
Artificial Intelligence Engineer
5 days ago
We are seeking a hands-on Python Architect with expertise in backend engineering and recent experience in Generative AI.
This role is ideal for individuals who are passionate about architecting scalable AI solutions, writing production-grade code, and enabling DevOps practices for AI-powered microservices in enterprise environments.
Main Responsibilities:
- Design and implement Python-based microservices integrating GenAI capabilities
- Develop RESTful APIs and backend services using FastAPI/Flask integrated with OpenAI/Azure OpenAI or open-source models
- Collaborate with ML engineers and data scientists to optimize GenAI system performance and scalability
- Ensure system reliability, scalability, and security across GenAI-enabled services
Required Skills:
- Expert-level Python development skills including experience with FastAPI, Flask, asyncio
- Strong understanding of microservices architecture and distributed systems
- Hands-on experience with GenAI tools: LangChain, LlamaIndex, Hugging Face Transformers
- Familiarity with vector databases like FAISS, Pinecone, or Weaviate
- DevOps practices: CI/CD with GitHub Actions, Docker, Kubernetes, Terraform
Nice-to-Have Skills:
- Experience with agentic orchestration systems such as Autogen, Semantic Kernel, LangGraph
- Exposure to fine-tuning open-source LLMs and deployment in containerized environments
- Understanding of AI observability, performance tuning, and system logging
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