Senior AI Engineer - Voice & Digital AI

At Zingly, we’re creating the next generation of AI-powered systems that transform how businesses build relationships with their customers. Our platform enables companies to deploy intelligent workflows and AI agents that integrate deeply with their existing tools, data, and processes.

We believe the future of AI is not just in models — it’s in how those models are applied inside real-world systems and how they support human relationships. That’s where you come in.

We are looking for individuals who also are passionate about relationships - and if your skills follow your passions, you are in the right place. Our team is globally distributed and we welcome diverse backgrounds and perspectives. Creating an environment that is challenging, creative and focused on your growth is a top priority  put people first, inside and outside of work.

https://(Use the "Apply for this Job" box below)..ai

• Join a high-growth, founder‑led company with a track record of building and scaling successful businesses, including public companies.
• Be a part of a world‑class, passionate and highly motivated team shaping the future of customer engagement at a global scale.
• Solve complex, real‑world problems across diverse industries – from finance, to health‑care, travel, and more.
• Thrive in an environment that rewards great craftsmanship, creativity and ambition.
• Create solutions at the intersection of customer impact and product innovation.
• High ownership, autonomy, and opportunity to shape the company’s direction & culture for years to come.

We are seeking a Senior AI Engineer with 5–8 years of experience developing high‑performance, scalable AI solutions, including hands‑on work with LLMs and modern generative AI applications.

• Design and build state‑of‑the‑art AI systems, including training, securing, and applying guardrails to LLMs.
• Architect, scale, and optimize AI solutions on the Zingly platform.
• Develop and integrate REST APIs for backend services (e.g., STT, TTS, STS).
• Design high‑performance, scalable & secure APIs with strong governance & ease of use.
• Build and deploy scalable modules leveraging LLMs and proprietary models, including prompt engineering and fine‑tuning.
• Develop application‑specific interfaces powered by LLMs.
• Enable clients to build GenAI applications and experiences using platform services.
• Lead the design and development of domain‑specific LLMs for targeted use cases.
• Contribute to technical direction, system design, and engineering excellence.

• You ship fast: pre‑scoped tasks in 7 days, pre‑defined goals in one sprint.
• Driven and determined to do your best at everything you do.
• Passionate about creating the best user experience possible, on schedule.
• Independent but collaborative, clearly communicating and working across design, product, and engineering teams.
• Team player, quick to help others, even when it’s not part of your core role.
• Proactive, anticipating what’s around the corner, both in our own product, and the bigger industry.
• Innovative and not afraid to (respectfully) question status quo; out of the box thinker.
• Leader in character and skill set, setting the bar high for yourself and others.

• 5–8+ years in ML/AI engineering with strong focus on NLU and GenAI systems.
• Hands‑on experience with agentic AI (multi‑agent systems, planning, memory, tool use) MCP, and RAG architectures at scale.
• Deep knowledge of LLM training, fine‑tuning, evaluation, and safety.
• Experience building real‑time conversational and Voice AI systems.
• Proven track record of taking ML systems from research to production.
• Strong MLOps and cloud experience (preferably AWS), including CI/CD and model lifecycle management.
• Proficient in Python (Java a plus) and building scalable APIs and event‑driven systems.
• Solid understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
• Familiarity with observability tools and real‑time communication protocols (e.g., WebRTC, VoIP).
• Strong computer science fundamentals (data structures, algorithms).