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Gugu RoboticsAI Engineer – AI System Calibration, Optimization
AI Engineer specializing in AI system calibration and optimization for clients. Working directly with engineering teams to improve AI models and workflows in Azure environment.
About the role
- Translate business/ CX needs into AI solution designs (NLU/LLM, RAG, ASR/TTS, integrations).
- Define functional & non‑functional requirements (latency, resiliency, observability, security).
- Build and optimize NLU/LLM components (classification, NER, summarization, RAG over KBs).
- Develop data pipelines for ingestion, cleansing, PII redaction, and evaluation datasets.
- Implement CI/CD for models and prompts, feature flags, canary/rollback.
- Track experiments, lineage, and model/prompt versions; automate regression tests.
- Create unit, integration, regression, and load tests.
- Operate services in production with SLOs, monitoring, alerting, and incident response.
- Drive continuous improvement via analytics, conversation reviews, and error triage.
- Enforce GDPR/LOPDGDD: consent, minimization, retention, access control, auditability.
- Work with conversation designers, software engineers, data scientists, QA, and Ops.
- Produce clear design docs, runbooks, and stakeholder updates.
Requirements
- Participation in bot projects (voicebots, chatbots, virtual assistants, etc.) involving conversational flows, open questions, automation, NLU technologies (voice recognition, classification, voice synthesis), and generative AI.
- Experience in customer relations, requirements gathering, design, validation, etc.
- Development of bots or agents using generative AI technologies such as AI Agentics architecture, Google Conversational Agent with Playbooks, Gemini, OpenAI, Amazon Bedrock, Microsoft Azure AI, other AI architectures, or LLMs...
- Experience in designing, writing, and improving AI prompting under different LLM models.
- What extra would be desirable:
- Knowledge of cloud services, mainly AWS, as well as systems deployed with Docker or Kubernetes
- Experience in contact center and Meta integrations on different platforms. Knowledge of cloud services, mainly AWS, as well as systems deployed with Docker or Kubernetes
- Bot development using conversation technologies such as DialogFlow, Genesys Dialog Engine, Nuance Mix, Microsoft Bot Framework, and VXML.
- Knowledge and experience in programming and scripting (Javascript/Node, Python, Java bash, etc.).
- Experience in recognition models (SST, TTS, NLU) as well as in their training or continuous improvement: Microsoft STT, MS LUIS/CLU, Google, Amazon, Nuance Recognizer.
- Experience in improving UX at the design, development, analysis, and continuous improvement levels of NLP associated with bots.
- Proficiency and experience with project development tools and methodologies. IDEs, code repositories (mainly git), Agile
- Ability to analyze and participate in consulting projects where customer automation bot services have been analyzed, evaluating KPIs, and a proposal for improving their systems and services has been developed.
Benefits
- This is your chance to join and friendly and passionate team that will motivate you to learn and develop your career in the company.******Benefits may include:******Pension Scheme**Remote/Flexible work**Life insurance**Health insurance **25 days paid holiday a year**LinkedIn Learning **Plus many more! (Benefits are dependant on your base location.)******The Small Print******Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.
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