About CodeRoad CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape. About the Role We’re looking for a Junior Agentic AI Engineer to co-build next-generation AI systems powered by RAG and agent-based architectures. You’ll work hands-on designing intelligent workflows, connecting LLMs with real data, and contributing to production-ready AI tools. This is not a “prompting-only” role — you’ll be coding, integrating, testing, and learning fast in a real-world AI environment. Key Responsibilities - Co-develop RAG pipelines and agentic workflows for real business use cases - Implement vector search, chunking strategies, and prompt orchestration - Integrate LLMs with APIs, databases, and external systems - Contribute to model deployment, monitoring, and evaluation pipelines - Write clean, maintainable code and support testing (unit & integration) - Collaborate with senior engineers on system design and improvements Requirements - 1–3 years of experience with Python and backend development - Hands-on exposure to LLM-based applications or AI tooling - Experience with: LangChain / LangGraph, FastAPI and REST APIs, SQL databases - Understanding of: RAG concepts and vector databases, Prompt engineering basics (ReAct, guardrails) - Familiarity with Docker and modern dev workflows - Strong problem-solving mindset and willingness to learn fast - Advanced English for working with US teams Nice to Have - Experience with MLFlow or evaluation frameworks - Exposure to embeddings (dense/sparse) and NLP preprocessing - Azure ecosystem (Blob Storage, Container Apps) - Memory frameworks for agentic systems What You’ll Love - 100% Remote - Holidays off - Paid Time Off - Health insurance assistance program - Competitive USD compensation - Strong team culture and collaborative environment - Ongoing training and growth opportunities

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, and Equipment Monitoring. 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: Do you get excited about creating high-impact AI applications that employees rely on every day? Samsara’s Integrations, Data Engineering, and AI (IDEA) team is a key part of Samsara’s Business Technology organization, driving innovation through data and AI. Our mission is to empower and enable everyone at Samsara with AI-powered tools and capabilities so they can get their work done more effectively. We bridge technology, innovation, and business needs to infuse AI-powered solutions into our organization. We are looking for a hands-on AI Engineer to build, ship, and scale Samsara’s AI applications and capabilities end-to-end. As an AI Engineer IV, you’ll own the full lifecycle of AI-powered systems — from initial design and prototyping to production deployment, monitoring, and iteration. You will collaborate with architects, engineers, and cross-functional stakeholders across Samsara to brainstorm, design, rapidly prototype, and productionalize AI-driven features and capabilities that integrate deeply into real business workflows. This role is open to candidates residing in the US or Canada except Alaska, Austin Metro, Boulder Metro, California, Chicago Metro, Connecticut, Dallas Metro, Denver Metro, Houston Metro, Maryland, Massachusetts, New Jersey, New York, Rhode Island, Seattle Metro, and Washington, D.C. 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 mastery of your craft in a hyper-growth environment. - You are 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-caliber team that will encourage you to do your best. In this role, you will: - Build, ship, and own end-to-end AI-powered applications, from ideation and prototyping through production deployment, monitoring, and ongoing iteration. - Architect and scale company-wide GenAI capabilities and domain-specific business applications that are embedded into real operational workflows. - Design and integrate AI solutions with internal systems and third-party platforms, including SaaS tools, APIs, data platforms, and enterprise systems. - Develop and launch AI-powered solutions to improve efficiency and personalization across business functions such as Customer Support, People/HR, Legal, and Finance. - Collaborate closely with top-tier engineers, data scientists, and business users in a fast-moving environment. - Apply and scale software engineering excellence, including reliability, observability, and maintainability of production AI systems. Minimum Requirements for the role: - Bachelor’s or Master’s degree in Computer Science or related Engineering discipline. - 5+ years of industry experience in software engineering or AI product development, including - 3+ years of experience owning the development, testing, deployment, monitoring, and support of web applications and backend APIs. - 1+ year of experience building and deploying production-ready Generative AI solutions, with responsibility for reliability and performance. - Strong expertise in Python and AI/ML fundamentals, particularly Generative AI solutions (e.g., LLMs, vector databases, prompt engineering, embeddings, RAG systems). - Experience with AI agent development frameworks and tooling (e.g., LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI SDK, MCP, A2A). An ideal candidate is: - Experienced in 0→1 MVP development, iterative prototyping, and evolving prototypes into production-grade systems. - Passionate about staying up to date with industry news, AI development trends, tools, and best practices. - Knowledgeable about SDLC best practices and actively experiments with and adopts modern AI development tools and patterns. - An excellent communicator with the ability to work effectively in cross-functional settings and translate business needs into technical solutions. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $101,745—$136,800 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

Role Description Instacart's Caper team is building AI-powered checkout experiences for in-store shopping. Basket Intelligence is a core functionality of the Caper smart carts, allowing us to unlock use cases in all domains (Shopping Experience, Incentives, Anti-Theft, Indoor Location). Our goal is to continuously improve basket understanding, and for that we are using more and more Computer Vision and AI technologies to ensure accuracy. The CV/AI: Visual Recognition group is at the center of that mission, building computer vision models and the infrastructure to support all domains in expanding their understanding of the customer basket. As a Staff CV/AI Engineer, you’ll: - Invent and build novel CV models and algorithms from scratch — detection, classification, tracking, and multi-sensor fusion. - Own end-to-end data infrastructure: design and operate labeling pipelines, curation strategies, active learning loops, and annotation quality controls. - Own the model-to-device pipeline: optimize models for Caper’s edge hardware using quantization, pruning, TensorRT/ONNX, and CUDA-level tuning. - Partner with AI Infrastructure and Instacart’s ML platform teams to define where and how models run. - Translate business goals into system requirements; define metrics and run rigorous offline and online experiments. - Define technical strategy and roadmap for CV/AI; serve as the primary technical voice in cross-functional decisions. - Establish engineering standards for model development and deployment that scale org-wide. - Ensure in-store image and video systems are designed with privacy, security, and compliance requirements built in. Qualifications - 8+ years owning end-to-end computer vision or deep learning systems in production. - Bachelor’s in Computer Science, Electrical Engineering, or related field, or equivalent experience. - Demonstrated ability to design and ship novel CV architectures using Python and PyTorch (or TensorFlow). - Proven ownership of the model-to-device pipeline. - Led the design and operation of large-scale data and labeling pipelines. - Track record of framing ambiguous business problems as tractable engineering workstreams. - Owned distributed training and inference infrastructure on cloud/GPU platforms. - Established engineering standards and shaped technical direction across teams. Requirements - Graduate degree (MS or PhD) in Computer Vision, Machine Learning, Robotics, or related field. - Experience with multi-modal perception and sensor fusion for product identification and tracking. - Background in retail, point-of-sale, or fraud/shrink detection systems. - Strong MLOps experience. - Low-level performance expertise: custom CUDA kernels, graph optimization, NVIDIA GPU tooling. - Demonstrated 0-to-1 track record. - Experience with model evaluation platforms and pipelines. Benefits - Highly market-competitive compensation and benefits. - Remote work flexibility. - New hire equity grant and annual refresh grants.

• Own the end-to-end delivery of production-ready LLM services • Turn complex data into fast, reliable, and grounded recommendations at scale • Build and operate the core AI systems that power our platform with production-grade performance