Negotiable
Undetermined
Remote
London Area, United Kingdom
Summary: The role is for a Backend Python Developer specializing in AI/ML, offering a long-term contract with a client in the UK. The position is remote and requires extensive experience in Python development, particularly with frameworks like FastAPI, Flask, or Django. Candidates should also have a strong background in integrating LLM APIs and deploying containerized applications.
Key Responsibilities:
- Develop and maintain backend applications using Python.
- Utilize FastAPI, Flask, or Django REST frameworks for application development.
- Integrate LLM APIs into real-world applications.
- Deploy containerized applications using Docker.
- Work with microservices and asynchronous programming.
- Collaborate with cloud services and CI/CD pipelines.
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 and microservices.
- 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