Position: Associate Technical Product Manager (IOT) Experience: 5+ years in development, with leadership experience Location: Remote Department: Product Management About the Role We are looking for an Associate Product Manager with a strong technical background in IoT development, backend systems, and databases , along with familiarity with DevOps practices . The ideal candidate will have 5+ years of hands-on development experience , including leading engineering teams, and will now transition into a product-focused role. You will work closely with engineering, design, and business teams to drive the development of scalable IoT and backend solutions. Key Responsibilities Product Strategy & Roadmap: Define and execute the product vision for IoT and backend systems, ensuring alignment with business goals. Technical Leadership: Leverage deep expertise in IoT protocols (MQTT, CoAP), cloud platforms (AWS/Azure/GCP), backend services (APIs, microservices), and databases (SQL/NoSQL) to guide engineering decisions. Cross-functional Collaboration: Work with engineering, DevOps, and QA teams to ensure seamless product development and deployment. Requirement Gathering: Translate business needs into technical specs, user stories, and actionable tasks for development teams. Performance Optimization: Monitor system performance, scalability, and reliability, suggesting improvements in architecture and DevOps pipelines. Market & Tech Research: Stay updated on IoT trends, backend technologies, and DevOps best practices to drive innovation. Agile Execution: Lead sprint planning, backlog grooming, and release management in an Agile/Scrum environment. Required Skills & Qualifications 5+ years of experience in software development, with at least 2 years in IoT and backend systems . Strong expertise in: IoT Development (embedded systems, sensor integration, edge computing). Backend Technologies (Node.js/Python/Java, REST/GraphQL APIs, microservices). Databases (PostgreSQL, MongoDB, TimescaleDB, or similar). Cloud Platforms (AWS IoT Core, Azure IoT Hub, Google Cloud IoT). Familiarity with DevOps tools (Docker, Kubernetes, CI/CD pipelines, Terraform). Experience leading development teams and mentoring engineers. Strong analytical skills with expertise in data-driven decision-making . Excellent communication skills to bridge technical and non-technical stakeholders. Preferred Qualifications Prior experience in product management or technical product ownership . Knowledge of AI/ML applications in IoT (predictive maintenance, anomaly detection). Certifications in AWS/Azure/GCP, DevOps, or IoT . Why Join Us? Opportunity to shape cutting-edge IoT and backend products. Work with a talented, cross-functional team in a fast-paced environment. Career growth in product management with a strong technical foundation.
Position: Associate Product Manager - IOT Experience: 5+ years in development, with leadership experience Location: Remote Department: Product Management About the Role We are looking for an Associate Technical Product Manager with a strong technical background in IoT development, backend systems, and databases , along with familiarity with DevOps practices. The ideal candidate will have 5+ years of hands-on development experience, including leading engineering teams, and will now transition into a product-focused role. You will work closely with engineering, design, and business teams to drive the development of scalable IoT and backend solutions. Key Responsibilities Product Strategy & Roadmap: Define and execute the product vision for IoT and backend systems, ensuring alignment with business goals. Technical Leadership: Leverage deep expertise in IoT protocols (MQTT, CoAP), cloud platforms (AWS/Azure/GCP), backend services (APIs, microservices), and databases (SQL/NoSQL) to guide engineering decisions. Cross-functional Collaboration: Work with engineering, DevOps, and QA teams to ensure seamless product development and deployment. Requirement Gathering: Translate business needs into technical specs, user stories, and actionable tasks for development teams. Performance Optimization: Monitor system performance, scalability, and reliability, suggesting improvements in architecture and DevOps pipelines. Market & Tech Research: Stay updated on IoT trends, backend technologies, and DevOps best practices to drive innovation. Agile Execution: Lead sprint planning, backlog grooming, and release management in an Agile/Scrum environment. Required Skills & Qualifications 5+ years of experience in software development, with at least 2 years in IoT and backend systems. Strong expertise in: IoT Development (embedded systems, sensor integration, edge computing). Backend Technologies ( Node.js/Python/Java, REST/GraphQL APIs, microservices ). Databases ( PostgreSQL, MongoDB, TimescaleDB , or similar). Cloud Platforms (AWS IoT Core, Azure IoT Hub, Google Cloud IoT) . Familiarity with DevOps tools (Docker, Kubernetes, CI/CD pipelines, Terraform) . Experience leading development teams and mentoring engineers. Strong analytical skills with expertise in data-driven decision-making. Excellent communication skills to bridge technical and non-technical stakeholders. Preferred Qualifications Prior experience in product management or technical product ownership. Knowledge of AI/ML applications in IoT (predictive maintenance, anomaly detection) . Certifications in AWS/Azure/GCP, DevOps, or IoT. Why Join Us? Opportunity to shape cutting-edge IoT and backend products. Work with a talented, cross-functional team in a fast-paced environment. Career growth in product management with a strong technical foundation.
