Software Jobs in Bengaluru, India (Now Hiring) — 11,604 open — Page 388

Role Summary 

Drive the design, development, and deployment of enterprise-grade agentic AI solutions built on a strong foundation of Java microservices, cloud-native architecture, and secure, scalable platforms. The role blends Agentic AI engineering with modern backend engineering practices to deliver production-ready, resilient, and governed AI systems, along with the ability to contribute to end-to-end application layers. 

Responsibilities 

• • Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks 

  • Develop and optimize RAG systems for improved information retrieval and response generation 

  • Create robust evaluation frameworks for testing agent performance and safety 

  • Implement monitoring and logging systems for agent behavior 

  • Develop documentation and best practices for agent development 

  • Contribute to the improvement of agent architecture and capabilities 

  Hands-on experience with: 

  • Building and deploying autonomous agents 

  • LangChain framework for developing applications 

  • Retrieval Augmented Generation (RAG) systems 

  • Large Language Models (LLMs) and their APIs 

  • Solid understanding of safety principles and best practices 

  • Resolving hallucinations in the outcomes 

  Mandatory Skill sets: 

  • Advanced Python programming with expertise in async programming and API developmenT 

  • Experience with vector databases and embedding models 

  • Proficiency in implementing RAG pipelines and knowledge retrieval systems 

  • Familiarity with prompt engineering and LLM optimization techniques 

  • Experience with development frameworks and tools 

  • Knowledge of modern software development practices (Git, CI/CD, testing) 

  Preferred Skill sets: 

  • Multiple LLM providers (OpenAI, Anthropic, etc.) 

  • Tools for agent orchestration and workflow management 

  • Natural Language Processing (NLP) techniques 

  • Container technologies (Docker, Kubernetes) 

  • Understanding of semantic search and information retrieval concepts 

  • Knowledge of agent alignment and safety considerations