Generative AI Backend Engineer - Scalable Microservices

Aimlroles

Northern (KY)

Hybrid

USD 110,000 - 150,000

Full time

14 days+
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Job summary

Allstate is seeking a passionate Backend Developer to join our engineering team. You will design, build, and maintain scalable backend services and APIs, integrating Generative AI capabilities into enterprise applications.

Responsibilities include deploying AI models, fine-tuning LLMs, and building secure microservices. You’ll work with Docker, Kubernetes, and CI/CD on Azure, using Java Spring Boot or Python FastAPI and collaborating across teams to deliver reliable, high-performance systems.

Qualifications

  • 4+ years of backend development experience with Java Spring Boot or Python.
  • Experience building RESTful APIs and microservices.
  • Experience integrating Generative AI models (OpenAI, LangChain).
  • Familiarity with LLM orchestration and RAG pipelines.
  • Prompts, embeddings, and vector databases knowledge.
  • Strong problem-solving and debugging skills.

Responsibilities

  • Design, develop, and maintain backend services and APIs.
  • Integrate and deploy Generative AI models into production environments.
  • Fine-tune and optimize LLMs for specific use cases.
  • Build secure, scalable, and high-performance microservices.
  • Monitor and improve system performance, reliability, and scalability.
  • Implement CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
  • Deploy and manage applications on cloud platforms, preferably Microsoft Azure.
  • Participate in code reviews, testing, and CI processes.

Skills

Backend development
Java Spring Boot
Python
RESTful APIs
Microservices
CI/CD
Docker
Kubernetes
Azure
LLM integration

Education

4 year Bachelor’s Degree

Tools

LangChain
OpenAI API
Hugging Face
CI/CD tools

Job description

Allstate is seeking a passionate Backend Developer to join our engineering team. You will design, build, and maintain scalable backend services and APIs, integrating Generative AI capabilities into enterprise applications.

Responsibilities include deploying AI models, fine-tuning LLMs, and building secure microservices. You’ll work with Docker, Kubernetes, and CI/CD on Azure, using Java Spring Boot or Python FastAPI and collaborating across teams to deliver reliable, high-performance systems.

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