Principal Tech Lead for Generative AI solutions at Ameriprise India LLP. Leading design, development, and deployment of advanced AI systems in collaborative environment.
About the role
- Senior Agentic AI Developer at Kyndryl to build autonomous AI systems for complex tasks. Collaborating to integrate LLMs and achieve real-world business outcomes.
Responsibilities
- Design and implement agent-based AI systems that can reason, plan, act, and self‑correct
- Build multi‑agent workflows (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 (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
- Stay current with advances in agentic frameworks and AI research
- 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
Requirements
- 7+ years of professional software development experience, with 3+ years in AI/ML
- Strong proficiency in Python (primary) and experience with backend frameworks
- Hands‑on experience with LLMs and agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar)
- 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.
Benefits
- Flexible work arrangements
- Professional development opportunities
- Health insurance
- Wellness programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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