Job Description Overview We are seeking a skilled Backend Engineer with ~1 year of experience in building robust, scalable APIs using FastAPI . You will play a key role in designing, developing, and maintaining high-performance backend systems that power our applications, ensuring reliability, security, and efficiency. If you’re passionate about creating seamless backend solutions and thrive in a collaborative, fast-paced environment, we’d love to hear from you! Key Responsibilities Design, develop, and maintain RESTful APIs using FastAPI, ensuring scalability and performance for high-traffic applications. Implement asynchronous programming patterns to handle concurrent workloads effectively. Integrate with SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) databases, optimizing queries and data models. Collaborate with frontend developers, DevOps, and product teams to ensure seamless system integration and deployment. Write clean, testable code with unit tests (e.g., pytest, Jest) and maintain high test coverage. Implement security best practices, including input validation, authentication (e.g., JWT), and protection against vulnerabilities. Deploy and monitor applications using containerization (e.g., Docker) and cloud platforms (e.g., AWS, GCP, Azure). Debug and resolve complex technical issues in production environments. Contribute to system design discussions, proposing scalable architectures and optimization strategies. Stay updated on backend development trends and apply best practices to improve team workflows. Qualifications ~1 year of professional experience as a Backend Engineer, with hands-on expertise in FastAPI . Proven ability to build and deploy production-grade APIs handling real-time user traffic (a "yes" to having successfully delivered scalable systems is expected). Strong understanding of asynchronous programming (e.g., async/await in FastAPI, Promises ). Experience with database management (SQL/NoSQL) and integration with third-party APIs or services. Familiarity with containerization (Docker) and cloud deployment (AWS, GCP, or Azure). Proficiency in writing unit tests and ensuring code quality using frameworks like pytest or Jest. Knowledge of security best practices for backend development (e.g., JWT, input sanitization). Strong problem-solving skills and experience debugging complex issues in production. Excellent collaboration and communication skills to work effectively in cross-functional teams. Bonus: Experience with microservices, caching (e.g., Redis), or CI/CD pipelines. Why Join Us? Work on cutting-edge projects with a talented, innovative team. Opportunity to grow your skills in a supportive, tech-driven environment. Competitive salary, benefits, and flexible work arrangements. Contribute to impactful solutions that reach a global audience.
As a Content Editor Intern at ClearSpot AI, you will work closely with the content and creative teams to curate, edit, and enhance digital content, with a primary focus on video creation. Your role will involve using InVideo's platform to create engaging content, manage video editing projects, and contribute to content strategies that resonate with our audience. Key Responsibilities: Video Editing: Utilize InVideo's online editor to edit, create, and optimize video content for various platforms, including social media, YouTube, and marketing c ampaigns.Conte Creation: Assist in brainstorming, developing, and scripting video ideas and other forms of content based on current trends and audience interests. Content Optimization: Help ensure content is optimized for SEO, audience engagement, and platform-specific requirements. Collaboration: Work closely with the design, marketing, and content teams to produce cohesive content strategies that align with ClearSpot AI’s brand. Research & Trends: Stay up-to-date on the latest content trends and video editing techniques, and propose new content ideas based on research. Quality Control: Review and proofread content for consistency, accuracy, and quality before publishing or distribution. Required Skills and Qualifications: Proficiency in video editing tools (familiarity with InVideo or similar platforms is a plus). Strong understanding of video production processes, including scripting, editing, and final delivery. Basic knowledge of content optimization for social media platforms and SEO. Creativity and attention to detail in visual storytelling. Good communication and organizational skills. Ability to work collaboratively in a fast-paced, deadline-driven environment. An interest in AI-driven content tools and digital content creation. Preferred Skills (Optional): Previous experience with video editing software such as Adobe Premiere Pro, Final Cut Pro, or similar. Familiarity with AI-driven content creation tools. A keen eye for design, visual aesthetics, and branding. Understanding of analytics and metrics related to content performance. Educational Qualifications: Currently pursuing or recently completed a degree in Communications, Media, Film Production, Digital Marketing, or a related field.