Job Title: Associate VoIP Developer Required Years of Experience: 2-4 Years Location: Remote We are looking for a VoIP Engineer with 2–4 years of experience to help enhance our FreeSWITCH-based VoIP platform , which includes intelligent IVR flows, advanced call routing, agent queue management, and real-time logging. The ideal candidate should be well-versed in FreeSWITCH internals, Lua scripting, and API-driven workflows , and comfortable working in a remote, performance-driven environment. Key Responsibilities: Design, implement, and manage complex call routing logic, agent transfers, and queue handling using FreeSWITCH. Develop and maintain Lua scripts to log call metadata (duration, type, start/end time) into databases. Configure IVR menus, agent stacks, and automated call flows. Integrate and manage Azure Text-to-Speech (TTS) for reading out mobile numbers and prompts in multiple languages. Handle real-time call recording, and integrate with REST APIs to upload recordings and update call logs. Optimize voice quality using Opus codec, Speex preprocessor, and WebRTC-based echo cancellation . Implement secure and scalable WebRTC communication for both web and mobile clients. Use tools like sngrep, tcpdump to debug SIP/RTP flows and troubleshoot call quality issues. Skills Required: FreeSWITCH (Call routing, IVR, scripting) VoIP Protocols: SIP, RTP, RTCP, TLS, SRTP, WebRTC, TURN Codecs: PCMU, PCMA, G729, Opus Linux: System administration, debugging, scripting Scripting & API Integration : Lua, Python, REST APIs
Job Title: AI Architect - Custom LLM & Agent Development Required Years of Experience: 5+ Years Location: Remote Position Overview: We are seeking an exceptional AI Architect to lead the design and development of cutting-edge AI solutions, specializing in custom Large Language Models (LLMs), intelligent agent systems, and advanced AI tooling. This role requires deep expertise in modern AI frameworks, custom model development, and architecting scalable LLM-powered applications. Key Responsibilities: AI Architecture & Strategy Design and architect end-to-end LLM applications and AI-powered systems Define technical roadmaps for custom AI solution development Establish best practices and architectural patterns for LLM integration Evaluate and recommend emerging AI technologies and frameworks Lead technical decision-making for AI infrastructure and tooling Custom LLM & Speech Model Development Design, train, and fine-tune custom Large Language Models for specific use cases Build and optimize custom Speech-to-Text (STT) models using Whisper, Wav2Vec2, and other architectures Implement model optimization techniques including quantization, pruning, and distillation Develop custom tokenizers, embeddings, and model architectures for both text and speech Create evaluation frameworks and benchmarking systems for model performance Implement advanced techniques like RLHF, RAG, and multi-modal capabilities Agent & Tool Development Architect and develop sophisticated AI agents using LangChain and related frameworks Design custom AI tools and integrations for specific business requirements Build Model Context Protocol (MCP) servers for seamless AI tool connectivity Implement agentic workflows with complex reasoning and decision-making capabilities Create reusable agent templates and component libraries Technical Leadership Lead cross-functional teams in AI project delivery Mentor junior developers and AI engineers Conduct technical reviews and ensure code quality standards Collaborate with product teams to translate business requirements into technical solutions Drive innovation in AI development practices and methodologies Platform & Infrastructure Design scalable AI infrastructure for model serving and deployment Implement MLOps pipelines for model lifecycle management Optimize inference performance and cost efficiency Ensure security, privacy, and compliance in AI system design Build monitoring and observability solutions for AI applications Required Qualifications: Technical Expertise Advanced Python Development : Expert-level proficiency with 5+ years of experience NLP Specialization : Deep expertise in natural language processing, text