Key Responsibilities

• Implement conversational agent features using LLMs and voice integration
• Develop real-time conversational flows (intent detection, slot extraction, fallback handling, barge-in rules)
• Integrate Azure Cognitive Services (Speech-to-Text, Text-to-Speech, Language Services) and open-source AI components
• Build and optimize pipelines for secure data handling (PII masking, transcript storage, session persistence)
• Implement monitoring and logging for model performance and conversation quality
• Ensure compliance with enterprise-level security and privacy requirements during implementation

What we expect as:

Ø Technical Skills

• Voice AI: Speech-to-Text and Text-to-Speech integration (Azure Speech Services/Open Source), orchestration of voice agents
• LLM & NLP: experience with LLMs; intent classification, slot extraction, summarization
• MLOps: Azure ML, Databricks
• Evaluation & Testing: defining metrics for conversational AI (intent accuracy, fallback rate, voice consistency, hallucination control)

Ø Experience Required

• 2–3 years in AI/ML software development, with focus on conversational AI or NLP applications
• Hands-on experience with Azure AI services in production systems
• Previous work on real-time systems

What jpard can offer you

• You will work with passionate and professional people in a close working environment delivering a wide range of solutions for global industry leaders.
• Probably the best thing about working at jpard is being a part of a group of smart, self-driven people, committed to carrying out their activities with passion and accountability.
• We offer competitive compensation, and a flexible, friendly yet demanding work environment, where you can grow and find your personal balance.
• If you truly want to contribute, you care about your work and you are ready to take ownership, with
• jpard you can really thrive, professionally and personally. Get in touch with us at [email protected]!