TQUSI0906_5904 - Software Engineering Delivery

Job Type: Contract

Work Mode: Onsite (Client)

Software Engineering Delivery

  • oDesign Build and ship production quality services within our current business controls
  • oBuild and Optimise DecOps 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 firstclass engineering artefacts
  • oCollaborate with product and domain teams to translate business requirements into precise wellstructured 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


Technical Skills Experience

  • FullStack Engineering
  • Strong proficiency in Java Spring Boot REST APIs eventdriven 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 PromptFlow LangSmith 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
  • DevOps Infrastructure
  • Kubernetes deployments services ingress Helm Kustomize HPA and RBAC
  • CICD pipelines GitHub Actions GitLab CI Jenkins or equivalent
  • Infrastructure as code Terraform
  • Cloud platforms AWS GCP or Azure

Skills

Mandatory Skills : MLOPS, Python

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