Negotiable
Undetermined
Remote
London Area, United Kingdom
Summary: The role of Backend Python Developer focuses on developing AI/ML applications for a long-term contract. The position requires extensive experience in Python backend development, particularly with frameworks like FastAPI, Flask, or Django. The developer will work remotely and is expected to integrate various APIs and deploy containerized applications.
Key Responsibilities:
- Develop and maintain backend applications using Python.
- Implement RESTful APIs and microservices architecture.
- Integrate LLM APIs into real-world applications.
- Deploy containerized applications using Docker.
- Collaborate with cross-functional teams to enhance AI/ML capabilities.
- Utilize cloud services and CI/CD pipelines for application deployment.
Key Skills:
- 5+ years of experience as a Python backend developer.
- Hands-on experience with FastAPI, Flask, or Django REST frameworks.
- Strong knowledge of RESTful APIs, microservices, and asynchronous programming.
- Experience with Azure and integrating LLM APIs.
- Familiarity with AI agent frameworks like LangChain or AutoGen.
- Proven ability to deploy containerized apps using Docker.
- Exposure to cloud services (AWS, GCP, Azure) and CI/CD pipelines.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Hi We have a job opportunity for Backend Python Developer with our client for long term contract, please send the resume to p avanit.in@mouritech.com
Role: Backend Python Developer – AI/ML
Location- UK, remote
Long term Contract
Required Skills & Experience:
- 5+ years of experience as a Python backend developer
- Solid hands-on experience with FastAPI , Flask, or Django REST frameworks
- Strong knowledge of RESTful APIs , microservices, and asynchronous programming
- Hands on Experience with Azure
- Experience integrating LLM APIs (OpenAI, HuggingFace Inference API, etc.) into real-world applications
- Experience with AI agent frameworks such as LangChain, AutoGen, or Semantic Kernel
- Proven ability to deploy containerized apps using Docker , including LLM inference services and agent-based tools
- Familiarity with vector databases and RAG workflows
- Exposure to cloud services (AWS, GCP, Azure) and CI/CD pipelines