The role focuses on designing and implementing agent-based AI systems that can reason, plan, act, and self-correct with minimal human intervention
Job Summary
The role focuses on designing and implementing agent-based AI systems that can reason, plan, act, and self-correct with minimal human intervention.
Candidates will integrate and fine-tune large language models using techniques such as RAG, function calling, and reflection loops to deliver real-world business outcomes.
Kyndryl offers a flexible, supportive environment prioritizing well-being, along with access to data, hands-on learning, and certifications across major platforms.
Matching Summary
The role focuses on designing and implementing agent-based AI systems that can reason, plan, act, and self-correct with minimal human intervention.
Skills & Requirements
Must-have
7+ years software development experience
3+ years AI/ML experience
Python proficiency and backend frameworks
LLM integration and agentic AI frameworks
RAG systems and vector database experience
Distributed systems and cloud-native architecture
Nice-to-have
Production deployment of agentic AI
Multi-modal AI experience
Azure AWS or GCP AI services familiarity
Leadership in complex AI initiatives
Strong problem-solving mindset
Ability to explain concepts to non-technical stakeholders
Key Requirements
7+ years professional software development experience
3+ years experience in AI/ML
Strong proficiency in Python programming
Experience with LangGraph AutoGen CrewAI or similar frameworks