Related skills
azure java aws python kubernetes📋 Description
- Architecture & Development: Design multi-agent AI workflows
- Build scalable microservices and APIs with Kubernetes and HPA
- Implement observability (metrics, traces, logs)
- Collaborate with architects to improve reliability and compliance
- LLM Engineering: work with foundation models
- Cost-efficient inference pipelines with AWS Bedrock and Azure OpenAI
🎯 Requirements
- 5–8 years in software engineering; 2+ years in AI/ML or large-scale systems
- Strong Python; LangChain, LangGraph, Transformers
- Docker & Kubernetes; observability tools (Prometheus, Grafana, ELK)
- AWS and/or Azure; scalable systems; secure coding
- AWS Bedrock or Azure OpenAI experience (nice to have)
- Kafka, RabbitMQ; Istio; vector DBs; open-source contributions
🎁 Benefits
- Growth opportunities in an AI-driven, high-growth environment
- Hybrid work model in Bengaluru
- Collaborative, inclusive culture; equal opportunity employer
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