Kyndryl is looking for a Senior Agentic AI Developer to design, build, and scale intelligent, autonomous AI systems capable of reasoning, planning, and executing complex tasks. In this role, you will develop agentic AI architectures integrating large language models, tools, memory, and workflows to drive real-world business outcomes.
What You'll Do
- Design and implement agent-based AI systems that can reason, plan, act, and self-correct.
- Build multi-agent workflows, including collaborative, hierarchical, or tool-using agents.
- Implement memory, state management, tool orchestration, and long-running agent processes.
- Optimize prompt engineering, reasoning strategies, and evaluation pipelines.
- Integrate and fine-tune LLMs, both open-source and commercial, for agentic use cases.
- Apply techniques such as RAG, function calling, planning loops, reflection, and self-critique.
- Evaluate model performance, reliability, safety, and cost trade-offs.
- Build scalable, production-grade AI services and APIs.
- Design secure, fault-tolerant, and observable systems.
- Collaborate on system architecture, data pipelines, and MLOps practices.
- Ensure high code quality through testing, reviews, and documentation.
- Partner with product managers, UX, data scientists, and platform teams.
- Mentor junior engineers and contribute to engineering best practices.
- Translate business problems into agentic AI solutions.
- Influence technical direction and roadmap for AI capabilities.
What We're Looking For
- 7+ years of professional software development experience, with 3+ years in AI/ML.
- Strong proficiency in Python and experience with backend frameworks.
- Hands-on experience with LLMs and agentic AI frameworks like LangGraph, AutoGen, CrewAI, or Semantic Kernel.
- Experience with RAG systems, vector databases, and embedding pipelines.
- Solid understanding of distributed systems, APIs, and cloud-native architectures.
- Familiarity with CI/CD, monitoring, and MLOps practices.
- Strong understanding of NLP, prompt design, and evaluation techniques.
- Experience working with structured and unstructured data.
- Knowledge of model safety, hallucination mitigation, and governance.
Nice to Have
- Experience deploying agentic AI in production environments.
- Familiarity with Azure, AWS, or GCP AI services.
- Experience with multi-modal AI involving text, image, or audio.
- Knowledge of security, privacy, and compliance in AI systems.
- Prior leadership or technical ownership of complex AI initiatives.
- Strong problem-solving and systems-thinking mindset.
- Ability to explain complex AI concepts to non-technical stakeholders.
- High ownership, curiosity, and bias for action.
- Comfortable working in fast-evolving, ambiguous environments.
Technical Stack
- Python, LLMs, LangGraph, AutoGen, CrewAI, Semantic Kernel
- RAG systems, vector databases
- APIs, cloud-native architectures
- CI/CD, MLOps
Benefits & Compensation
- A focus on belonging, empathy, and shared success.
- Growth mindset with prioritization of personal and professional development.
- Open, borderless, and inclusive work style.
- Dynamic, hybrid-friendly culture.
- Be Well programs for financial, mental, physical, and social health.
- Access to cutting-edge learning opportunities and certifications from Microsoft, Google, and Amazon.
Kyndryl is an equal opportunity employer.
