Hyper Thread Solutions was formed when a group of professionals from the enterprise solutions domain in India, got together in order to take Business Operations Optimization, Client delivery and Services to the Next Level, thereby implementing the Worlds Best Practices along with the best in technology and providing Service Solutions to Customers seeking to excel, grow and becoming the Best in Class.

We offer customized IT Solutions for all firms, in Service domain to be able to optimize and consolidate their operations and manage more, better, at lower costs and higher efficiency. The solutions have been tried and tested in various verticals such as Telecom and Customer Service.

Hyper Thread Solutions , is a premier provider of Information Technology services and solutions offering the highest overall value and customer satisfaction in the industry. Our technology experts offer you full spectrum Business Consulting, Development, E-Learning. In addition to our core IT service offerings; Hyper Thread Solutions has domain expertise in Development of different types of latest technologies and Consulting Services. We believe that through a close-working relationship with our clients we are able to clearly identify areas for improvement. We also add simplicity, efficiency, and organization into what can otherwise be a very complex world of technology. We consistently delivers valuable time, cost and quality advantages from our multi-location global delivery centers to many Fortune customers. This enables them to be more competitive, operate with optimal efficiency and achieve their desired results. We utilize our strengths of technology expertise, superior project management, industry domain knowledge and rapid delivery to achieve your desired results. We delivers a reliable work product tested by experienced staff and ready for implementation.

<h4>Key Responsibilities:</h4><ul><li>Develop, test, and maintain .NET applications using C# and .NET Core.</li><li>Design and implement Microservices-based architecture to ensure scalability and reliability.</li><li>Build responsive and dynamic front-end applications using Angular.</li><li>Collaborate with cross-functional teams to analyze, design, and deliver high-quality software solutions.</li><li>Develop APIs and integrate third-party services as required.</li><li>Ensure the performance, security, and responsiveness of applications.</li><li>Write clean, maintainable, and reusable code following best practices.</li><li>Participate in code reviews and provide constructive feedback to team members.</li><li>Stay up-to-date with the latest trends and technologies in software development.</li></ul><h4>Required Skills and Qualifications:</h4><ul><li>Strong experience with .NET Core and C#.</li><li>Expertise in designing and implementing Microservices architecture.</li><li>Proficiency in Angular (versions 8+ preferred).</li><li>Solid understanding of RESTful APIs and API development.</li></ul><h4>Education and Experience:</h4><ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>4+ years of experience in .NET development with a focus on Microservices and Angular</li></ul>

About the RoleWe are looking for a DevOps &amp; Infrastructure Engineer with 2+ years of experience to manage and optimize our AWS/GCP deployments, DevOps pipelines, and product infrastructure. This role requires a hands-on engineer who is comfortable working with Ubuntu, Python-based setups, Docker, and Apache web servers.The ideal candidate should have a good attitude, a strong learning mindset, and the ability to implement optimizations for scalability, reliability, and performance. If you are passionate about automating deployments, managing cloud infrastructure, and continuously improving system performance, we’d love to have you on board! Key Responsibilities<ol><li>Cloud Infrastructure Management</li></ol><ul><li class="ql-indent-1">Deploy, manage, and monitor infrastructure on GCP &amp; AWS.</li><li class="ql-indent-1">Optimize cloud resource utilization, ensuring cost-effective scaling.</li><li class="ql-indent-1">Implement backup, security, and monitoring solutions to maintain high availability.</li></ul><ol><li>DevOps &amp; CI/CD Pipeline Management</li></ol><ul><li class="ql-indent-1">Set up and maintain CI/CD pipelines for automated deployments.</li><li class="ql-indent-1">Manage build, release, and deployment processes to ensure smooth rollouts.</li><li class="ql-indent-1">Work with GitLab CI/CD, GitHub Actions, or Jenkins to streamline deployments.</li></ul><ol><li>Linux &amp; Application Deployment</li></ol><ul><li class="ql-indent-1">Configure and maintain Ubuntu servers, ensuring optimal performance.</li><li class="ql-indent-1">Deploy and manage Python-based applications in production environments.</li><li class="ql-indent-1">Set up and manage Apache web servers, tuning configurations for efficiency.</li><li class="ql-indent-1">Implement SSL certificates, domain configurations, and security best practices.</li></ul><ol><li>Containerization &amp; Orchestration</li></ol><ul><li class="ql-indent-1">Deploy applications using Docker, ensuring lightweight and scalable deployments.</li><li class="ql-indent-1">(Plus) Work with Kubernetes (K8s) for container orchestration and scaling.</li><li class="ql-indent-1">(Plus) Develop Helm charts to simplify Kubernetes deployments.</li></ul><ol><li>Infrastructure Optimization &amp; Automation</li></ol><ul><li class="ql-indent-1">Continuously evaluate and implement new tools &amp; technologies to enhance performance.</li><li class="ql-indent-1">Automate infrastructure provisioning and deployments using Terraform, Ansible, or similar tools.</li><li class="ql-indent-1">Troubleshoot performance issues and optimize cloud/server configurations.</li></ul> Required Skills &amp; QualificationsCore Skills<ul><li>2+ years of experience in DevOps / Cloud Infrastructure Management.</li><li>Hands-on experience with AWS or GCP (Compute, Networking, Storage, IAM).</li><li>Strong knowledge of Ubuntu/Linux environments, including system administration and shell scripting.</li><li>Experience deploying applications with Docker in production.</li><li>Experience managing Apache web servers, including configuration and optimization.</li><li>Familiarity with CI/CD pipeline setup and automation tools.</li></ul>Nice to Have (Plus, Not Mandatory)<ul><li>Experience with Kubernetes (K8s) deployments and management.</li><li>Knowledge of Helm charts for Kubernetes package management.</li><li>Experience with Terraform, Ansible, or other Infrastructure-as-Code (IaC) tools.</li><li>Work on cutting-edge cloud deployments &amp; automation in a fast-paced tech environment.</li><li>Learn &amp; implement new technologies while optimizing infrastructure performance.</li><li>Be part of a growing team building scalable and efficient cloud-based solutions.</li><li>Competitive compensation and an opportunity to work on GCP, AWS, and containerized deployments.</li></ul> Why Join Us?

