Agentic AI Developer

Agentic AI Developer

Key Responsibilities

• Develop agentic AI applications that autonomously plan, reason, and execute tasks across enterprise environments
• Implement multi-agent workflows using modern agent orchestration frameworks (e.g., Semantic Kernel, LangChain, or similar)
• Design and develop Retrieval-Augmented Generation (RAG) and knowledge-grounded AI solutions
• Integrate AI agents with enterprise systems via REST APIs, databases, and cloud services
• Build agent memory, tool usage, and prompt workflows for reliable and repeatable execution
• Collaborate with product, cloud, and application teams to embed AI agents into business platforms
• Optimize AI solutions for performance, security, compliance, and cost efficiency
• Support testing, monitoring, and continuous improvement of deployed AI agents

Required Qualifications

• 5+ years of software or AI/ML development experience
• 2+ years of hands-on experience with Generative AI and agent-based systems
• Strong experience with Agentic AI concepts: planning, memory, tools, and autonomous execution
• Proficiency in Python and/or C# for AI application development
• Experience working with LLMs, prompt engineering, and model APIs
• Hands-on experience with RAG pipelines, vector databases, and embeddings
• Familiarity with cloud-native architectures and RESTful integrations

Preferred Qualifications

• Experience with Semantic Kernel, LangChain, or similar agent frameworks
• Exposure to Azure OpenAI, OpenAI APIs, or equivalent LLM platforms
• Understanding of MLOps, model lifecycle management, and AI monitoring
• Experience delivering AI solutions in enterprise or regulated environments
• Knowledge of secure AI deployment and AppSec best practices

Technical Skills

• Agentic AI development
• Generative AI & LLM integration
• Prompt engineering & tool orchestration
• Retrieval-Augmented Generation (RAG)
• Python / C#
• REST APIs & microservices
• Cloud platforms (Azure preferred)