ZingMind - AI Developer - Agentic Frameworks in Bangalore, भारत
ZINGMIND PRIVATE LIMITED
Bangalore, भारत
Description : Location - Client site, BangaloreHybrid - 3 days weeklyTotal 8+ years of experience, Build agents/components that reason, plan and actKey Responsibilities : - Design and deploy advanced AI agents using LangChain and LangGraph to automate complex workflows and improve system responsiveness for enterprise clients.- Architect and maintain high-performance data pipelines within Databricks and Snowflake DB to ensure seamless data ingestion and model training processes.- Implement and manage CI/CD pipelines to automate the testing and deployment of AI models, reducing time-to-market for new features.- Collaborate with stakeholders to translate business requirements into technical AI specifications, ensuring alignment with long-term product goals.- Optimize existing AI infrastructure to enhance computational efficiency and reduce latency, directly impacting the user experience for our global customer https://jobeax.com/link/DauTp3Z5V7O0NICz set : - Experience with Agent frameworks, LangChain, LangGraph- Implement guardrails - ReAct patterns- Develop memory and tool-use capabilities (MCP), collaborate with prompt engineers- AIOps, Build CI/CD pipelines- Strong Python engineering (async, APIs, microservices)- Experience with Snowflake, Databricks, Lakehouse architectures (ref:hirist.tech)
Role Overview:We are looking for an Agentic AI Developer with strong Java development experience and hands-on expertise in GitHub Copilot and Copilot Chat. The role focuses on building AI agents to automate software development lifecycle (SDLC) activities, including code analysis, refactoring, Java upgrades, dependency ...
... https://jobeax.com/link/YC4Sfdp58XhhNquJ Description : InfoBeans Technologies is seeking an experienced AI Developer to design, develop, deploy, and support enterprise-grade Agentic AI solutions on the Google Gemini Enterprise Agent Platform (GEAP).In this role, you will focus on building scalable AI agents, enterprise integrations, and ...
... – any segment in Risk domain) OR Financial Risk (any domain) OR Banking – Capital markets exposure or Wealth-Asset management exposure - Deep AI engineering, AI design and AI adoption experience (Vector DBs, Python AI frameworks, RAG models, LLM/SLM, Agentic AI integration, Agentic AI workflows, Agentic AI model ops and ...
Job Description : We are looking for an experienced AI/ML Developer with strong hands-on expertise in Python, Generative AI, and agentic development. The role focuses on applying AI to software engineering and business workflows, building reusable agentic frameworks, and accelerating the adoption of AI-powered solutions ...
... cutting-edge AI technologies to solve industry-specific https://jobeax.com/link/q2pgEBLUGQf2QS20 the Team : Join a team transforming enterprise operations through AI-driven intelligence and GenAI powered automation. Our AI platform enables context-aware automation, RCA-based remediation, and agentic AI & conversational agents ...
... – any segment in Risk domain) OR Financial Risk (any domain) OR Banking – Capital markets exposure or Wealth-Asset management exposure - Deep AI engineering, AI design and AI adoption experience (Vector DBs, Python AI frameworks, RAG models, LLM/SLM, Agentic AI integration, Agentic AI workflows, Agentic AI model ops and ...
... 12–15 years of overall experience, including around 2 years of hands-on AI experience. We are seeking an experienced AI Architect to define and lead enterprise AI transformation initiatives. This role will drive architecture decisions across Generative AI, Agentic AI, AI platforms, AI-enabled SDLC, and enterprise AI governance. ...
... requirements and enterprise technology standards.- Architect and implement solutions leveraging Generative AI, LLMs, Agentic AI, NLP, and Machine Learning.- Design AI agents and intelligent workflows using appropriate agentic AI frameworks and LLM-based architectures.- Evaluate and select AI models, frameworks, platforms, and ...
... requirements and enterprise technology standards.- Architect and implement solutions leveraging Generative AI, LLMs, Agentic AI, NLP, and Machine Learning.- Design AI agents and intelligent workflows using appropriate agentic AI frameworks and LLM-based architectures.- Evaluate and select AI models, frameworks, platforms, and ...