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19 hours ago
We are seeking a highly skilled Senior AI Engineer with expertise in building advanced Agentic RAG (Retrieval-Augmented Generation) products and integrating sophisticated AI voice-based features using third-party solutions. This role requires a deep understanding of machine learning, natural language processing and voice interaction technologies.
Key Responsibilities:- Design and Develop Agentic RAG Products: Hands-on development of intelligent systems utilizing Retrieval-Augmented Generation techniques to improve performance and interaction quality.
- AI Voice Features: Implement and integrate AI voice features (such as speech recognition, text-to-speech and voice-based interaction) using third-party platforms and APIs.
- End-to-End System Development: Architect and build end-to-end AI solutions that leverage voice recognition, natural language understanding and retrieval-augmented capabilities.
- Cross-Functional Collaboration: Work closely with stakeholders to ensure the delivery of scalable and efficient solutions aligned with business goals.
- Tech Integration: Research and integrate third-party tools and libraries into existing AI systems to extend the capability of voice interactions and RAG models.
- Performance Monitoring and Troubleshooting: Ensure the deployment and operational performance of AI models, monitoring systems and troubleshooting as needed to guarantee high availability and reliability.
- Mentoring and Leadership: Provide mentorship and guidance to junior engineers and participate in code reviews, best practices sharing and technical leadership within the Engineering Team.
- 3+ years of experience in AI/ML engineering or related fields, with a strong focus on natural language processing, machine learning and conversational AI.
- Proven experience with Agentic RAG models and building retrieval-based systems.
- Experience integrating AI voice features (speech recognition, text-to-speech and voice assistants) using third-party tools.
- Experience with cloud platforms (AWS, GCP or Azure) for deploying AI systems.
- Familiarity with voice APIs and SDKs.
- Expertise in data structures, algorithms and model optimization techniques.
- Proficiency in integrating third-party AI/ML tools to create robust voice-based features and agentic systems.
- Strong problem-solving abilities and a passion for building innovative AI products.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to work in an agile development environment with cross-functional teams.
- Experience working in early-stage startups or growth-stage SaaS companies.
- Familiarity with workflow automation platforms such as Zapier or Segment.
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