Company Description ClearSpot transforms solar energy asset management with Edge AI, incorporating computer vision, multi-sensor fusion, and agentic orchestration to optimize performance. Our on-site platform ingests high-resolution imagery and real-time sensor data, processes it at the network edge, and provides actionable insights through live dashboards, anomaly alerts, and MW-loss quantification. Additionally, our AI autonomously orchestrates drone and actuator fleets, generating mission plans and assigning flight paths with minimal human intervention. ClearSpot's advanced capabilities include real-time drone inspections, deep learning defect recognition, multi-sensor fusion, and agentic task coordination, all aimed at maximizing uptime and ROI across solar farms and energy infrastructures. Role Description This is a part-time remote role for a Google Ads Campaign Manager. The Google Ads Campaign Manager will be responsible for managing and optimizing Google Ads campaigns to achieve performance goals. Daily tasks include setting up, monitoring, and adjusting ad campaigns, conducting keyword research, analyzing data for performance insights, and providing recommendations for improvement. Collaboration with the sales and marketing teams to align campaign strategies with business objectives is also essential. Qualifications Experience in Campaign Management and Campaigns Strong Communication skills, both written and verbal Project Management skills Sales experience or knowledge Proficiency in Google Ads and other online advertising platforms Analytical skills to interpret data and generate insights Ability to work independently and remotely Bachelor's degree in Marketing, Business, or related field is preferred
We are looking for an AWS Cloud DevOps Expert who can design, deploy, and manage secure, scalable, and cost-efficient cloud solutions. You will be responsible for automating infrastructure, building CI/CD pipelines, and enabling high-performance applications and data workflows on AWS.Key Responsibilities • Provision and manage AWS services: EC2, VPC, S3, RDS, Redshift, Lambda, Glue, API Gateway, Step Functions, CloudFront, etc. • Build and maintain CI/CD pipelines (CodePipeline, Jenkins, GitHub Actions, CodeBuild/CodeDeploy). • Implement serverless and containerized architectures (Lambda, ECS, EKS, Docker, Kubernetes). • Manage IAM roles, policies, permissions and ensure compliance with AWS security best practices. • Automate deployments using Terraform/CloudFormation and scripting (Python, Bash). • Set up monitoring & logging (CloudWatch, Prometheus, Grafana, ELK). • Support data pipelines and ETL workflows with AWS Glue, S3, and Redshift. • Optimize infrastructure for scalability, cost, and reliability.Skills & Qualifications • Strong hands-on expertise with AWS cloud services & DevOps practices. • Experience with CI/CD, IaC, and automation tools. • Proficiency in scripting (Python/Bash) and containerization (Docker, Kubernetes). • Knowledge of monitoring, logging, and security compliance. • AWS certifications (Solutions Architect, DevOps Engineer, SysOps) preferred.Soft Skills • Strong problem-solving and analytical mindset. • Excellent communication and teamwork. • Ability to thrive in fast-paced, agile environments.
Company Description ClearSpot is advancing the field of Edge AI with a particular emphasis on computer vision, an area poised to bring substantial transformation across various industries. Our approach emphasizes the power of localized processing, enabling devices to analyze and interpret visual data on-site in real time. This technology is not confined to one sector; its applications are as diverse as they are revolutionary. From real-time quality assurance on manufacturing lines to advanced anomaly detection in remote infrastructure, computer vision combined with Edge AI allows for rapid, informed decisions without the latency of cloud-based systems. Furthermore, our solutions in Edge AI are crafted to operate seamlessly even in environments with limited connectivity, ensuring reliability and responsiveness. We understand that every millisecond counts in data processing, which is why our services are designed to minimize latency and maximize operational efficiency. Discover the possibilities with ClearSpot's Edge AI and computer vision technology: enhancing perception, insight, and decision-making capabilities across the board. Role Description This is a full-time remote role for a Venture Capital Research Intern at ClearSpot.ai. As a Venture Capital Research Intern, you will be responsible for conducting market research and analysis to identify potential investment opportunities in cutting-edge technology startups. You will help identify market trends, evaluate business models, and perform due diligence on potential investments. You will also be able to support the investment team in portfolio management activities and help with preparing investment materials and reports. Qualifications Solid understanding of venture capital and startup ecosystem Strong analytical and research skills Excellent written and verbal communication skills Ability to work independently and collaboratively within a team Detail-oriented and organized Proficiency in Microsoft Office Suite Knowledge of financial modeling and valuation techniques is a plus Background in business, finance, economics, or related field Prior experience or coursework in venture capital or private equity is a plus
