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Agentic AI Architect (2-8 yrs)
Role Summary:
We are seeking a hands-on Agentic AI Developer to build, integrate, and scale intelligent agents within an enterprise-grade Agentic AI platform.You will work on developing autonomous and semi-autonomous AI agents, implementing orchestration workflows, integrating enterprise systems, and ensuring high performance, reliability, and governance of agentic solutions.This role requires strong AI engineering skills combined with practical experience in LLMs, agent frameworks, and real-world AI deployment.
Responsibilities
Design, develop, and deploy AI agents for automation and decision-making
Implement multi-agent workflows and orchestration patterns
Integrate agents with enterprise systems, APIs, and data sources
Develop and optimize prompts, tool usage, and LLM interactions
Build and maintain RAG pipelines and context engineering components
Implement memory management (session, long-term, vector-based)
Ensure agent reliability through validation, guardrails, and error handling
Monitor and optimize agent performance (latency, cost, accuracy)
Implement logging, tracing, and evaluation frameworks for agents
Collaborate with architects and product teams on solution design
Deploy and manage agentic applications on cloud platforms
Continuously improve agents using feedback loops and user insights
Skills & Qualifications :
Strong experience in Python (preferred) or TypeScript
Hands-on experience with LLMs and GenAI APIs
Experience with agent frameworks (Langgraph, Microsoft Foundry Agent, CrewAI, Google ADK etc)
Knowledge of RAG, embeddings, and vector databases
Experience building APIs and integrating external systems
Understanding of prompt engineering and LLM behavior
Familiarity with cloud platforms (Azure/AWS/GCP)
Experience with Git, CI/CD, and DevOps practices
Understanding of AI safety, guardrails, and evaluation
Strong problem-solving and debugging skills
Job ID: 147322585
Skills:
Python, AWS, Agentic AI frameworks, Agent orchestration on cloud platforms, RAG Retrieval-Augmented Generation, MLOps best practices, semantic search, Low-code No-code agent building, CI CD pipelines, Azure Cognitive Search, Microsoft Bot Framework, Azure Cognitive Services, Google Perplexity
Skills:
AWS, Python, Multi-agent orchestration, Azure AI Agent Service Copilot Studio, Azure Cognitive Services, Azure Cognitive Search, Agentic AI frameworks, Advanced RAG Semantic Search implementations, MCP Model Context Protocol, semantic search, Microsoft Bot Framework, Responsible AI principles, RAG Retrieval-Augmented Generation, Google Perplexity, CI CD pipelines, MLOps best practices, Low-code No-code agent building
Skills:
react.js , HTML, MySQL, Php, Xml, CSS, Javascript, Python Fast API
Skills:
Java, Data structures, Mariadb, Redis, Algorithms, System Design, MySQL, Elasticsearch, MongoDB, Logging, LangChain, Agentic AI patterns, RESTful microservices, Microservices patterns, LLM APIs, Clean code, Error handling
We don’t charge any money for job offers
