Senior AI Engineer / Product Engineer

We are seeking a highly skilled Senior AI Engineer with a strong background in building Agentic RAG (Retrieval-Augmented Generation) products and working with AI voice-based features using third-party solutions. You will be responsible for designing, developing and deploying intelligent systems that integrate sophisticated AI voice features and Retrieval-Augmented Generation techniques. 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.
• Collaborate Across Teams: 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.
  
  

Qualifications

• 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.
  
  

Preferred Qualifications

• Experience working in early-stage startups or growth-stage SaaS companies.
• Familiarity with tools like Zapier, Segment or similar workflow automation platforms.
• Exposure to growth hacking or sales engineering
  
  

Why Join Us?

• Be part of an innovative startup poised to make a significant impact in the industry.
• Work on some of the most exciting and innovative AI products that shape industries.
• Fast-paced, innovative team that values creativity, collaboration and continuous learning.
• Collaborative and dynamic work culture focused on growth and learning.
  
  

Software Finder is a leading B2B SaaS marketplace that helps businesses discover, compare, and select the right software solutions. Our platform connects companies with tailored software options based on their unique needs, supported by verified reviews and expert insights.

With a growing portfolio of software categories and a global user base, Software Finder is committed to simplifying the software selection process and empowering businesses to make informed decisions.

Our team is driven by a shared mission to innovate, collaborate, and deliver value to our users. As we continue to grow, we are always looking for talented individuals who are passionate about technology, customer success, and making an impact.