Job Title:
Sr AI + Backend Developer
Location:
Reading, UK
Job Description:
We are hiring a
Sr AI + Backend Developer
with strong expertise in
Java (Spring Boot)
,
Python
, and hands-on experience in
AI-powered solutions
. The role requires delivering end-to-end solutions from
concept to production
, building
scalable microservices
,
SaaS applications
, and
enterprise-grade APIs
. You must be experienced in
cloud platforms (AWS, GCP)
,
DevOps practices
, and
AI frameworks (LangChain, RAG, agent-based systems)
.
As a
Sr AI + Backend Developer
, you will work on designing, developing, and deploying
distributed, high-performance, secure, and intelligent systems
, integrating
AI/LLM capabilities
with
backend architectures
.
Key Skills & Competencies – Sr AI + Backend Developer
Core Development:
* Strong expertise in
Java (Spring Boot)
and
Python
for backend and AI development.
* Hands-on experience in
microservices
,
API-first design
,
SaaS platforms
, and
cloud-native applications
.
* End-to-end ownership of
AI + backend solutions
from
design to deployment
.
Frameworks & Tools:
* Backend:
Spring Boot (web, data, cloud, security)
,
JUnit 5
,
Mockito
,
TestContainers
.
* AI:
LangChain
,
Retrieval-Augmented Generation (RAG)
,
prompt engineering
,
agent-based systems
,
MCP servers
.
* Libraries & Tools:
Swagger
,
Apache Commons
,
Guava
,
observability frameworks
.
Architecture & Platforms:
* Cloud deployment
expertise on
AWS
and
GCP
.
* Docker
,
CI/CD pipelines
,
Infrastructure as Code (IaC)
,
DevOps practices
.
* Workflow/orchestration engines
,
scalable distributed systems
,
API-first architectures
.
Scalability, Data & Observability:
* Design for
scalability, performance, extensibility
with structured, semi-structured, and unstructured data.
* Strong knowledge of
security best practices
,
AI safety
,
logging, metrics, tracing, debugging, and performance monitoring
.
AI Development:
* End-to-end AI-powered solution development
from idea to production.
* LLMs integration
,
LangChain pipelines
,
RAG workflows
,
prompt engineering
.
* Ability to
bridge AI and backend workflows
for enterprise platforms.
SDLC & Agile Practices:
* Strong foundation in
Agile SDLC
,
Scrum
,
collaborative delivery
.
* Experience with
low-code/no-code platforms
for rapid prototyping.
Nice to Have:
* Knowledge of
Domain-Driven Design (DDD)
,
schema-first development
.
* Experience in
plugin architectures
,
extensibility frameworks
.
* Exposure to
frontend development (HTML5, CSS3, TypeScript, responsive UIs)
for collaboration.
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