Summary: The role of Java Developer involves designing and delivering production-quality services, optimizing DevOps pipelines, and integrating large language models (LLMs) into agentic systems. The position requires collaboration with product teams to translate business requirements into technical specifications and demands strong proficiency in Java and related technologies. The developer will also be responsible for implementing observability and responsible AI practices in production environments. This is a hybrid role based in Sheffield, requiring three days a week on-site work.
Key Responsibilities:
- Design, Build, and ship production quality services within our current business controls
- Build and Optimise DecOps pipelines - enhancing CI/CD processing, including testing and platform/process observability
- Design, iterate, and optimise prompts for a wide range of LLM use cases - instruction following, structured output generation, classification, summarisation, code generation, and reasoning tasks
- Build and manage prompt libraries and versioning strategies, treating prompts as first-class engineering artefacts
- Collaborate with product and domain teams to translate business requirements into precise, well-structured prompt specifications
- Architect and implement/maintain agentic systems - autonomous agents, multi-agent pipelines, tool-use workflows, planning loops, and memory-augmented reasoning
- Implement LLM observability - logging, tracing, evaluation pipelines, and guardrails - to maintain quality and reliability in production AI systems
- Advise on responsible AI deployment, including output validation, human-in-the-loop design, and risk mitigation for agentic workflows
- Strong proficiency in Java/Spring Boot - REST APIs, event-driven services, security, and performance optimisation
- Solid React development skills and API integration
- Experience with relational and in memory databases (PostgreSQL, Redis)
- Messaging and streaming platforms - Kafka, or equivalent
- Demonstrable, hands-on Experience engineering prompts for production LLM applications - not just prototypes
- Familiarity with prompt evaluation frameworks and tooling (PromptFlow, LangSmith, Braintrust, or custom eval pipelines)
- Understanding of tokenisation, context limits, temperature tuning, and model-specific behaviours across major LLM providers
- Experience structuring prompts for tool/function calling, structured JSON output, and multi-turn conversations
- Kubernetes - deployments, services, ingress, Helm, Kustomize, HPA, and RBAC
- CI/CD pipelines - GitHub Actions, GitLab CI, Jenkins, or equivalent
- Infrastructure as code - Terraform
- Cloud platforms - AWS, GCP, or Azure
Key Skills:
- Strong proficiency in Java/Spring Boot
- Solid React development skills
- Experience with PostgreSQL and Redis
- Familiarity with Kafka or equivalent messaging platforms
- Hands-on experience with LLM applications
- Knowledge of prompt evaluation frameworks
- Understanding of tokenisation and model behaviours
- Experience with Kubernetes and CI/CD pipelines
- Proficiency in Terraform and cloud platforms (AWS, GCP, Azure)
Salary (Rate): undetermined
City: Sheffield
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Java Developer
Hybrid (3 days per week in Sheffied)
KEY RESPONSIBILITIES:
Software Engineering & Delivery:
- Design, Build, and ship production quality services within our current business controls
- Build and Optimise DecOps pipelines - enhancing CI/CD processing, including testing and platform/process observability
- Design, iterate, and optimise prompts for a wide range of LLM use cases - instruction following, structured output generation, classification, summarisation, code generation, and reasoning tasks
- Build and manage prompt libraries and versioning strategies, treating prompts as first-class engineering artefacts
- Collaborate with product and domain teams to translate business requirements into precise, well-structured prompt specifications
Agentic AI & LLM Integration
- Architect and implement/maintain agentic systems - autonomous agents, multi-agent pipelines, tool-use workflows, planning loops, and memory-augmented reasoning
- Implement LLM observability - logging, tracing, evaluation pipelines, and guardrails - to maintain quality and reliability in production AI systems
- Advise on responsible AI deployment, including output validation, human-in-the-loop design, and risk mitigation for agentic workflows
Technical Skills & Experience
Full-Stack Engineering
Strong proficiency in Java/Spring Boot - REST APIs, event-driven services, security, and performance optimisation
Solid React development skills and API integration
Experience with relational and in memory databases (PostgreSQL, Redis)
Messaging and streaming platforms - Kafka, or equivalent
Prompt Engineering
Demonstrable, hands-on Experience engineering prompts for production LLM applications - not just prototypes
Familiarity with prompt evaluation frameworks and tooling (PromptFlow, LangSmith, Braintrust, or custom eval pipelines)
Understanding of tokenisation, context limits, temperature tuning, and model-specific behaviours across major LLM providers
Experience structuring prompts for tool/function calling, structured JSON output, and multi-turn conversations
DevOps & Infrastructure
Kubernetes - deployments, services, ingress, Helm, Kustomize, HPA, and RBAC
CI/CD pipelines - GitHub Actions, GitLab CI, Jenkins, or equivalent
Infrastructure as code - Terraform
Cloud platforms - AWS, GCP, or Azure
INSIDE IR35 CONTRACT
Job Title: Ava Developer
Location: Sheffield, UK
Job Type: Contract
Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website.
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