Design and implement RAG pipelines (retrieval, ranking, context injection)
Build real-time and batch data pipelines for structured and unstructured sources
Develop scalable Python services with APIs in a microservices architecture
Integrate with enterprise systems (CRM, knowledge base, data lakes)
Enforce data governance, access policies, masking and compliance
Deploy and operate cloud-native AI services with logging and observability

🎯 Requirements

3-5 years of software AI development experience
Proficient in Python, FastAPI, PyTest, Celery
Experience with RAG and vector databases
Familiarity with Kubernetes, Terraform, and GitHub Actions
Knowledge of logging, monitoring, and AI observability practices
Cloud platforms: AWS, Azure, or GCP

🎁 Benefits

Equal Opportunity Employer
Growth and development opportunities
Collaborative, inclusive culture
Reasonable accommodations available
Confidential applicant data handling

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot