Sr. Software Engineer - AI Platforms and Automation
Tasks
- Build and maintain API integrations
- Build and troubleshoot workflow automation
- Collaborate cross-functionally on workflows
- Coordinate releases and maintenance
- Develop AWS based workflows
- Implement automation and AI workflows
- Maintain production applications
- Manage deployments and configuration
- Mentor team members
- Own and enhance internal platforms
- Perform root cause analysis
- Promote secure maintainable production practices
- Provide operational support in production
- Set up monitoring and alerting
- Support AI agents in production
- Troubleshoot production issues
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | APIs | AWS | AWS Bedrock | AWS Glue | AWS IAM | AWS Lambda | Airflow | Amazon Bedrock | Amazon CloudWatch | Amazon S3 | Automated testing | CI/CD | CPT | Cause analysis | Configuration Management | Cron | Docker | Embeddings | FHIR | Git | Human-in-the-loop | ICD-10 | Incident Response | Infrastructure as Code | Knowledge bases | Kubernetes | LLM APIs | LLM Evaluation | LOINC | Langchain | Langgraph | Linux | Llamaindex | Log Analysis | MWAA | Machine Learning | OWL | PostgreSQL | Prompt engineering | Python | RAG | RDF | REST | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | RxNorm | SNOMED CT | SPARQL | SQL | Search | Shacl | Terraform | The Loop | Tool-Calling | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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