Full Stack Engineer

Futuria; Greater London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

An innovative AI technology startup in Greater London is looking for a Full Stack AI Developer to build and optimize AI-driven applications. The ideal candidate will have strong Python and FastAPI skills, working collaboratively across teams to create effective and scalable solutions. This role supports flexible work arrangements and offers a competitive salary package.

Benefits

Flexible work arrangements

Competitive salary and benefits

Opportunities for growth and leadership

Qualifications

• Strong experience with Python and proficiency in FastAPI or Django.
• Proven experience building secure, public‑facing software in an agile environment.
• Solid understanding of containerised microservice infrastructure.

Responsibilities

• Design and maintain scalable back‑end systems and RESTful APIs.
• Develop, test, and deploy LLM‑based applications in production.
• Collaborate with cross‑functional teams for high‑impact features.

Skills

Python

FastAPI

Agile methodologies

SQL and NoSQL databases

Tools

Kubernetes

Docker

Cloud platforms (AWS, GCP, Azure)

Job description

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)
• Experience of using AI to accelerate software development (using Github Copilot Coding Agents or similar)

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