Geotechnical Engineering Student (Co - op) gaining hands - on field experience while supporting construction and infrastructure projects at EXP.
About the role
- AI Bot Developer responsible for end-to-end development of customer service bots and AI agents. Join a dynamic team focused on creating exceptional digital customer experiences.
Responsibilities
- Translate business requirements into technical designs, intents/entities, dialogue flows, and handoff policies.
- Define non‑functional requirements (latency, resilience, observability, security).
- Implement bots/AI agents (LLM/NLU pipelines, prompt/system instructions, tools/functions, RAG).
- Build integrations (REST/GraphQL, webhooks, event streams) with CCaaS/CRM/knowledge bases.
- Configure ASR/TTS for voice and omnichannel use cases.
- Create unit/integration/regression tests; automate with CI/CD.
- Establish evaluation datasets and metrics (precision/recall/F1, latency, containment).
- Ship via CI/CD, manage environments, feature flags, and rollout/rollback.
- Monitor production (logs/metrics/traces), triage incidents, and drive root‑cause fixes.
- Continuously improve prompts, datasets, flows, and integrations based on analytics.
- Implement PII redaction, data minimization, access controls, and auditability.
- Ensure GDPR/LOPDGDD compliance and Responsible AI guardrails.
- Partner with conversation designers, data scientists, QA, Ops, and vendors.
- Maintain clear technical docs, runbooks, and coding standards.
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.
- 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.).
- Advanced command of key Generative Artificial Intelligence terminology and concepts, especially in the use of large-scale Language Models (LLMs) such as GPT or Gemini.
- Deep understanding of the capabilities, limitations, and functioning of LLMs.
- Experience in the design, implementation, or use of Retrieval-Augmented Generation (RAG) architectures to enrich generated responses with external information.
- Proficiency in generative AI-based tools for productivity, development, analysis, and automation tasks (e.g., Copilot, ChatGPT, Notion AI, GitHub Copilot, etc.).
- Ability to integrate generative AI solutions into business workflows, including APIs, SDKs, and cloud platforms.
- What extra would be desirable:
- 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...
- 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
- 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.
- 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.)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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