Senior Backend Engineer

5 days ago

Letterkenny, Donegal, Ireland beBeeSoftware Full time €120,000 - €140,000
Job Overview

This role focuses on developing innovative AI solutions using AWS Bedrock and designing robust backend services with Python and FastAPI.

  • Create advanced AI applications leveraging AWS Bedrock services.
  • Build intelligent systems to extract insights from financial documents and unstructured data.

The ideal candidate will have expertise in software engineering skills, including FastAPI and RESTful API design.

The successful candidate will be able to implement comprehensive test automation pipelines with robust coverage metrics and have experience implementing evaluation frameworks for AI systems.

We are seeking a highly skilled professional with proficiency in optimization techniques for API performance, API gateway architecture, and microservices.

Key Responsibilities
  • Design and implement high-performance Python backend services using FastAPI.
  • Develop efficient GraphRAG architectures to enhance knowledge retrieval and reasoning.
  • Build scalable API endpoints for model serving and implement Converse API interfaces.
  • Optimize model performance, cost, and latency for production environments.
Requirements
  • 3+ years' experience working with AI/ML services and Python backend development.
  • Strong software engineering skills with FastAPI and RESTful API design.
  • Expertise in Python testing frameworks, including unittest, pytest, and testcontainers.
  • Proficiency building and deploying Converse API interfaces for conversational applications.
  • Experience implementing RAG and GraphRAG architectures for enterprise applications.
  • Proficiency with AWS Bedrock services, including model deployment and integration.
  • Experience with knowledge graphs and vector databases (OpenSearch, Neptune Analytics).
  • Experience creating integration tests with TestContainers for database and service dependencies.
  • Ability to implement comprehensive test automation pipelines with robust coverage metrics.
  • Experience implementing evaluation frameworks for AI systems.
  • Understanding of token optimization and cost management for AI services.

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