinking
- Ability to own systems end-to-end
- Strong collaboration skills with product and engineering teams
- Curiosity about cutting-edge AI systems and continuous learning
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
A digitally enabled and connected healthcare ecosystem for better health management. - Manage Your Health Records - Monitor Your Health Vitals - Easy To Use - Private And Secured - Govt. of India Approved #prioritizehealth
