The role involves architecting scalable AI platforms, implementing CI/CD for ML workflows, optimizing generative AI technologies, and collaborating with various teams to enhance AI initiatives.
Clari’s Revenue platform gives forecasting accuracy and visibility from the sales rep to the board room on revenue performance - helping them spot revenue leak to answer if they will meet, beat, or miss their sales goals. With insights like this, no wonder leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision. We never get tired of our customers singing our praises because it fuels us to help them continue to achieve remarkable. The next generation of revenue excellence is here…are you ready to achieve remarkable with us?
About the Team
The Engineering Team at Clari is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.
About the Role
Clari is looking for experienced Staff Engineers who can help realize Clari’s vision with their passion and proven track record of excellence and innovation. We are looking for engineers who are passionate about their work and who thrive working on leading-edge cloud-based technologies to develop ground-breaking AI-driven enterprise-grade applications.
This is a hybrid position, which will require the ability to be onsite in our Bengaluru, India office as needed. Candidates must be based in India.
Responsibilities
- Architect and maintain scalable, reusable AI platforms and tools that support the entire AI lifecycle, including data ingestion, model training or fine-tuning, evaluation, deployment, and monitoring for both traditional and generative AI models.
- Build standardized, production-ready AI workflows and templates using tools like Airflow and MLflow to enable rapid experimentation and deployment
- Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI
- Optimize genAI technologies, including transformers, embeddings, vector databases, and real-time retrieval-augmented generation (RAG) systems
- Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices
- Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation
- Integrate infrastructure components such as Kubernetes orchestration, Ray and cloud solutions (AWS/Azure) for robust production environments
- Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques (batching, caching, quantization), fine-tuning, prompt management, and model updates at scale
- Partner with data engineering, product, infrastructure, and other stakeholder teams to align AI platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap
- Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement
Qualifications
- Software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads
- Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain)
- Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools (Terraform, Helm)
- Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed ML services (e.g., Vertex AI, SageMaker)
- Proven experience with generative AI technologies: transformers, embeddings, prompt engineering strategies, fine-tuning vs. prompt-tuning, vector databases, and retrieval-augmented generation (RAG) systems
- Experience designing and maintaining real-time inference pipelines, including integrations with feature stores, streaming data platforms (Kafka, Kinesis), and observability platforms
- Familiarity with SQL and data warehouse modeling; capable of managing complex data queries, joins, aggregations, and transformations
- Solid understanding of ML monitoring, including identifying model drift, decay, latency optimization, cost management, and scaling API-based genAI applications efficiently
Perks and Benefits @ Clari
- Flexible working hours and hybrid work opportunities
- Life and accidental coverage
- Mental health support provided by Silver Oak Health
- Pre-IPO stock options
- Well-being and professional development stipends
- 100% paid parental leave
- Discretionary paid time off, monthly ‘take a break’ days, and Focus Fridays
- Focus on culture: Charitable giving match, plus in-person and virtual events
#LI-Hybrid
You’ll often hear our CEO talk about being remarkable. To Clari, remarkable means many things. We believe in providing interesting and meaningful work in a supportive and inclusive environment - free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status.
Clari focuses on culture add, not culture fit, and believe we are made stronger by what makes you unique. If you are passionate about learning and excited about what we are doing, then we want to hear from you!
At Clari, we are excited to welcome talented individuals to our growing team. We are actively hiring across multiple geographies and encourage you to explore opportunities on our careers page that interest you.
Please note that all official communication regarding job opportunities at Clari will come from an @clari.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Clari Careers site.
Top Skills
AWS
Docker
GCP
Helm
Kafka
Kinesis
Kubeflow
Kubernetes
Mlflow
Python
PyTorch
Ray
SQL
TensorFlow
Terraform
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