Back
Mid-level AI/ML role in Bangalore with broad GenAI requirements increases applicant density.
Specialized Agentic AI and LLM framework expertise moderately limits cross-industry mobility.
Explicit 3–6 years plus specific GenAI frameworks, vector DB and cloud/MLOps requirements enforce stringent shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy autonomous AI agents using Large Language Models (LLMs) and multi-agent systems for reasoning, planning, and complex workflow execution.
Implement AI-powered applications using frameworks like LangChain, LangGraph, and integrate AI agents with enterprise APIs, databases, and cloud services.
Optimize AI agent performance, scalability, and operational costs while building monitoring, governance, and evaluation mechanisms.
3 to 6 years of software development experience with at least 2 years in AI/ML or Generative AI.
Proficiency in Python and hands-on experience with commercial and open-source Large Language Models.
Experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or LlamaIndex.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field; relevant certifications preferred.
Experienced in building and managing autonomous AI agents and multi-agent systems using modern AI frameworks and vector databases.
Strong knowledge of AI orchestration, workflow automation, and integration with cloud platforms (Azure, AWS, or GCP).
Skilled in prompt engineering, AI governance, and operationalizing scalable AI solutions within enterprise environments.