This role focuses on delivering scalable, secure, and observable services rather than prototypes by combining strong software engineering principles with modern AI practices
Job Summary
This role focuses on delivering scalable, secure, and observable services rather than prototypes by combining strong software engineering principles with modern AI practices.
You will be responsible for designing and implementing multi-agent systems with planning, tool usage, and delegation capabilities using frameworks like LangGraph.
The position requires building robust APIs and enterprise-grade pipelines that integrate LLMs with business systems to deliver measurable outcomes while ensuring strict security and compliance.
Matching Summary
Match Score: 85
This role focuses on delivering scalable, secure, and observable services rather than prototypes by combining strong software engineering principles with modern AI practices.
Skills & Requirements
Must-have
6+ years software engineering experience
Production-grade LLM application development
Multi-agent system design and implementation
RAG pipeline optimization and vector search
Kubernetes containerization and deployment
Python or TypeScript proficiency
Nice-to-have
Experience with LangGraph or Semantic Kernel
Distributed compute frameworks like Ray
Search optimization with BM25 and re-ranking
Event-driven architectures using Kafka
Regulated industry experience in finance or telco
OPA/Gatekeeper policy enforcement expertise
Key Requirements
6+ years of software engineering experience
Strong proficiency in Python, TypeScript, Go, or Java
Hands-on experience with Kubernetes and CI/CD pipelines
Practical experience building LLM-based applications
Solid data engineering skills including SQL and vector databases