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.