Posted on: 23/03/2026
Job Description :
You'll own both the backend infrastructure that powers Telo and the AI agent systems that make it intelligent. This isn't a role where you do one and dabble in the other - we need an engineer who builds production-grade FastAPI services and production-grade RAG pipelines with equal confidence.
Backend :
- Build production services using FastAPI + Python with PostgreSQL (relational + JSONB)
- Design scalable APIs for a multi-entity marketplace (venues, vendors, clients, bookings)
- Create ingestion pipelines and batch processing for large venue/vendor datasets
- Deploy and maintain services on AWS (EC2, RDS, S3, CloudWatch)
AI Engineering :
- Build agentic AI workflows for real event planning operations, not demo-level prototypes
- Implement RAG pipelines grounded in venue, vendor, and event data
- Design embedding-based semantic search with hybrid retrieval (semantic + structured filters)
- Work with vector databases (PGVector, Pinecone, or Weaviate)
- Develop evaluation metrics for agent performance, grounding accuracy, and task reliability
The job is for:
Did you find something suspicious?
Posted by
Posted in
Full Stack
Functional Area
ML / DL Engineering
Job Code
1622811