AI Engineer

Redefine the future of customer experiences. One conversation at a time.

At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation.

Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it’s through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are.

If you’re ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong.

Location: This is an onsite role based at Nextiva’s Bengaluru office (Wilshire III by MFAR, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048). Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity. 

In-Office Expectation: This role is expected to work onsite four days per week, with the potential to increase to five days per week, as required by the business. Specific scheduling and flexibility will be guided by your leader to support both team collaboration and individual productivity. 

The Staff AI Engineer – Voice AI is a hands-on senior individual contributor role for an experienced engineer with deep expertise across AI/ML, LLM systems, software engineering, and distributed system design. This role will help architect, build, and scale Nextiva’s next generation of intelligent, real-time conversational and Agentic AI experiences. 

As a Staff AI Engineer, you will operate at the intersection of AI engineering, real-time systems, system architecture, and hands-on software development. You will take ownership of complex AI capabilities from experimentation and early-stage technical solutioning through architecture, implementation, evaluation, production deployment, and continuous improvement. 

This is not an architecture-only or research-only position. We are looking for someone who remains deeply hands-on, writes production-quality code, understands modern AI systems in depth, and can translate rapidly evolving AI technologies into reliable, scalable, low-latency production systems. 

You will work across the complete Voice AI stack — including streaming audio, ASR, TTS, LLM reasoning and orchestration, tool/function calling, RAG and knowledge systems, agentic workflows, context and memory management, and real-time communications. You will help build AI agents capable of reasoning, maintaining context, interacting with enterprise systems, and executing complex multi-step workflows while delivering natural and reliable conversational experiences.