Agentic AI Developer

Supercharge Your Career as a Senior Agentic AI Developer (MCP) at Technoidentity! Are you ready to solve people challengesthat fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 15 years-and we’re expanding globally. It’sthe perfect time to join our team of tech innovators and leave your mark!

What Will You Be Doing? We are looking for a Senior Agentic AI Developer to build and deploy intelligent AI agents using Large Language Models (LLMs), Agentic AI frameworks, and Model Context Protocol (MCP). The ideal candidate will have experience developing AI-powered applications, integrating enterprise systems, and automating business workflowsthrough AI agents.

Key Responsibilities

• Design and develop Agentic AI applications using LLMs and AI Agent frameworks.

• Build and integrate MCP servers and clientsto connect AI agents with enterprise tools and systems.

• Develop AI agents capable of reasoning, planning, memory management, and workflow automation.

• Integrate AIsolutions with APIs, databases, SaaS applications, and enterprise platforms.

• Implement Retrieval-Augmented Generation (RAG) and vector database solutions.
• Build and manage multi-agent workflows and orchestration systems.
• Optimize prompts, agent performance, response quality, and operational efficiency.

• Collaborate with business and technical teamsto identify AI automation opportunities.

• Ensure scalability,security, and reliability of AI applications.
• Stay current with emerging trends in Generative AI, Agentic AI, and MCP.

• 5+ years of software development experience.
• Strong programming experience in Python, Java, TypeScript/Node.js.
• Hands-on experience with Generative AI and LLM-based applications.

• Experience with AI frameworkssuch as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or Semantic Kernel.

• Understanding of MCP (Model Context Protocol) and AI agent architectures.
• Experience building AI Agents and workflow automation solutions.
• Knowledge of RAG, vector databases, and knowledge retrieval systems.
• Experience with REST APIs, microservices, and system integrations.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong problem-solving and software engineering skills.

Preferred Skills

• Experience with multi-agent systems.
• Knowledge of AI observability and monitoring tools.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Exposure to MLOps and AI deployment practices.
• Experience integrating AIsolutions with enterprise applicationssuch as CRM, ERP, or HR systems.

Education

• Bachelor’’s or Master’’s degree in Computer Science, Information Technology, Artificial Intelligence, or a related field