Staff AI Engineer (Agentic AI)

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: While this role is open to remote candidates across India, team members located near our Bengaluru office (Wilshire III by MFAR, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048) are expected to work onsite four days per week, with the potential to increase to five days per week to support collaboration, speed, and execution.

Nextiva is looking for a Staff AI Engineer to help build an internal AI platform that will shape how we work across engineering and the broader organization.

This is a Staff-level, hands-on individual contributor role at the intersection of backend/platform engineering, system architecture, AI, cloud infrastructure, and developer productivity. You’ll design and build production-grade agentic workflows across the software development lifecycle (SDLC) and intelligent automation that improves engineering and business processes across Nextiva.

Working across Nextiva’s technology platform, you’ll identify high-value opportunities, architect solutions, and take them from concept through deployment, operationalization, security, observability, and scale. You’ll also provide technical leadership and influence across engineering teams.

We are looking for an engineer who understands that AI is a means to a business outcome—not the outcome itself and can turn promising capabilities into reliable systems that create measurable value.

Top 3 Outcomes (first 12 months)

Build and operationalize agentic SDLC capabilities: Architect and deliver production-grade AI workflows that materially improve how Nextiva engineers design, build, test, review, deploy, operate, and maintain software, with measurable improvements in engineering effectiveness.

Establish a scalable internal AI platform: Develop reusable architecture, services, infrastructure, patterns, and guardrails that enable AI-powered workflows to move reliably from experimentation into secure, observable, production-scale operation.

Deliver measurable business impact through AI and automation: Identify and execute high-value automation opportunities across engineering and business processes, establishing clear success metrics and demonstrating tangible improvements in productivity, quality, velocity, cost, or customer outcomes.

Key Responsibilities

Architect, build, deploy, and operate production-grade AI systems and agentic workflows across the SDLC and broader business processes.

Design scalable internal platform capabilities that enable teams across Nextiva to safely and efficiently adopt AI-powered automation.

Own solutions end-to-end—from problem definition and architecture through implementation, deployment, observability, security, scaling, and ongoing operation.

Build robust integrations between AI models, agents, developer tooling, internal platforms, enterprise systems, APIs, data sources, and engineering workflows.

Apply strong software engineering principles to AI systems, including modular architecture, testing, reliability, performance, maintainability, and fault tolerance.

Design approaches for AI evaluation, observability, quality measurement, failure handling, and continuous improvement in production.

Make pragmatic architectural and technology decisions based on business outcomes, engineering constraints, risk, and total cost of ownership rather than technology trends.

Work deeply within GCP and/or AWS, designing cloud-native architectures and infrastructure capable of supporting secure, reliable, scalable production workloads.

Partner with infrastructure, DevOps, security, architecture, and engineering teams to establish reusable engineering patterns, technical standards, and operational guardrails for AI-powered systems.

Understand complex software systems and large codebases to identify opportunities where AI can improve developer workflows across the end-to-end SDLC.

Evaluate emerging AI models, frameworks, agent architectures, and developer technologies to determine where they can create meaningful value for Nextiva.

Provide Staff-level technical leadership through architecture reviews, design decisions, technical mentorship, and influence across engineering teams.

Translate ambiguous business and engineering problems into clear technical strategies and executable solutions, measuring and optimizing impact based on production data, user feedback, and business results.

Requirements

Must-have

10+ years of professional software engineering experience, with demonstrated experience designing, building, and operating complex production-scale systems.

Demonstrable hands-on experience designing and building AI/ML or generative AI solutions that have reached production and/or delivered measurable business outcomes.

Strong software architecture and system design skills, including experience making consequential technical decisions for distributed or large-scale systems.

Strong programming and software engineering fundamentals in one or more production languages such as Java, Python, Go, or equivalent.

Hands-on experience working with LLMs, generative AI, AI agents, or AI-enabled application architectures, beyond simply consuming AI productivity tools.

Experience taking AI solutions beyond prototypes into deployment, operationalization, monitor