Role: Agentic AI
Location: USA Remote
JD Job Description
We are looking for an experienced Agentic AI Engineer to design, develop, deploy, and optimize AI agents using modern Agentic AI frameworks. The ideal candidate should have hands-on experience building autonomous AI agents, integrating LLMs, and deploying intelligent agent-based applications in production environments.
Required Skills
Strong experience in Agent Development
Hands-on experience with Agent Deployment
Experience working with ADK (Agent Development Kit)
Knowledge of building autonomous AI workflows and multi-agent systems
Experience integrating Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, or Llama
Strong programming experience in Python
Experience with API integrations and AI orchestration frameworks
Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and AI automation
Experience deploying AI applications in cloud environments (AWS, Azure, or Google Cloud Platform) is a plus
Strong debugging, troubleshooting, and problem-solving skills
Preferred Qualifications
Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar Agentic AI frameworks
Knowledge of vector databases (Pinecone, ChromaDB, Weaviate, FAISS)
Experience with Docker, Kubernetes, and CI/CD pipelines
Understanding of AI governance, security, and responsible AI practices
Responsibilities
Design and develop intelligent AI agents using modern Agentic AI frameworks.
Build and deploy scalable agent-based applications.
Integrate LLMs with enterprise applications and APIs.
Optimize agent performance, reasoning, and workflow automation.
Collaborate with cross-functional teams to deliver AI-driven solutions.
Troubleshoot and enhance existing AI agent deployments.
Skills: Agent Development, Agent Deployment, and ADK skills.