analytics, and language understanding Speech-to-Text Models : Experience building custom STT systems using Whisper, Wav2Vec2, SpeechT5, or similar LLM Frameworks : Deep expertise in LangChain, LangGraph, and similar frameworks Model Development : Experience with PyTorch, Transformers, and custom model training AI Platforms : Proficiency with OpenAI, Anthropic, Google AI, and open-source models MCP Protocol : Experience with Model Context Protocol server development Audio Processing : Knowledge of audio preprocessing, feature extraction, and signal processing Vector Databases : Working knowledge of Pinecone, Weaviate, ChromaDB, or similar Cloud Platforms : Experience with AWS, GCP, or Azure AI services AI/ML Skills: Strong understanding of transformer architectures and attention mechanisms Experience with fine-tuning techniques (LoRA, QLoRA, full fine-tuning) NLP Expertise : Advanced knowledge of tokenization, named entity recognition, sentiment analysis, and text classification Speech Processing : Experience with audio feature extraction, mel-spectrograms, and acoustic modeling Knowledge of prompt engineering and optimization strategies Familiarity with reinforcement learning from human feedback (RLHF) Understanding of retrieval-augmented generation (RAG) architectures Experience with multi-modal AI systems (text, speech, image) Language Models : Experience with BERT, GPT, T5, and domain-specific language models Software Architecture: Proven experience in designing large-scale distributed systems Strong API design and microservices architecture skills Experience with containerization (Docker, Kubernetes) Knowledge of event-driven architectures and message queuing Understanding of database design and optimization Leadership & Communication 7+ years of software development experience with 3+ years in AI/ML Track record of leading technical teams and complex projects Excellent communication skills for both technical and non-technical stakeholders Experience mentoring and developing junior team members Strong problem-solving and analytical thinking abilities Preferred Qualifications: Advanced AI Knowledge PhD (Optional) or Master's in Computer Science, AI, NLP, or related field Published research in AI/ML, NLP, or speech processing conferences or journals Experience with custom model architectures and novel AI techniques Speech & Language Specialization : Deep understanding of phonetics, linguistics, and speech recognition algorithms Knowledge of AI safety, alignment, and responsible AI practices Familiarity with edge AI and mobile deployment strategies Experience with multilingual and cross-lingual NLP systems Technical Depth Experience with GPU programming (CUDA) and optimization Knowledge of distributed training and model parallelism Audio Processing Libraries : Proficiency with librosa, torchaudio, SpeechBrain, and ESPnet Familiarity with AI accelerators (TPUs, custom chips) Understanding of compiler technologies for AI (TensorRT, ONNX) Experience with real-time AI systems and streaming architectures NLP Libraries : Advanced knowledge of spaCy, NLTK, Transformers, and custom NLP pipelines Industry Experience Previous experience in AI-first companies or research labs Track record of shipping AI products to production Experience with regulatory compliance in AI systems Knowledge of AI ethics and bias mitigation strategies Familiarity with intellectual property considerations in AI What We Offer Opportunity to work with cutting-edge AI technologies Access to substantial compute resources for experimentation Conference attendance and continuous learning budget Collaborative environment with world-class AI researchers and engineers Flexible work arrangements and comprehensive benefits Direct impact on product direction and technical strategy Application Requirements: Please include: Detailed portfolio of AI projects and contributions Examples of custom LLM implementations or agent systems Links to relevant GitHub repositories or publications Brief explanation of your most impactful AI architecture decisions Vision for the future of LLM applications and agent systems We are an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status.
