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Backend AI engineer
Actively Hiring
Full-time Posted about 2 months ago
Role overview
We are looking for a Senior AI Engineer to join a growing team focused on building and deploying cutting-edge AI solutions in production environments.
This role combines software engineering, cloud development, and Generative AI, requiring a hands-on professional capable of designing, developing, deploying, and maintaining end-to-end AI-powered applications.
You will work closely with AI Engineers, Data Scientists, and Front-End Developers to build scalable and reliable solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native Azure services.
Responsibilities
- check_circle Design, develop, and maintain scalable backend services and APIs using Python.
- check_circle Build and deploy enterprise-grade AI solutions on Microsoft Azure.
- check_circle Integrate Large Language Models (LLMs) and Generative AI capabilities into production applications.
- check_circle Design and implement Retrieval-Augmented Generation (RAG) architectures.
- check_circle Develop prompt engineering strategies and optimize LLM interactions for business use cases.
- check_circle Build intelligent document processing solutions leveraging LLMs and AI services.
- check_circle Integrate capabilities such as semantic search, document understanding, speech-to-text, and AI agents.
- check_circle Collaborate with cross-functional teams to ensure seamless integration of AI services and applications.
- check_circle Monitor performance, troubleshoot production issues, and continuously improve solution reliability and scalability.
- check_circle Contribute to technical architecture decisions and challenge existing implementations to improve code quality and maintainability.
- check_circle Stay up to date with emerging trends and innovations in Generative AI, LLMs, and AI engineering.
- check_circle Strong software engineering background with extensive experience in Python.
- check_circle Experience developing backend applications, microservices, and REST APIs.
- check_circle Proven experience working with Large Language Models (LLMs) and Generative AI solutions.
- check_circle Hands-on experience with Prompt Engineering beyond basic prompt creation.
- check_circle Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
- check_circle Knowledge of NLP concepts such as embeddings, semantic search, document understanding, and entity extraction.
- check_circle Experience deploying and managing cloud solutions on Microsoft Azure.
- check_circle Understanding of AI solution lifecycle, deployment, monitoring, and optimization.
Preferred qualifications
- LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.
- Intelligent Document Processing (IDP).
- OCR and document extraction technologies.
- Speech-to-Text solutions.
- AI Agents and agentic workflows.
- Node.js development experience.
- Microsoft Bot Framework.
- Docker and containerized deployments.
- CI/CD and DevOps practices.
Tags & Focus Areas
Fulltime Ai Ai Engineer Data Science Generative Ai