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Tech Stack
Tools & technologiesAWSAzureCloudDockerGrafanaKafkaKubernetesPrometheusPythonRabbitMQ
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI/MLLangChainLangGraphTransformersDockerKubernetesPrometheusGrafanaELK
Soft Skills
collaborationcommunication
