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Technical Lead
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We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Role Title: Engineering Tech Lead
Location: Sheffield
Duration: 9 months
Pay Rate: £504 to 527 per day all inc. (Inside IR35)
Hybrid: 3 days onsite/week
Job Description
Software Engineering & Delivery:
- Design, Build, and ship production-quality services within our current business controls
- Build and optimise DevOps 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
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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:
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- 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
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
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