Full-Stack & Agentic AI Engineer

About the role

We are seeking a Full-Stack & Agentic AI Engineer to design, develop, and deploy production‑grade AI applications and intelligent agentic systems. The role blends full‑stack software engineering with hands‑on experience in large language models, retrieval‑augmented generation, and AI agent orchestration.

Key responsibilities

• Design and build AI‑powered applications and agentic solutions using modern LLM technologies.
• Create scalable full‑stack systems, including backend APIs, services, databases, and frontend interfaces.
• Develop RAG pipelines with vector databases, embeddings, document processing, and retrieval techniques.
• Build and orchestrate AI agents capable of reasoning, tool usage, task execution, and multi‑step workflows.
• Implement prompt engineering, context management, function/tool calling, and agent orchestration.
• Integrate AI models via APIs and frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
• Design data pipelines for ingestion, transformation, indexing, and retrieval.
• Deploy and operate AI solutions in cloud and containerized environments, optimizing for performance, scalability, reliability, latency, and cost.
• Implement monitoring, logging, and observability for LLM and agentic applications.
• Collaborate with product, engineering, data, and business teams to deliver production‑ready AI solutions.

Required profile

• 5+ years of full‑stack software engineering experience.
• Proven experience building and deploying AI agents in production.
• Hands‑on experience with LLM APIs, prompt engineering, and structured outputs.
• Strong understanding of software architecture, security, scalability, and production deployment.

Required skills

• Python and/or Node.js
• React, Next.js or equivalent frontend frameworks
• REST APIs, microservices, and relational/NoSQL databases
• LLM integration, LangChain, LangGraph, LlamaIndex, Semantic Kernel
• RAG, embeddings, vector databases, semantic search
• Docker, Kubernetes, CI/CD pipelines, Git
• Cloud platforms (Azure AI, AWS Bedrock, Google Cloud AI)