Our client is seeking a Backend Software Engineer to build secure, distributed MCP services powering AI agent workflows using Python, FastMCP, and Redis.
Requirements
5+ years of backend engineering experience with Python
Strong hands-on experience with async/await patterns, asyncio, and non-blocking I/O
Solid production experience with FastAPI and REST API design (OpenAPI / Swagger)
Proven experience building MCP servers using FastMCP (critical requirement)
Experience with Redis for distributed state management and caching
Strong SQL knowledge and experience with relational databases
Experience implementing authentication and authorization (OAuth2, JWT) and Azure Entra ID / SSO
Familiarity with distributed systems and event-driven architectures
Experience with Docker and containerized deployments
Strong testing mindset with experience in pytest / pytest-asyncio (TDD preferred)
Ability to troubleshoot complex systems and communicate technical concepts clearly
Experience with AI/LLM agent frameworks such as LangGraph, LangChain, or Langfuse (appreciated but not required)
Familiarity with Azure CI/CD pipelines, GitHub Actions, and observability platforms like Datadog (appreciated but not required)
Exposure to AI-assisted (“Vibe”) coding practices (appreciated but not required)
Role & Responsibilities
Design, build, and maintain production-grade MCP servers using FastMCP with focus on performance and reliability
Develop RESTful APIs with proper endpoint design, error handling, and OpenAPI documentation
Implement async Python services using asyncio and httpx for non-blocking workloads
Build agentic workflow orchestration systems using event-driven patterns and webhooks
Manage distributed state persistence and caching using Redis with TTL strategies
Implement enterprise-grade security including OAuth2 flows, Azure Entra ID integration, and JWT validation
Create and maintain unit, integration, and end-to-end test suites
Containerize applications with Docker and manage environments via docker-compose and Azure pipelines
Troubleshoot issues across the distributed stack and ensure system stability
Collaborate closely with platform and delivery teams to ship scalable AI infrastructure
For more information – please apply for this job or send your CV directly and we will contact you to provide further details.
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.....Read more...
Our client is seeking a Senior Data Scientist – GenAI to develop and deploy cutting-edge generative AI models that drive innovation and business impact. Join a forward-thinking team at the forefront of next-generation AI solutions.
Role and Responsibilities:
Development and training of transformer-based models for both text and images.
Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring.
Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions.
Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate.
Requirements:
Senior with 5+ years of relevant experience
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques.
Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...)
Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...)
Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
Understanding of the whole ML lifecycle and experience with MLOps/DataOps.
Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...)
Strong problem-solving skills and attention to detail.
Good communication skills, fluent English.
For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
