Full Stack Engineer

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

We at Samsara

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.

You should apply if:

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

  Your efforts will result in real-world impact—helping 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 won’t 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:

• Contribute to the design, development, and deployment of features and applications within our Post-Sales systems ecosystem.
• Learn and apply prompt and context engineering techniques to improve the effectiveness of AI-powered features.
• Assist in the development and testing of Retrieval-Augmented Generation (RAG) systems.
• Learn and utilize AI agentic frameworks (e.g., LangChain, LangGraph, LlamaIndex) to help build and test intelligent agents.
• Assist in developing and maintaining back-end services and APIs that power our solutions.
• Collaborate with Product Managers and senior developers to understand requirements and contribute to technical solutions.
• Work with and learn about large language models (LLMs), vector databases, and other machine learning technologies.
• Follow and contribute to best practices in software development, including code quality, testing, and CI/CD.
• Collaborate with and learn from senior developers in a supportive team environment.
• 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:

• 3-5 years of software development experience.
• Demonstrated interest or project experience in AI/ML applications (university, personal projects, or professional).
• 2+ years of experience with Python and/or JavaScript.
• A strong desire to learn and apply concepts like prompt engineering, context engineering, and RAG.
• Familiarity with or a strong desire to learn AI frameworks like LangChain, LangGraph, or similar technologies.
• Experience building or consuming RESTful APIs.
• Strong problem-solving skills and the ability to contribute to complex solutions under guidance.
• BS in Computer Science/Engineering, or equivalent 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.
• Exposure to public cloud platforms (AWS, Azure, GCP).
• An understanding of concepts like vector databases.
• Strong communication and collaboration skills.