Tredence is hiring a hands-on AI Engineering Lead for its Enterprise AI Platform. The role focuses on building, operating, and scaling AI agent systems, RAG applications, and platform infrastructure.
Company: Tredence
Role: Software AI Engineer
Location: Bangalore, India
Experience
2 to 8 years
5 years
Hands-on leadership in AI platform and systems engineering
Strong production experience with Kubernetes, preferably GKE
Strong hands-on experience with Google Cloud Platform
Proven experience leading complex engineering initiatives or mentoring teams
Responsibilities
Lead the architecture and development of AI platforms supporting agents, workflows, RAG systems, and LLM-based applications
Define best practices for AI system design,
model orchestration, inference pipelines, and runtime infrastructure
Drive the evolution of AgentOps frameworks for managing AI agents at scale
Provide technical leadership and mentorship to engineers working on AI infrastructure and platform systems
Collaborate cross-functionally with AI Research, Product, and Platform teams to deliver production-grade AI solutions
Establish engineering standards, design patterns, and development practices
Design and manage AI agent architectures, workflow orchestration, and multi-agent systems
Build and operate Model Gateways and LLM routing layers across providers
Lead development of RAG systems with vector databases and retrieval pipelines
Optimize latency, throughput, and cost of AI workloads
Own Kubernetes-based platforms for scalable AI workloads
Design and implement cloud-native architectures across GCP, with AWS and Azure as secondary environments
Lead Infrastructure as Code and platform automat
📌 Software AI Engineer (Bengaluru)
🏢 Top Gen AI Jobs
📍 Bengaluru
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