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Software Engineering Delivery

Job in Sheffield, South Yorkshire, S5, England, UK
Listing for: TESTQ Technologies LTD.
Full Time position
Listed on 2026-08-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, AI Reliability/ Performance Engineer
Salary/Wage Range or Industry Benchmark: 55000 - 75000 GBP Yearly GBP 55000.00 75000.00 YEAR
Job Description & How to Apply Below
- Software Engineering Delivery

Job Type: Contract

Work Mode: Onsite (Client)

  • oDesign Build and ship production quality services within our current business controls
  • oBuild and Optimise Dec Ops pipelines enhancing CICD processing including testing and platformprocess observability
  • oDesign iterate and optimise prompts for a wide range of LLM use cases instruction following structured output generation classification summarisation code generation and reasoning tasks
  • oBuild and manage prompt libraries and versioning strategies treating prompts as first class engineering artefacts
  • oCollaborate 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 multiagent pipelines tooluse workflows planning loops and memoryaugmented 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 humanintheloop 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
    • Prompt Engineering
    • Demonstrable handson experience engineering prompts for production LLM applications not just prototypes
    • Familiarity with prompt evaluation frameworks and tooling Prompt Flow Lang Smith Braintrust or custom eval pipelines
    • Understanding of tokenisation context limits temperature tuning and modelspecific behaviours across major LLM providers
    • Experience structuring prompts for toolfunction calling structured JSON output and multiturn conversations
    • Dev Ops Infrastructure
    • Kubernetes deployments services ingress Helm Kustomize HPA and RBAC
    • CICD pipelines Git Hub Actions Git Lab CI Jenkins or equivalent
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