Key skills
AWSAzureCloudDockerGrafanaKafkaKubernetesPrometheusPythonRabbitMQAIMLOpenAILangChainLangGraphBedrockIstioService MeshCollaboration
About this role
Role Overview
- Work on developing, optimizing, and deploying AI-driven solutions
- Focus on building scalable products that leverage LLMs and orchestration frameworks
- Hands-on development and close collaboration with cross-functional teams
- Deliver high-quality, secure, and observable systems in a multi-cloud environment
Requirements
- 5–8 years of software engineering experience
- At least 2 years in AI/ML or large-scale enterprise systems
- Strong programming skills in Python
- Experience with AI/ML frameworks (LangChain, LangGraph, Transformers)
- Hands-on experience in developing containerized applications (Docker, Kubernetes)
- Exposure to observability frameworks (Prometheus, Grafana, ELK)
- Experience working with cloud services such as AWS and/or Azure
- Good understanding of scalable systems, HPA, and secure coding practices
- Preferred: Experience with AWS Bedrock or Azure OpenAI services
- Knowledge of vector databases and semantic search
- Familiarity with Kafka, RabbitMQ, or service mesh (Istio)
- Contributions to open-source AI or cloud projects
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Grafana
- Kafka
- Kubernetes
- Prometheus
- Python
- RabbitMQ
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development