Java Full Stack Engineer

JR United Kingdom; Bedford; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading technology services firm is seeking a Java Full Stack Engineer with expertise in AI integration to develop and enhance software products. The ideal candidate will have extensive experience in Java or Python and strong communication skills, working collaboratively to create scalable applications and drive innovation in technology.

Qualifications

• 7+ years of hands-on software development experience in Java (11–21) or Python.
• Deep expertise in backend technologies: SQL/NoSQL databases, Elasticsearch, MongoDB.
• Strong proficiency in modern frontend technologies such as React, Redux, Vue, and TypeScript.

Responsibilities

• Design, build, and maintain scalable full stack applications integrating AI/LLM capabilities.
• Collaborate with cross-functional teams to define, develop, and deliver product features from concept to production.
• Champion code quality, test coverage, and operational excellence through peer reviews and automated testing.

Skills

Java

Python

SQL

NoSQL

Elasticsearch

MongoDB

React

Agile

AWS

TDD

Job description

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Java Full Stack Engineer + Artificial Intelligence

Are you self-motivated with an innovative mind, a passion for technology, and a good understanding of object orientated development?

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

About Apexon:

Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement.

Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence.

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a senior developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.

Key Responsibilities

• Design, build, and maintain scalable full stack applications integrating AI/LLM capabilities.
• Collaborate with cross-functional teams to define, develop, and deliver product features from concept to production.
• Work across the stack, from frontend interfaces to backend systems and infrastructure.
• Integrate and optimize applications with AI agents, prompt engineering techniques, and emerging LLM tools.
• Champion code quality, test coverage, and operational excellence through peer reviews and automated testing.
• Deploy and monitor services in cloud environments, ensuring reliability and performance.
• Continuously evaluate and adopt emerging technologies to improve team velocity and product impact.

Basic Qualifications

• 7+ years of hands-on software development experience in Java (11–21) or Python.
• Deep expertise in backend technologies: SQL/NoSQL databases, Elasticsearch, MongoDB, Spring Boot, REST/GraphQL APIs, and ORM frameworks like Hibernate.
• Strong proficiency in modern frontend technologies such as React, Redux, Vue, and TypeScript.
• Solid experience working in Agile/Scrum environments, ideally with globally distributed teams.
• Hands-on experience deploying applications on AWS, GCP, Azure, or Kubernetes (K8s).
• Familiarity with prompt engineering, LLM APIs, AI agents, and related tooling.
• Proficient in unit testing, integration testing, and Test-Driven Development (TDD).
• Excellent problem-solving, debugging, and performance-tuning skills.

Preferred Qualifications

• Strong communication skills and demonstrated ability to engage with business stakeholders and product teams.
• Experience in data modeling, data warehousing (e.g., Snowflake, AWS Glue, EMR, Apache Spark), and working with data pipelines.
• Leadership experience—whether technical mentorship, team leadership, or managing critical projects.
• Familiarity with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.
• Exposure to event-driven or reactive architectures (e.g., Kafka, Pub/Sub, or similar systems).