Backend Developer / Backend Engineer

Job Profile: AI Backend & Agentic AI Developer
Location: Punjabi Bagh, Delhi
Salary: Negotiable based on experience and skill set.

This role requires someone who can work across backend architecture, AI integrations, databases, APIs and deployment, and who is comfortable taking AI solutions from development through production.

Key Responsibilities

• Design, develop and maintain scalable backend APIs, microservices and server-side applications.

• Build and integrate AI-powered applications using LLMs, RAG and Agentic AI frameworks.

• Develop intelligent AI agents, multi-agent workflows and automated business processes.

• Integrate LLMs, vector databases, external APIs, third-party tools and other AI services.

• Design and implement secure, reliable and scalable database architectures.

• Develop REST APIs, asynchronous services and real-time communication systems using WebSockets/SSE where required.

• Implement authentication, authorization, API security, rate limiting and secure data-handling practices.

• Build RAG pipelines including document processing, embeddings, retrieval and context management.

• Implement function/tool calling and enable AI systems to interact with external tools and services.

• Optimise backend and AI systems for performance, reliability, latency, scalability and cost.

• Develop background jobs, task queues and asynchronous workflows.

• Containerise and deploy applications using Docker and CI/CD pipelines.

• Monitor, troubleshoot and maintain production applications and backend services.

• Work with cross-functional teams to understand requirements and translate them into reliable technical solutions.

• Stay updated with emerging developments in Agentic AI, LLMs, AI orchestration and backend technologies.

Preferred Skills

• Experience with AWS, Azure or GCP.

• Kubernetes and container orchestration.

• Kafka, RabbitMQ or other message-driven systems.

• Experience with MCP (Model Context Protocol) and MCP servers/tools.

• LangSmith or similar tools for LLM tracing, debugging and evaluation.

• OpenTelemetry and distributed tracing.

• Prometheus/Grafana or similar monitoring and observability tools.

• Experience designing and maintaining microservices architectures.

• Understanding of event-driven architecture.

• Experience with LLM evaluation, including AI quality, latency, cost and reliability monitoring.

• Experience with fine-tuning / LoRA of open-source LLMs.

• It is a Full Time IT / Software / Data Analyst job for candidates with 1 - 6 years of experience.