Job Title - Flutter Developer Required Experience - 3+ Years Job Location: Remote We are looking for a skilled Flutter Developer to join our mobile development team. You will be responsible for designing, developing, and maintaining high-performance cross-platform mobile applications for Android and iOS using Flutter. Key Responsibilities: Build and maintain high-quality Flutter apps for Android and iOS platforms. Collaborate with product managers, UI/UX designers, and backend developers to deliver seamless user experiences. Write clean, scalable, and well-documented code. Integrate RESTful APIs and third-party SDKs. Optimize app performance, memory usage, and battery consumption. Implement security best practices (e.g., secure storage, code obfuscation). Participate in code reviews, unit testing, and deployment processes. Stay up-to-date with the latest Flutter and Dart updates, tools, and best practices. Required Skills: 3+ years of experience in mobile development with at least 2 year in Flutter. Strong knowledge of Dart , Flutter SDK , and widgets . Experience in deploying apps to the Google Play Store and Apple App Store . Proficiency in state management techniques like Provider, Riverpod, Bloc, or GetX. Familiarity with integrating REST APIs, Firebase, and local databases (e.g., SQLite, Hive). Good understanding of mobile app lifecycle, architecture, and design patterns (MVC, MVVM, Clean Architecture). Familiar with debugging, performance optimization, and version control tools (Git). Preferred Qualifications: Experience with platform channels and native Android/iOS integration. Knowledge of CI/CD pipelines for Flutter (e.g., Codemagic, GitHub Actions). Familiarity with testing frameworks (unit, widget, integration). Experience working in Agile/Scrum teams. Contributions to open-source projects or Flutter community is a plus.
Job Title: DevOps Manager Required Experience: 5+ Years Location: Remote Description We are looking for an experienced DevOps Manager to lead our DevOps team and streamline software development and deployment processes. The ideal candidate will have expertise in CI/CD pipelines, cloud infrastructure, automation, and security. Key Responsibilities Oversee DevOps strategy, ensuring efficient software development and deployment. Manage CI/CD pipelines to automate build, test, and deployment processes. Lead a team of DevOps engineers, fostering collaboration between development and operations. Optimize cloud infrastructure (AWS, Azure, GCP) for scalability and performance. Implement security best practices to protect applications and data. Monitor system performance and troubleshoot issues proactively. Collaborate with cross-functional teams to improve software delivery Required Skills & Qualifications Bachelor’s/Master’s degree in Computer Science, Engineering, or related field. 5+ years of experience in DevOps, cloud computing, and automation. Strong knowledge of Docker, Kubernetes, Terraform, Jenkins, and Ansible. Experience with AWS, Azure, or GCP cloud platforms. Expertise in scripting languages (Python, Bash, PowerShell). Excellent leadership and communication skills.
