Software Engineering Delivery
Job in
Sheffield, South Yorkshire, S5, England, UK
Listed on 2026-08-10
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
Job Description & How to Apply Below
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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