Backend & AI Infrastructure Developer/Engineer (Python / FastAPI / Django)

Location:

Experience Level:

Salary:

About the Role

We are looking for a heavy-hitting Backend Engineer to build the "brains" of our AI-powered analytics platform. You will design the architecture that handles heavy asynchronous data processing, machine learning model integrations, and vector searches. If you enjoy building rock-solid APIs, managing high-throughput background tasks, and optimizing complex database queries, this role is for you.

Key Responsibilities

• API Development:

  Architect and maintain high-performance, secure backend services and RESTful APIs using

  Python (FastAPI or Django)

  .

• Asynchronous Data Pipelines:

  Build and scale distributed task queues using

  Celery

  and

  Redis

  to handle heavy background computations and AI processing without lagging the core app.

• AI & Vector Databases:

  Implement and optimize vector similarity searches using

  Pinecone

  or

  pgvector

  to power our AI recommendation and embedding engines.

• Database Management:

  Structure complex relational schemas and optimize query performance in

  PostgreSQL

  .

• Security & Authentication:

  Implement robust security protocols, data encryption, and secure user authentication (JWT, OAuth).

• DevOps & Cloud:

  Deploy, scale, and monitor backend services on cloud infrastructure (AWS or Google Cloud Platform).

Requirements & Technical Skills

• Core Language:

  4+ years of expert-level programming experience in

  Python

  .

• Frameworks:

  Extensive experience building production-ready apps with

  FastAPI

  or

  Django / Django REST Framework

  .

• Data Processing:

  Deep understanding of distributed systems, specifically task queues using

  Celery

  and

  Redis

  .

• Databases:

  Advanced knowledge of

  PostgreSQL

  (indexing, optimization) and experience with vector databases like

  Pinecone

  or PostgreSQL extensions like

  pgvector

  .

• AI Concepts:

  Familiarity working with LLM APIs (OpenAI, Anthropic), vector embeddings, and semantic search workflows.

Best Practices:

hrdbitechnologies@gmail.com

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