About the Role
As a Full Stack AI Developer at Futuria, you’ll play a pivotal role in building the systems that power our AI-driven applications—from intuitive front-end experiences to robust back-end infrastructures. You’ll be responsible for developing, deploying, and optimizing LLM-based applications in production environments, while maintaining scalable APIs and infrastructure using Python frameworks such as FastAPI.
This is a cross-functional role where you’ll collaborate closely with front-end engineers, AI researchers, and product teams to translate AI breakthroughs into user-centric solutions. You’ll be bridging the gap between cutting-edge AI and real-world needs, contributing directly to products that redefine how humans and intelligent agents collaborate.
Key Responsibilities
Design, implement, and maintain scalable back-end systems and RESTful APIs using Python (FastAPI/D)
Apply domain-driven design and test-driven development to build microservices using agile methodologies, with a focus on reliability
Develop, test, and deploy LLM-based applications in secure, production-ready environments
Integrate front-end components with AI models and back-end logic to deliver seamless, end-to-end functionality
Perform data and prompt engineering to optimize model performance and outputs
Optimize applications for performance, scalability, and security
Collaborate cross-functionally with engineering, product, and AI teams to deliver high-impact features
About You
We’re seeking an experienced full-stack engineer with a strong foundation in Python back-end development and the versatility to work across the stack. You’re passionate about building scalable, intelligent systems and thrive in fast-moving environments where experimentation and iteration are the norm. Comfortable bringing structure to ambiguity and collaborating across disciplines, you’re motivated by the opportunity to build meaningful, production-ready tools at the frontier of LLMs, agentic AI, and enterprise software.
Essential:
Strong experience with Python and proficiency in FastAPI or Django
Proven experience building secure, enterprise-grade, public-facing software in an agile delivery environment
Familiarity with SQL and NoSQL databases, including PostgreSQL, Redis, or MongoDB
Solid understanding of containerised microservice infrastructure
Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure)
Desirable:
Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases
Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications
Experience with tools such as LangChain, LangSmith, or Chainlit
Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka
Familiarity with CI/CD pipelines, Docker, and DevOps workflows
Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT)
Success Metrics
Deploy secure, scalable, and maintainable full-stack systems and LLM applications that deliver measurable business value
Maintain low latency, high system uptime, and strong performance across APIs and AI services
Drive fast, iterative collaboration across product, design, and engineering teams
Continuously improve the platform through testing, research, and integration of modern AI and software practices
Why Join Us?
Join a mission-driven, high-growth AI startup shaping the future of human-agent collaboration
Work on cutting-edge AI products that deliver real-world impact
Thrive in a collaborative, innovative environment with opportunities to grow and lead
Enjoy flexible work arrangements (remote/hybrid), with regular in-person team meetups in London
Benefit from a competitive salary and benefits package