Principal Engineer - Full Stack

About the role:

We at Samsara Technologies India Private Limited

You will collaborate with teams across Customer Support and other technical teams, transforming abstract concepts into production-ready AI solutions. This role requires both hands-on coding and strategic thinking to ensure our systems are not only intelligent but also scalable, reliable, and secure.

This is a hybrid position requiring 2 days per week in our Bengaluru office and 3 days working remotely, open to candidates based in India. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world:

  Your efforts will result in real-world impacthelping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.

• You are the architect of your own career:

  If you put in the work, this role wont be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.

• You’re energized by our opportunity:

  The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.

• You want to be with the best:

  At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will:

• Design, develop, and deploy end-to-end AI-powered features and applications, including sophisticated AI Agents, within our Post-Sales systems ecosystem.
• Apply advanced prompt and context engineering techniques to optimize the performance, accuracy, and reliability of large language models (LLMs).
• Architect and implement Retrieval-Augmented Generation (RAG) systems to ground AI responses in specific, up-to-date knowledge bases.
• Utilize AI agentic frameworks (e.g., LangChain, LangGraph, LlamaIndex) to build, test, and scale intelligent agents that can perform complex tasks.
• Develop and maintain robust back-end services and APIs that power our AI solutions, ensuring seamless integration with our core platforms like Zendesk and other third party systems.
• Champion best practices in software development, including code quality, testing, CI/CD, and system observability, within the context of AI application development.
• Mentor junior developers and contribute to a culture of innovation and continuous learning within the team.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 10+ years of software development experience building and scaling enterprise-level, customer-facing products and services.
• 3+ years of experience with Python and/or JavaScript for back-end and AI development.
• 2+ years of hands-on experience developing AI-powered applications, with a strong understanding of machine learning concepts and large language models (LLMs).
• Proven experience with prompt engineering, context engineering, and implementing RAG systems.
• Experience with one or more AI agentic frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
• Experience building and consuming RESTful APIs and working with microservices architecture.
• Strong problem-solving skills with the ability to design and implement complex, scalable, and maintainable solutions.
• BS/MS in Computer Science/Engineering, or equivalent technical experience.

An ideal candidate also has:

• Experience with front-end frameworks such as React, Vue, or Angular.
• Familiarity with Service CRM platforms like Zendesk and their APIs.
• Experience with public cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Knowledge of vector databases (e.g., Pinecone, Weaviate) and their application in AI.
• Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.