Company Description KODEJAMS TECHNOLOGIES PRIVATE LIMITED is a trusted IT consulting and recruitment partner for U.S. businesses, renowned for delivering tailored technology solutions with precision and care. We are committed to excellence in service and fostering a positive, empowering work culture that drives innovation, collaboration, and long-term success—for our clients and our team alike. Role Description This is a full-time remote role for a Product Support L1 – SaaS Platform. The Product Support L1 will be responsible for providing first-level product support, assisting customers with their inquiries and issues, and ensuring customer satisfaction. Day-to-day tasks include troubleshooting software problems, analyzing customer queries, and documenting solutions for recurring issues. Excellent communication and analytical skills are essential for this role. Qualifications Product Support and Customer Support skills Strong Analytical Skills Ability to ensure Customer Satisfaction Excellent Communication skills Ability to work independently and remotely Experience with SaaS platforms is a plus High attention to detail and problem-solving abilities
Position: Technical Product Operations Specialist Type: Full-Time Location: Remote Kodejams Technologies is seeking a highly skilled Technical Product Operations Specialist to support our growing SaaS platform. This role sits at the intersection of product support, client success, and product operations. You will work closely with product, engineering, and client teams to ensure users understand and gain maximum value from our platform while contributing to product improvement and operational excellence. This is an ideal opportunity for someone who understands the technical depth of SaaS products, can communicate effectively with both technical and non-technical stakeholders, and has a passion for clear, precise technical writing. Key Responsibilities Act as a subject matter expert on product functionality and backend processes to support clients effectively. Manage L1 and L2 client escalations, providing thorough troubleshooting, clear resolutions, and detailed documentation. Work alongside product managers and engineering teams to replicate, analyze, and document technical issues while contributing to continuous improvement efforts. Create and maintain high-quality technical documentation, including user guides, API documentation, FAQs, internal manuals, and knowledge base articles. Conduct training sessions and produce educational resources to ensure both internal teams and clients fully understand platform features and best practices. Utilize SQL for data analysis, troubleshooting, report generation, and validation during support processes. Leverage REST APIs for troubleshooting integration-related issues and assisting with technical inquiries. Perform feature validation and contribute to QA processes by running usability and quality checks. Analyze data to produce reports on product usage, customer feedback, recurring issues, and operational performance. Required Skills and Qualifications Strong verbal and written communication skills, with the ability to simplify complex technical concepts for diverse audiences. Proven analytical and problem-solving abilities with keen attention to detail. Hands-on experience working with SaaS platforms, SQL, REST APIs, and web technologies. Demonstrated experience in creating technical content for end-users and internal teams. Familiarity with tools such as Jira, Freshdesk/Zendesk, Postman, and browser developer tools. Preferred Qualifications Experience in SaaS startups or agile environments. Exposure to QA processes and automation tools such as Selenium or Cypress. Familiarity with business intelligence or data visualization platforms. Why Join Us Remote-first and collaborative work culture. Opportunity to grow into roles in product management, analytics, or customer success. Direct exposure to impactful projects across cross-functional teams. To apply, please share your updated resume at shalaj@kodejams.com.
Job Title: Rust Developer - Edge Computing Specialist Location-India Employment Type -Full-Time (100% Remote) About the Role We are seeking a highly motivated and skilled Rust Developer to join our team in building secure, high-performance applications at the edge. This role is ideal for a systems-level programmer who thrives on solving complex problems at scale, with deep attention to performance, latency, and memory efficiency. The ideal candidate will also bring strong interpersonal and communication skills to collaborate effectively across cross-functional and distributed teams. Key Responsibilities · Design, implement, and maintain high-performance services and systems in Rust targeting edge · environments. · Optimize code for performance, memory usage, and reliability under edge computing constraints. · Integrate and interface with IoT platforms, container runtimes (e.g., Wasm, Docker), and distributed · systems. · Collaborate with product managers, designers, and other engineers to deliver scalable and · maintainable solutions. · Write clean, testable, and efficient code with a focus on security and fault tolerance. · Contribute to architectural decisions and lead code reviews. · Clearly communicate complex technical concepts to both technical and non-technical stakeholders. Requirements - Technical Skills – 3+ years of experience with Rust in production-grade environments. Proven experience in Edge Computing, such as working with: IoT devices - CDN edge platforms (e.g., Cloudflare Workers, Fastly Compute@Edge) WASM runtimes (e.g., Wasmtime, Wasmer) Strong understanding of systems programming, concurrency, and memory management. Familiarity with networking protocols (TCP/UDP, HTTP/2, QUIC, gRPC). Experience with real-time data processing or streaming (bonus: Apache Arrow, NATS, MQTT). Requirements - Communication & Collaboration - Excellent verbal and written communication skills. Strong documentation habits-able to produce technical specs, guides, and proposals. Ability to engage in constructive technical debate and translate business requirements into technical goals. Nice to Have – Contributions to open-source Rust or Edge Computing projects. Exposure to DevOps tooling (e.g., GitHub Actions, Nomad, Terraform). Experience with cross-compilation, embedded systems, or mobile edge environments. What We Offer - Competitive salary and benefits - Flexible work hours and remote-first culture - Opportunity to work on cutting-edge edge computing infrastructure - Collaborative, fast-paced environment with a mission-driven team - Learning and development budget for conferences, courses, and tools
Job Title: AI Engineer – PropTech | Recommendation Systems, Predictive Analytics Location: 100% Remote (Work from Anywhere) Job Type: Full-Time Team: AI/ML Engineering Experience Level: Mid to Senior Level About the Role We're seeking a results-oriented AI Engineer to help transform how real estate and property management work through cutting-edge AI solutions. In this remote role, you will lead efforts in building recommendation engines , predictive models , and automation frameworks that power intelligent decision-making for our platform. Key Responsibilities Design and implement AI-driven solutions for property recommendations, pricing models, tenant screening, and predictive maintenance. Develop, train, and deploy machine learning models at scale using Python, TensorFlow, PyTorch, or similar frameworks. Build intelligent recommendation engines using user behavior, property features, and contextual data. Collaborate with data engineers to ensure clean, high-quality datasets for model training and evaluation. Optimize ML pipelines for performance, scalability, and low latency. Work closely with product, design, and engineering teams to translate business needs into AI-powered features. Monitor model performance and iterate to improve accuracy, fairness, and relevance. Maintain best practices for reproducibility, version control, and documentation of models and experiments. Requirements – Technical Skills 3+ years of experience building and deploying machine learning models in production. Strong background in recommendation systems, predictive analytics, or deep learning. Proficiency in Python and ML libraries like scikit-learn, TensorFlow, PyTorch, XGBoost, etc. Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools (MLflow, SageMaker, Vertex AI, etc.). Solid understanding of statistics, feature engineering, model evaluation, and algorithm selection. Familiarity with data structures, RESTful APIs, and containerization (Docker/Kubernetes). Bonus: Experience with graph-based models or NLP for property-related applications. Requirements – Collaboration & Communication Ability to work independently in a remote team environment. Strong written and verbal communication skills. Clear documentation and ability to explain technical concepts to non-technical stakeholders. Nice to Have Experience in PropTech or real estate tech platforms. Exposure to computer vision models (e.g., for floor plan or image analysis). Contributions to open-source AI/ML projects. Understanding of data privacy and ethical AI principles. What We Offer Competitive salary and performance bonuses Flexible working hours and a fully remote team Opportunity to innovate in a high-impact industry Annual learning & development budget A fast-paced, collaborative, and mission-driven culture