Job Title: DevOps Engineer – AWS Cloud Location: Remote Experience: 3.5–5 years Job Description: We are looking for a DevOps Engineer with strong knowledge of AWS Cloud to join our team. The candidate will work closely with development and operations teams to ensure smooth deployment, monitoring, automation, and management of applications in a scalable and secure cloud environment. Key Responsibilities: Ability to deploy to both on-prem & Aws cloud. Build, maintain, and optimize CI/CD pipelines using AWS Code Pipeline, Code Build, Code Deploy, or other CI/CD tools like Jenkins/GitLab, requiring strong hands-on experience. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform, requiring strong expertise. Manage and monitor AWS services with strong knowledge of: Compute & Serverless: EC2, Lambda, ECS/EKS, Fargate Storage & Databases: S3, RDS, DynamoDB, EFS Networking: VPC, Subnets, Security Groups, ELB, Route 53 Event & Messaging: Amazon Event Bridge, SNS, SQS Monitoring & Logging: CloudWatch, CloudTrail, ELK stack, Prometheus, Grafana Implement alerting, logging, and metrics dashboards with strong operational knowledge to monitor application and infrastructure health. Manage IAM roles, policies, and security best practices, including KMS encryption and secrets management, requiring strong understanding of AWS security. Implement backup, disaster recovery, and high availability strategies for critical systems with strong knowledge of best practices. Optimize cloud resources for performance, cost, and scalability, requiring strong analytical skills. Collaborate with development teams to troubleshoot deployment issues, automate manual tasks, and improve operational processes, demonstrating strong problem-solving skills. Ensure compliance with organizational and industry security standards with strong knowledge of governance requirements. Required Skills: Strong knowledge and hands-on experience with AWS Cloud services: S3, EC2, RDS, Lambda, ECS/EKS, VPC, ELB, Route 53, CloudWatch, CloudTrail, Event Bridge, Code Pipeline, Code Build, Code Deploy, and CloudFront. Strong experience with CI/CD tools and automation using Jenkins, GitLab, or AWS native tools. Strong expertise in Infrastructure as Code (IaC): Terraform, CloudFormation, AWS CDK. Proficiency in containerization and orchestration: Docker, Kubernetes/EKS, with strong knowledge of cluster management. Strong scripting skills: Python, Bash, or PowerShell. Strong understanding of networking, security, and monitoring in AWS environments. Preferred Qualifications: AWS certifications such as AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect – Associate/Professional. Experience with serverless architectures (Lambda, Event Bridge, API Gateway) and strong knowledge of event-driven architectures. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively with strong communication skills. Ability to interact with cross-functional teams and provide strong technical guidance.
Job Title: Associate AI Developer Required Years of Experience: 3–5 Years Location: Remote We are looking for an AI Developer with 3+ years of experience in building and deploying AI/ML solutions. The ideal candidate should have strong expertise in deep learning frameworks, model training/fine-tuning, and API-driven integrations, with hands-on experience in delivering production-grade AI applications. Key Responsibilities: Design, develop, and deploy AI/ML models for NLP, CV, or speech-based use cases. Fine-tune and optimize large language models (LLMs) or domain-specific AI models. Integrate AI workflows into applications using REST/gRPC APIs. Preprocess and manage structured/unstructured datasets for training and inference. Implement scalable inference pipelines with focus on performance and cost optimization. Collaborate with product and engineering teams for end-to-end AI feature delivery. Stay updated with the latest advancements in AI/ML research and tools. Nice to Have (Optional Skills): Experience with vector databases (Pinecone, Weaviate, FAISS). Familiarity with model compression (LoRA, QLoRA, quantization, distillation). Exposure to cloud AI services (Azure, AWS, GCP). Knowledge of MLOps tools (MLflow, Kubeflow, Airflow). Skills Required: Python (core language) Deep learning frameworks (PyTorch, TensorFlow) NLP/CV libraries (HuggingFace, OpenAI API, spaCy, Transformers) Data preprocessing (Pandas, NumPy, Scikit-learn) Model deployment & inference (FastAPI, Docker, REST APIs) Version control & collaboration (Git, CI/CD)
