Staff AI Engineer (Agentic AI)
Nextiva
IndiaremotePosted 16 days ago
Skill Required
Staff-AI-EngineerAI-EngineerMachine-Learning-EngineerSoftware-EngineerPlatform-EngineerStaff-AI-Software-EngineerSenior-Agentic-AI-EngineerStaff-Applied-AI-EngineerAgentic-AI-EngineerStaff-AI-EngineeringSr.-Staff-AI-EngineerStaff-ML-EngineerStaff-AI-ML-EngineeringAI EngineerAIsoftware engineeringSystem DesignGenerative AIObservabilityEngineeringR ProgrammingautomationdesigningsecuritybuildingTestNGPythondesignDevOpsCloudJavaAPIsAWSGCPandGoMachine LearningFulltime
Key highlights
- Salary/compensation: Tailored packages including base salary/hourly wages, incentives, or bonuses; medical insurance free cover limit of 1.5 Crore
- Level Required: 10+ years of professional software engineering experience
- Key benefit: 15 days privilege leave + 6 days sick leave + 6 days casual leave + 26 weeks paid maternity leave + 1 week paternity leave per calendar year
- Key requirement: Hands-on experience with LLMs, generative AI, AI agents, or AI-enabled application architectures beyond simply consuming AI productivity tools
- Key requirement: Deep hands-on experience with GCP and/or AWS designing and operating cloud-native production systems
- Key requirement: Experience taking AI solutions beyond prototypes into deployment, operationalization, monitoring, security, reliability, and scale
Role overview
Nextiva is seeking a Staff AI Engineer to help build an internal AI platform that will shape how engineering and the broader organization work. This is a hands-on individual contributor role at the intersection of backend/platform engineering, system architecture, AI, cloud infrastructure, and developer productivity, based remotely across India with an expectation of 4 days per week onsite for those near the Bengaluru office.
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
- 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
Requirements
- 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, monitoring, security, reliability, and scale
- Deep hands-on experience with GCP and/or AWS, including designing and operating cloud-native production systems—not solely familiarity with cloud services or consoles
- Strong understanding of DevOps, CI/CD, infrastructure as code, observability, reliability, and production operations
- Strong understanding of application, infrastructure, data, and AI security considerations and the ability to incorporate appropriate controls into system architecture
- Strong understanding of the end-to-end software development lifecycle, developer workflows, and the challenges of working within large software systems and codebases
- Ability to evaluate technical trade-offs and select technologies based on the problem, desired business outcome, operational requirements, and long-term maintainability
- Strong technical judgment and the ability to operate effectively in ambiguous, cross-functional problem spaces
- Ability to influence technical direction across teams without relying solely on organizational authority
Nice to have
- Experience designing or implementing agentic AI systems, multi-step AI workflows, tool-using agents, or autonomous/semi-autonomous engineering workflows
- Experience applying AI to developer productivity, software engineering, code generation, testing, code review, incident management, or other stages of the SDLC
- Experience building internal developer platforms, engineering productivity platforms, or enterprise automation capabilities
- Experience with AI evaluation frameworks, model/agent observability, prompt and context management, retrieval architectures, and production AI quality measurement
- Experience spanning traditional software engineering and AI engineering—for example, a strong backend, platform, or distributed-systems engineering foundation combined with substantial hands-on AI engineering experience
- Experience driving technical initiatives that span multiple teams, systems, or organizational domains
Benefits
- Medical insurance coverage available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR
- Coverage type: Employee Only; Sum insured: 3 times annual CTC with minimum cap of INR 10,00,000; Free cover limit: 1.5 Crore
- 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year
- Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays
- Provident Fund & Gratuity
- Employee Assistance Program and comprehensive wellness initiatives
- Access to ongoing learning and development opportunities and career advancement
- Remote work opportunity open to candidates across India (onsite 4 days/week expected for those near Bengaluru office, with potential to increase to 5 days)
Additional details
- Location: Remote across India; team members near Bengaluru office (Wilshire III by MFAR, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048) expected to work onsite four days per week, with potential to increase to five days per week
- Tools & Tech Stack will evolve based on problems and outcomes; relevant experience may include: GCP and/or AWS; Java, Python, Go, and/or equivalent production engineering languages; LLMs, generative AI, agentic frameworks and architectures, model APIs, evaluation and observability tooling; Containers, Kubernetes, infrastructure as code, CI/CD, cloud-native services; APIs, distributed systems, event-driven architectures, observability and developer tooling; Cloud security, identity and access management, secrets management, secure application and AI architecture
- Founded in 2008; global leader trusted by over 100,000 businesses and 1M+ users worldwide; headquartered in Scottsdale, Arizona with teams across the globe
- Nextiva DNA core competencies: Drives Results, Critical Thinker, Right Attitude
- Compensation packages are tailored to each role and candidate's qualifications; may include base salary and/or hourly wages, incentives, or bonuses
- Merit-based hiring process; no fees or deposits required at any stage; genuine communications originate from official email addresses ending in @nextiva.com
- Originally posted on Himalayas