Agentic AI Engineer

Job Description: Agentic AI Engineer (Trending IT Skills)

Company: Vorizo Infotech
Role: Agentic AI Engineer / Developer (open to Lead and Architect levels)
Experience: 5 to 15 years

How to apply Email: [email removed] WhatsApp: [phone removed] Subject: Agentic AI Engineer | 5 to 15 Years

About the role
We are looking for experienced IT professionals who want to build the next generation of AI-driven software. You will design and deliver agentic AI solutions: systems where AI agents plan, use tools, work with enterprise data and complete multi-step tasks with human oversight.

Key Result Areas (KRA)

1. Agent development: design and build AI agents and multi-agent workflows that automate business processes.
2. LLM integration: integrate LLMs into applications using prompt and context engineering, tool / function calling and RAG.
3. Platform and integration: connect agents to enterprise systems, databases and APIs, including through the Model Context Protocol (MCP).
4. Quality and safety: test and evaluate agent behaviour, and put guardrails, monitoring and human-in-the-loop checks in place.
5. Delivery: deliver production-ready, secure and scalable solutions on cloud platforms with CI/CD.
6. Collaboration and growth: work with product, QA and business teams, mentor juniors, and keep up with new AI tools and practices.

Key Performance Areas (KPA)

• On-time delivery of agent features and releases
• Accuracy, reliability and task success rate of the agents built
• Quality of prompts, retrieval (RAG) and tool integrations
• Cost, latency and performance of AI workloads
• Security, data privacy and responsible-AI compliance
• Defect rate, code quality and documentation
• Reusability of agent components and frameworks
• Team collaboration and knowledge sharing

Mandatory skills

• Strong programming in Python, Java or Node.js, with REST APIs and microservices
• Hands-on experience building LLM-based or agentic AI applications
• Prompt engineering, RAG and tool / function calling
• Experience with agent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Spring AI or LangChain4j
• Vector databases (Pinecone, FAISS, pgvector or similar) and SQL / NoSQL databases
• Git, CI/CD and Agile delivery

Good to have

• Model Context Protocol (MCP) and multi-agent orchestration
• LLM evaluation, observability and LLMOps tools
• Cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI)
• Docker, Kubernetes and cloud experience (AWS, Azure, GCP)
• Fine-tuning basics and AI security and guardrails

Other trending roles we hire for

• AI Agent Developer
• GenAI Solution Architect
• LLMOps / AI Platform Engineer
• MCP / AI Integration Engineer
• AI Test and Evaluation Engineer
• Prompt and Context Engineer

How to apply
Email: [email removed]
WhatsApp: [phone removed]
Subject: Agentic AI Engineer | 5 to 15 Years