Company Description ClearSpot is advancing the field of Edge AI with a particular emphasis on computer vision, an area poised to bring substantial transformation across various industries. Our approach emphasizes the power of localized processing, enabling devices to analyze and interpret visual data on-site in real time. This technology is not confined to one sector; its applications are as diverse as they are revolutionary. From real-time quality assurance on manufacturing lines to advanced anomaly detection in remote infrastructure, computer vision combined with Edge AI allows for rapid, informed decisions without the latency of cloud-based systems. Furthermore, our solutions in Edge AI are crafted to operate seamlessly even in environments with limited connectivity, ensuring reliability and responsiveness. We understand that every millisecond counts in data processing, which is why our services are designed to minimize latency and maximize operational efficiency. Discover the possibilities with ClearSpot's Edge AI and computer vision technology: enhancing perception, insight, and decision-making capabilities across the board. Role Description This is a full-time remote role for a Venture Capital Research Intern at ClearSpot.ai. As a Venture Capital Research Intern, you will be responsible for conducting market research and analysis to identify potential investment opportunities in cutting-edge technology startups. You will help identify market trends, evaluate business models, and perform due diligence on potential investments. You will also be able to support the investment team in portfolio management activities and help with preparing investment materials and reports. Qualifications Solid understanding of venture capital and startup ecosystem Strong analytical and research skills Excellent written and verbal communication skills Ability to work independently and collaboratively within a team Detail-oriented and organized Proficiency in Microsoft Office Suite Knowledge of financial modeling and valuation techniques is a plus Background in business, finance, economics, or related field Prior experience or coursework in venture capital or private equity is a plus
The ideal candidate is an energetic self-starter with the ability to identify influencers and key decision makers within accounts. You will discover qualified opportunities by responding to inbound interests and targeted outbound prospects to build rapport and establish long-term relationships. Responsibilities Drive top-of-the-funnel lead generation for account executives and sales managers Update and manage all sales activities, opportunities, and account information in CRM Consistently achieve monthly quota of qualified opportunities Qualifications Bachelor's degree in Business or a related field At least 1 - 2 years' of relevant work experience Excellent written and verbal communication skills Ability to multi-task, organize, and prioritize work
Company Description ClearSpot transforms solar energy asset management with Edge AI that integrates computer vision, multi-sensor fusion, and agentic orchestration to optimize performance. Our on-site platform ingests high-res imagery and real-time sensor data, processes it at the network edge, and delivers actionable insights through live dashboards, anomaly alerts, and MW-loss quantification. Beyond analytics, our agentic AI autonomously orchestrates drone and actuator fleets for mission planning and data capture. The result is real-time defect detection and sensor fusion insights driving preemptive maintenance to maximize uptime and ROI across solar farms and energy infrastructures. Role Description This is a remote internship role for an SEO specialist focused on LLM Prompting search at ClearSpot.ai. The intern will perform keyword research, conduct SEO audits, build links, and utilize web analytics. Additionally, responsibilities include optimizing on-page SEO elements to improve search engine rankings and drive organic traffic. Qualifications Keyword Research and On-Page SEO skills Experience in conducting SEO Audits and using Web Analytics Link Building skills Strong analytical and problem-solving abilities Excellent written and verbal communication skills Ability to work independently and remotely Interest in solar energy and Edge AI technologies is a plus Currently enrolled in or recent graduate of a related degree program (e.g. Marketing, Communications, Computer Science)
Core Technical Skills Required Programming & Frameworks Python (essential - 95% of orchestration work) Agent frameworks experience : LangChain, CrewAI, AutoGen, or LangGraph Async programming and event-driven architectures API design (REST, gRPC) and integration AI/ML Fundamentals LLM integration and prompt engineering Understanding of different model capabilities (GPT-4, Claude, etc.) RAG (Retrieval Augmented Generation) systems Vector databases and embeddings Orchestration-Specific Skills Workflow orchestration tools : Apache Airflow, Prefect, or Dagster Multi-agent coordination patterns (hierarchical, group chat, handoff) Task delegation and routing logic State management and shared memory systems System Architecture Experience Distributed Systems Microservices architecture and containerization (Docker, Kubernetes) Cloud platforms (AWS, Azure, GCP) Message queuing and event streaming (Kafka, RabbitMQ) Fault tolerance and error handling Production-Grade Requirements Observability and monitoring (logging, tracing, metrics) Security and RBAC implementation Scalability planning and load balancing CI/CD pipelines and MLOps practices Key Competencies Orchestration Architecture Patterns Sequential and concurrent task execution Agent handoff and escalation workflows Supervisor/manager patterns for multi-agent coordination Dynamic task routing based on agent capabilities Problem-Solving Abilities Breaking complex tasks into subtasks Designing agent communication protocols Conflict resolution between agents Building feedback loops and iterative refinement Experience Level & Background Minimum Experience 3-5+ years in software engineering 1-2+ years working with LLMs/AI agents Experience deploying production AI systems Ideal Background DevOps/infrastructure engineers transitioning to AI Backend engineers with distributed systems experience ML engineers with production deployment experience Software architects with AI/ML knowledge Soft Skills & Mindset Systems thinking : Understanding how autonomous components interact Iterative development : Comfortable with experimentation and refinement Cross-functional collaboration : Working with data scientists, product teams, stakeholders Documentation : Clear technical writing for complex systems Why This Profile Works This combination is optimal because orchestration agents require: Deep technical expertise to handle complex coordination logic Production engineering skills to ensure reliability and scale AI/LLM knowledge to optimize agent capabilities Architecture experience to design maintainable systems The profile bridges traditional software engineering with modern AI capabilities—someone who can both architect distributed systems AND understand how to make multiple AI agents collaborate effectively.