Careers at AiVibe

Innovate. Disrupt. Lead. Your AI Journey Starts Here!

Innovative Work

Work on AI-driven solutions transforming industries, from AI-powered Quality Management Systems (QMS) and intelligent SaaS applications to tailored IoT solutions and enterprise automation. Collaborate on projects shaping Smart Cities, Smart Micro Irrigation, and AI-integrated compliance systems, driving efficiency, sustainability, and business excellence.

Grow. Learn. Lead. The AiVibe Way!

Unlock limitless potential with cutting-edge training, certifications, and mentorship from industry leaders. Stay ahead of the curve with a culture that fuels innovation, inspires growth, and turns ambition into impact!

Purpose-Driven Innovation

At AiVibe, your work goes beyond technology—it drives real-world change. From our United Nations-backed commitment to sustainability to pioneering AI & IoT-powered Smart Water Management solutions with L&T WET, we’re shaping a smarter, greener future. Join us in building innovations that matter!

Inclusive Culture

Be part of a dynamic team led by industry pioneers Aravind Jayamohan (Founder & CEO), Jayagiri Manoharan (Director & COO), and Sanjeevkumar N (CPO)—blending global expertise with innovation to shape AI-driven success.

Open Positions

2 open roles · apply online with your resume

Cloud Platforms & Reliability Engineering

Cloud Professional — AWS + Google Cloud (Dual-Certified)

AiVibe is looking for a dual-certified Cloud Professional who keeps live products fast, reliable and secure on both Amazon Web Services and Google Cloud. You will own production environments end to end — infrastructure as code, observability, incident response and AI/ML model operations — and work with our cloud partner teams to deliver outcomes for the customers of the AiAmbA AI Factory, AiVedha and our enterprise programmes.

Location: Chennai, India
Employment: Full-time
Experience: Hands-on experience supporting live products on both AWS and Google Cloud
Compensation: Competitive, based on experience

What you will do

Operate, monitor and continuously improve live production workloads on AWS and Google Cloud, owning their availability, performance, cost and security posture.
Apply site reliability engineering practices: define SLIs, SLOs and error budgets, run on-call and incident response, lead blameless post-incident reviews and drive every follow-up to closure.
Build and maintain infrastructure as code (Terraform, AWS CloudFormation or CDK, or equivalent) and CI/CD pipelines with automated tests, policy checks and safe, reversible rollouts.
Run AI/ML model operations: deploy, version, scale and monitor models and inference endpoints (for example Amazon SageMaker, Amazon Bedrock and Google Vertex AI), including drift, latency and cost monitoring.
Design and run observability — metrics, logs, traces and actionable alerting — with Amazon CloudWatch, Google Cloud Observability, OpenTelemetry and Prometheus/Grafana.
Keep environments aligned with ISO 27001:2022 controls: identity and access management, network segmentation, encryption, secrets management, backups and tested disaster recovery.
Engage with AWS and Google Cloud partner teams on architecture reviews, partner programme requirements and joint customer engagements, representing AiVibe professionally.
Write runbooks, architecture decision records and clean handovers, and mentor engineers on cloud and reliability practice.

What you bring

Current professional certifications on both AWS and Google Cloud — for example AWS Certified Solutions Architect, SysOps Administrator or DevOps Engineer, together with Google Cloud Professional Cloud Architect, Cloud DevOps Engineer or Machine Learning Engineer.
Hands-on experience supporting live, customer-facing products in production on both AWS and Google Cloud.
Working command of reliability (SRE) practices: SLOs and error budgets, incident management, capacity planning and toil reduction.
Experience operating AI/ML workloads in production: model deployment, monitoring, retraining pipelines and accelerator cost control.
Strong Linux, networking (VPC, DNS, load balancing, CDN) and container skills, including Kubernetes on Amazon EKS or Google GKE.
Scripting or programming in at least one of Python, Go, TypeScript or Bash.
Exposure to partner engagement with cloud providers, ISV programmes or technology partners.
Clear written and spoken English, and calm, structured communication during incidents.

Nice to have

Kubernetes certifications (CKA or CKAD).
Security certifications such as AWS Certified Security – Specialty or Google Professional Cloud Security Engineer.
Multi-cloud networking and identity federation experience.
FinOps practice and cost optimisation at scale.
Exposure to industrial IoT and edge AI workloads.

What we offer

Competitive compensation, based on experience.
Ownership of the production platforms behind AiVibe's AI Factory and SaaS products.
Support for certifications and training across the AWS, Google Cloud and NVIDIA ecosystems.
Work in an ISO 27001:2022 certified company that is part of NVIDIA Inception, Microsoft for Startups and AWS Activate.
A culture of ownership, learning and purposeful innovation.

AI Factory — Implementation, Development & Support

AI Factory Field Implementation Engineer

Join the team that takes the AiAmbA AI Factory onto real production floors. As a Field Implementation Engineer you will connect AI to CNC and VMC machines, configure PLCs and keep machines in peak health, working in AI Factory implementation, development or support according to the energy & performance vertical you are assigned. You will travel to customer industries in person for new developments, support and customer training.

Location: Chennai, India, with travel to customer industries
Employment: Full-time
Experience: Minimum 2 years as a machine setter running a production line
Education: BE Mechanical Engineering (minimum)
Compensation: CTC INR 7 LPA – 15 LPA, based on hands-on skill, positivity, energy, passion, ownership and leadership

Fresh graduates: Fresh graduates can join this same role, at the same package, only through campus recruitment at AiVibe partner institutions. Students and freshers cannot apply directly.

Campus partnership program

What you will do

Program and fine-tune CNC and VMC controllers — Siemens, Fanuc and Mitsubishi — including part programs, offsets, parameters and cycle-time optimisation.
Select and set up tooling: tool holders, inserts, cutting parameters, tool life and work-holding for consistent quality and throughput.
Configure and reprogram PLCs for machine integration, interlocks, signals and data acquisition for the AI Factory platform.
Carry out full, deep preventive maintenance of CNC and VMC machines independently — mechanical, electrical, hydraulic, pneumatic and lubrication systems — with no extra support.
Deliver AI Factory implementation, development or support work as per the energy & performance vertical assigned to you: commissioning, integration, troubleshooting and performance tuning.
Travel to customer industries in person for new development, on-site support and hands-on customer training.
Record machine health, energy and performance data, and report findings and improvements clearly to customers and the AiVibe engineering team.
Follow shop-floor safety, 5S and quality practices at every customer site.

What you bring

BE in Mechanical Engineering (minimum qualification).
Minimum 2 years as a machine setter running a production line.
Hands-on programming of CNC and VMC controllers: Siemens, Fanuc and Mitsubishi.
Strong tooling knowledge for turning and milling operations.
PLC configuration and reprogramming experience.
Strong hands-on experience doing full, deep preventive maintenance of any CNC or VMC machine independently, with no extra support.
Ready to travel to customer industries in person for new development, support or customer training.
Positivity, energy, passion for machines, ownership and leadership on the shop floor.

Nice to have

Exposure to industrial IoT, sensors and machine data acquisition (OPC UA, MTConnect, Modbus).
Energy monitoring and OEE improvement experience.
Basic CAD/CAM knowledge.
Ability to train shop-floor teams in English and at least one Indian language.

What we offer

CTC of INR 7 LPA to 15 LPA, based on hands-on skill, positivity, energy, passion, ownership and leadership.
Hands-on work bringing AI to real production lines across industries.
Training on the AiAmbA AI Factory platform and industrial AI.
Growth into implementation leadership as the AI Factory scales.