Sr Backend Engineer - AI
Hays Specialist Recruitment LLC
Tampa, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Tampa, United States of America
Tech stack
JavaScript
API
Artificial Intelligence
Azure
Databases
Continuous Integration
DevOps
Python
Software Engineering
Systems Integration
TypeScript
Data Logging
Large Language Models
Prompt Engineering
Backend
Front End Software Development
REST
Microservices
Job description
We are seeking a Senior Backend Engineer to design, build, and scale AI-powered backend services using large language models (LLMs) and Microsoft Azure services. This role is focused on LLM integration, orchestration, and production-grade AI systems, not UI development.
You will work on secure, scalable backend services that power AI-driven applications used by internal teams. This role is ideal for an experienced backend engineer who has applied LLMs in real production environments.
What You'll Do
- Design, build, and maintain backend services that leverage LLMs
- Develop and operate LLM-powered workflows (prompt orchestration, grounding, structured outputs)
- Implement retrieval-augmented generation (RAG) patterns using embeddings and search
- Integrate LLM services into existing enterprise systems via APIs
- Build secure, scalable services using Python and Azure-native components
- Optimize AI solutions for performance, cost, reliability, and accuracy
- Apply best practices for error handling, logging, monitoring, and observability
- Work within established CI/CD and DevOps pipelines to deploy and operate services
- Collaborate with frontend engineers, platform teams, and non-technical stakeholders
- Stay current with advancements in Azure AI and LLM capabilities
Requirements
- 5+ years of backend or application development experience
- Strong proficiency in Python
- Hands-on experience building or integrating LLM-based systems
- Strong experience with Azure services, including:
- Azure AI / Azure OpenAI
- Azure App Services, Functions, or Containers
- Identity, security, and access controls
- Experience designing and consuming RESTful APIs
- Understanding of AI concepts such as:
- Prompt engineering and orchestration
- Embeddings and semantic search
- AI limitations and failure modes
- Experience operating services in a production cloud environment
Nice to Have
- Experience with vector databases or search services
- Experience integrating AI into regulated or security-sensitive environments
- Familiarity with TypeScript or JavaScript for API consumption
- Experience collaborating closely with frontend/UI teams
What This Role Is Not
- Not a frontend or UI role
- Not an ML research or data science role
- Not responsible for owning DevOps infrastructure design