AI Software Engineer

Summary

Join Nextiva, a leader in business communications, as an AI Software Engineer to develop intelligent, multimodal AI agents (voice and chatbots) for our next-generation customer experience platform. You will leverage machine learning and software engineering expertise to build AI-driven features transforming how businesses engage with customers. This role offers the opportunity to work at the forefront of generative AI and multimodal interactions, creating scalable AI solutions that blend automation with the human touch. You will design, implement, and refine AI agents, integrate large language models, own the end-to-end development lifecycle of AI features, build multimodal interaction systems, and optimize AI algorithms for performance and scalability. Success is measured by delivering AI features that improve customer experiences while maintaining high software quality and ethical AI standards. You will contribute directly to Nextiva's CX-first vision.

Requirements

• Education: Bachelor’s degree in computer science, Software Engineering, or a related field (required)
• Software Engineering Experience: 5+ years of professional software development experience, including at least 2+ years building AI or machine- learning powered applications
• Proven experience developing production-grade software (e.g., backend services, APIs, data pipelines) in a collaborative team environment
• AI/ML Expertise: Strong understanding of AI and machine learning fundamentals with hands-on experience in natural language processing (NLP) and/or deep learning
• Familiarity with the latest AI advancements (e.g., transformer-based models, conversational AI frameworks) and a history of applying AI models to solve real-world problems
• Technical Skills: Proficiency in programming languages commonly used for AI development, such as Python (with ML libraries like TensorFlow or PyTorch ) and/or a general-purpose language like Java or C# for scalable systems
• Experience with machine learning frameworks and libraries for NLP, speech, or computer vision (e.g., Hugging Face Transformers, OpenAI APIs, spaCy , Kaldi, AWS/GCP/Azure AI services) is expected
• Multimodal Interaction Knowledge: Experience with speech and language technologies – for example, integrating speech-to-text (ASR) and text-to-speech (TTS) engines, or building chatbots and voice bots for conversational interfaces
• C loud & Scalability: Familiarity with cloud platforms and deploying AI/ML models at scale (AWS, Google Cloud, or Azure)
• Experience with microservices architecture and containerization (Docker, Kubernetes) for AI services
• Collaboration & Communication: Excellent teamwork and communication skills

Responsibilities

• Design & Develop AI Agents: Design, implement, and refine AI agents for Nextiva’s products that understand and respond to customers in multiple formats (e.g., spoken voice, written text). Develop conversational logic and multimodal interaction flows leveraging state-of-the-art natural language processing (NLP) and speech recognition techniques
• A I Model Integration: Integrate large language models and other AI/ML components into the Agentic AI Platform to enable capabilities such as question answering, task automation, sentiment analysis, and recommendations. Ensure that AI models and solutions perform effectively in real-world environments and at scale
• Full Lifecycle Engineering: Own the end-to-end development lifecycle of AI features
• Multimodal Interaction Systems: Build and integrate components for multimodal interactions, including speech-to-text, text-to-speech, and dialog management systems
• Performance Optimization: Optimize AI algorithms and agent frameworks for performance, scalability, and reliability. Use data-driven methods to tune model accuracy and response times
• Quality, Ethics & Compliance: Implement robust testing (unit, integration, end-to-end) for AI features to ensure reliability and correctness. Incorporate ethical AI practices, ensuring AI agent behavior is unbiased and compliant with privacy and security regulations
• Documentation & Mentorship: Document AI agent designs, algorithms, and usage guidelines for future reference. Provide technical guidance and mentorship to junior engineers or new team members as needed

Preferred Qualifications

• A Master’s degree in AI, Machine Learning, or a related discipline is strongly preferred
• Equivalent practical experience in AI/ML development will also be considered
• Drives Results: Action-oriented with a passion for solving problems
• They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently
• They lead and drive change, celebrating success to build more success
• Critical Thinker: Understands the "why" and identifies key drivers, learning from the past
• They are fact-based and data-driven, forward-thinking , and see problems a few steps ahead
• They provide options, recommendations, and actions, understanding risks and dependencies
• Right Attitude: They are team-oriented, collaborative, competitive, and hate losing
• They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems
• They cultivate a culture of service, learning, support, and respect, caring for customers and teams

Benefits

• Health 🍏 - Multiple health plan options to suit your needs, including medical, dental, vision, and telemedicine coverage
• Insurance 💼 - Life, disability, and supplemental indemnity plans
• Work-Life Balance ⚖️ - Flexible Time Off (FTO) for salaried employees, PTO for hourly employees, Paid Sick Time (PST), paid parental bonding leave, and paid holidays
• Financial Security 💰 - 401(k) with company match, Health Savings Accounts with company contributions, Dependent Care FSA
• Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives
• Growth 🌱 - Access to ongoing learning and development opportunities and career advancement