Overview

🚀 Hiring: Senior Agentic Full-Stack Engineer

Responsibilities

• 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.

Qualifications

• 📌 Openings: Immediate Requirement
• 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.
• Strong debugging and problem-solving skills.
• MCP / Model Context Protocol
• React / Angular
• Vector Databases / Enterprise Search / Graph Databases
• Document processing / Multimodal AI
• LangGraph / LangChain / LlamaIndex / CrewAI / AutoGen / Semantic Kernel
• AI evaluation, tracing, red-team testing, and prompt/tool versioning
• Financial Services or enterprise technology experience
• Total Experience
• Relevant Agentic AI / LLM Experience
• Current Location
• Notice Period
• Current CTC
• Expected CTC