Responsibilities
- Drive architecture discussions, design and code reviews and provide timely feedback
- Proactively research and investigate external products and technologies identifying emerging trends and revise software development best practices to take advantage of these
- Implement and evolve critical components of our architecture
- Drive engineering excellence for the orgs in India and raise the bar on engineering metrics
- Contribute to hiring strong and diverse talent to strengthen the team
- 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
- 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
- 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
- 12+ years of professional server development experience using Java, Python and other similar object-oriented languages
- Experience in building AI applications and architectures
- Experience with modern AI tools, AnyScale, LLM Orchestrators and Architectures
- Hands-on experience with leading ML frameworks, including TensorFlow and PyTorch
- Familiarity with infrastructure and orchestration tools such as MLflow, Kubeflow, Airflow, and Ray
- Proficient in working with popular APIs and libraries like Hugging Face, OpenAI, and LangChain
- Experience with managed ML services such as Vertex AI and SageMaker
- Knowledge of generative AI concepts and tools such as Transformers, embeddings, and prompt engineering strategies, fine-tuning vs. prompt-tuning techniques, Vector databases and retrieval-augmented generation (RAG) systems
- Strong understanding of web-based architecture - web servers, load balancing, caching, databases, etc
- Proven track record of developing applications for performance and scale that are widely used
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
What We Do
Clari's market-leading Revenue Platform helps go-to-market teams of every size and stripe take control of their entire sales process and revenue operation. With Clari’s Revenue Platform, all revenue-critical employees now have an enterprise system to run revenue. Forecasting, pipeline management, conversation intelligence, deal execution, coaching, and buyer collaboration (to name a few) are a maze of challenges made simple with Clari. Thousands of teams at leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision.
Why Work With Us
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 nurturing and inclusive environment. Efforts have to be recognized. Voices have to be heard. And work-life balance has to be baked into the very fiber of the company. We’d love to have you!
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Clari Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.


