Job Title: Senior UI Designer Required Years of Experience: 5-8 Years Location: Remote We are looking for a Senior UI Designer with 5+ years of experience in designing visually compelling, user-friendly, and responsive digital interfaces. The ideal candidate should have strong expertise in design systems, prototyping, and collaboration with UX and development teams, with hands-on experience in delivering production-grade UI for web and mobile applications. Key Responsibilities: Design and maintain intuitive, consistent, and pixel-perfect user interfaces across web and mobile platforms. Create wireframes, mockups, and high-fidelity prototypes to support product vision. Develop and manage design systems and component libraries to ensure consistency. Collaborate closely with UX designers, product managers, and developers for end-to-end feature delivery. Ensure UI designs adhere to accessibility standards (WCAG, ARIA) and responsive design principles. Implement interaction design and micro-interactions to enhance user experience. Conduct design reviews and provide constructive feedback to team members. Stay updated with the latest trends, tools, and best practices in UI design. Nice to Have (Optional Skills): Experience with motion design and advanced prototyping tools (Framer, Principle, After Effects). Familiarity with front-end development frameworks (React, Angular, Vue). Exposure to designOps and collaborative design workflows in large teams. Experience in mentoring or leading junior designers. Skills Required: Visual design (Typography, Color Theory, Layout, Composition) Design tools (Figma, Sketch, Adobe XD, Photoshop, Illustrator) Prototyping and wireframing Design systems & component libraries Responsive design & cross-platform UI Accessibility standards (WCAG, ARIA) Interaction design & micro-interactions Collaboration with UX & development teams Front-end basics (HTML, CSS, React Components) Version control & collaboration tools (Git, Zeplin, Abstract)
Job Title: Sr Team Lead Required Experience: 5-8 Years Job Location: Remote About the Role We are seeking an Sr Team Lead who can manage day-to-day project activities while also contributing to technical discussions. The ideal candidate will act as a bridge between stakeholders and development teams , ensuring clear communication, timely progress, and smooth delivery. A strong programmatic understanding and expertise in using AI tools for automation of project processes is expected to streamline workflows and increase team efficiency. Key Responsibilities Manage day-to-day communication with stakeholders , ensuring requirements and updates are clearly conveyed. Oversee Jira task management , including ticket creation, tracking, reporting, and workflow automation. Leverage AI tools to automate reporting, documentation, status updates, and repetitive processes. Coordinate sprint planning, daily stand-ups, and retrospectives. Provide project status updates to leadership and stakeholders regularly. Collaborate closely with development teams to ensure timelines, priorities, and deliverables are aligned. Assist in issue resolution and support activities as projects evolve. Maintain clear and updated documentation on project scope, features, and dependencies. Contribute to discussions on technical feasibility and solution design. Requirements 5-8 years of experience in technical project coordination/management or hybrid developer–coordinator roles. Proven expertise in AI-driven tools (e.g., for task automation, reporting, communication, or workflow optimization). Familiarity with Agile/Scrum methodologies and best practices. Strong knowledge of Jira (or similar tools) for backlog and sprint management. Excellent written and verbal communication skills , with confidence in stakeholder interactions. Strong organizational and multitasking abilities. Programmatic/technical understanding to follow system design, workflows, and dependencies (no specific language expertise required). Nice-to-Have Involvement across end-to-end project activities : UX design discussions, functional requirement gathering, development oversight, and deployment processes. Prior experience leading small teams or mentoring developers. Exposure to CI/CD, cloud platforms (AWS, GCP, or Azure), and DevOps practices. Experience with documentation tools such as Confluence. Ability to step into a Project Manager or Technical Lead role as the project scales.
Job Title: Java Backend Developer Location: Remote Employment Type: Full-Time Department: IoT Lab About the Role We’re looking for a Backend Engineer with 4–6 years of experience to join our core development team. You’ll be responsible for building and optimizing backend services that power our fleet management platform, ensuring high performance, scalability, and reliability. Responsibilities Develop and maintain backend modules for existing fleet management system Design and implement scalable APIs for real-time fleet tracking and analytics Optimize data storage and retrieval for large-scale GPS datasets Integrate with third-party tracking devices and IoT protocols (MQTT, TCP/UDP, HTTP, HTTPS, SMS, GPRS/5G) Collaborate with frontend, mobile, and DevOps teams to deliver end-to-end solutions Monitor and improve system performance, uptime, and data accuracy Requirements 3–4 years of experience in backend development, preferably in Java Strong understanding of SQL databases (MySQL, PostgreSQL) Experience with RESTful API design and integration Familiarity with Linux server environments and Git workflows Familiarity with containerization (Docker) and cloud deployment Exposure to scalable system design and performance tuning Knowledge of IoT protocols and GPS tracking systems is a plus Nice to Have Understanding of security best practices in backend development System design experience for high concurrency for multiple devices, protocol translation for diverse GPS hardware and scalable API wrappers