Senior Agentic Full-Stack Engineer

JMD Technologies Inc.; Dadri; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

JMD Technologies Inc. is seeking a Senior Agentic Full-Stack Engineer to design and deliver production-grade Agentic AI, LLM, and RAG solutions end-to-end. You will build AI agents, LLM-powered applications, and intelligent workflows that integrate with enterprise systems and data sources.

Responsibilities span backend services, APIs, microservices, data pipelines, and UI work using React or Angular. You will implement tool calling, planning, retrieval, state, and memories, plus testing, CI/CD,

Qualifications

• 7+ years of software/AI/ML/application engineering experience.
• Hands-on production experience with Agentic AI, LLM, RAG, AI Assistants, or AI-enabled applications.
• Strong programming skills in Python, Java, TypeScript, Node.js.
• Strong understanding of APIs, microservices, distributed systems, asynchronous processing, and automated testing.
• Experience with prompt engineering, tool calling, embeddings, retrieval, context engineering, state, and memory.
• Experience with Docker, cloud, CI/CD, Git, secrets management, and monitoring.
• Strong debugging and problem-solving skills.

Responsibilities

• Build and deploy AI agents, LLM-powered apps, RAG solutions, and intelligent workflows.
• Develop backend services, APIs, microservices, event handlers, data pipelines, and workflow components.
• Implement tool calling, planning, retrieval, state, memory, outputs, approvals, and exception handling.
• Design RAG pipelines including ingestion, embeddings, retrieval, grounding, citations, and access filtering.
• Integrate AI solutions with enterprise apps, knowledge bases, APIs, databases, search platforms, and model endpoints.
• Develop UI/UX using React, Angular, or equivalent frameworks.
• Build unit, integration, security, and end-to-end tests.
• Implement logging, tracing, monitoring, token/cost telemetry, and AI evaluation.
• Deploy solutions using CI/CD, Docker/Kubernetes, cloud platforms, and Git-based workflows.
• Troubleshoot complex issues across models, prompts, tools, data, APIs, code, and infrastructure.

Skills

Agentic AI

LLM-powered apps

RAG

Python

Java

TypeScript

Node.js

APIs

Distributed systems

Asynchronous processing

Automated testing

Debugging

Tools

React

Angular

Docker

Kubernetes

Git

LangGraph

LangChain

LlamaIndex

CrewAI

AutoGen

Semantic Kernel

Job description

Hiring: Senior Agentic Full-Stack Engineer

We are looking for a Senior Agentic Full-Stack Engineer to build and deliver production-grade Agentic AI, LLM, and RAG solutions end-to-end.

• Build and deploy AI agents, LLM-powered applications, RAG solutions, and intelligent workflows.
• Develop backend services, APIs, microservices, event handlers, data pipelines, and workflow components.
• Implement tool calling, planning, retrieval, state, memory, structured outputs, approvals, and exception handling.
• Design RAG pipelines covering ingestion, chunking, embeddings, retrieval, reranking, grounding, citations, and access-aware filtering.
• Integrate AI solutions with enterprise applications, knowledge bases, APIs, databases, search platforms, and model endpoints.
• Develop UI/user experiences using React, Angular, or equivalent frameworks.
• Build unit, integration, security, and end-to-end testing frameworks.
• Implement logging, tracing, monitoring, token/cost telemetry, and AI evaluation.
• Deploy solutions using CI/CD, Docker/Kubernetes, cloud platforms, and Git-based workflows.
• Troubleshoot complex issues across models, prompts, tools, data, APIs, application code, and infrastructure.
• 7+ years of software/AI/ML/application engineering experience.
• Hands-on production experience with Agentic AI, LLM, RAG, AI Assistants, or AI-enabled applications.
• Strong programming skills in Python / Java / TypeScript / Node.js.
• Strong understanding of APIs, microservices, distributed systems, asynchronous processing, and automated testing.
• Experience with prompt engineering, tool calling, embeddings, retrieval, context engineering, state, and memory.
• Experience with Docker, cloud, CI/CD, Git, secrets management, and monitoring.
• Strong debugging and problem-solving skills.

Good to Have

• React / Angular
• Vector Databases / Enterprise Search / Graph Databases
• LangGraph / LangChain / LlamaIndex / CrewAI / AutoGen / Semantic Kernel
• AI evaluation, tracing, red-team testing, and prompt/tool versioning
• Financial Services or enterprise technology experience