About the RoleWe are looking for a sharp, hands-on AI Engineer with 3 to 5 years of experience in Large Language Models (LLMs) and Agentic AI to work alongside a Senior AI Scientist. You will contribute to the design, fine-tuning, and deployment of AI models, enabling goal-driven, autonomous AI agents to perform complex reasoning and decision-making tasks. Your role will involve building and optimizing LLMs, integrating them with retrieval-augmented generation (RAG), and enhancing their efficiency for real-time automation. <ul><li>Key Responsibilities1. Agentic AI Development &amp; Workflow OptimizationDevelop autonomous AI agents capable of dynamic decision-making and task execution.</li><li>Work with LangGraph, LangChain, LlamaIndex, and other frameworks to create multi-agent workflows.</li><li>Optimize goal-driven AI behavior for handling complex automation and reasoning tasks.</li><li>Enhance agent collaboration mechanisms, improving their ability to break down goals, delegate tasks, and refine execution strategies.</li><li>2. Language Model Fine-Tuning &amp; OptimizationWork with Tiny LLMs / Small LLMs (e.g., Phi-3, OpenELM, Mistral, Llama 3) to build efficient, scalable AI models.</li><li>Fine-tune models using full fine-tuning, LoRA, QLoRA, and PEFT techniques to improve task-specific performance.</li><li>Optimize GPU memory and compute resources to efficiently run fine-tuned models for real-world applications.</li><li>Research and implement efficient inference strategies for deploying LLMs in production.</li><li>3. Retrieval-Augmented Generation (RAG) &amp; Knowledge IntegrationDesign and implement RAG architectures to improve contextual awareness and decision-making capabilities of AI agents.</li><li>Work with vector databases (e.g., ChromaDB, FAISS, Weaviate) for efficient knowledge retrieval and document understanding.</li><li>Develop techniques for continuous learning, enabling agents to refine knowledge over time.</li><li>4. NLP &amp; Intelligent Document ProcessingWork on OCR-based automation, enhancing document understanding using Tesseract, PaddleOCR, and AI-powered text extraction.</li><li>Develop custom tokenization, embeddings, and NLP pipelines for document classification, summarization, and intent recognition.</li><li>Implement domain-specific adaptations of LLMs to improve accuracy and performance in structured and unstructured text processing.</li><li>5. AI Infrastructure &amp; Compute OptimizationConfigure fine-tuning infrastructure, manage GPU/TPU memory, and optimize compute for LLM fine-tuning.</li><li>Experiment with different fine-tuning strategies to optimize models for low-latency, high-performance applications.</li><li>Required Skills &amp; QualificationsCore AI &amp; NLP ExpertiseStrong background in NLP, LLMs, and deep learning with experience in fine-tuning and optimizing models.</li><li>Proficiency in Python and experience with Hugging Face Transformers, LangChain, LlamaIndex, and ML frameworks (PyTorch, TensorFlow, scikit-learn).</li><li>Experience with Tiny LLMs / Edge AI and optimizing Phi-3, OpenELM, and Mistral for efficiency.</li><li>RAG &amp; Data EngineeringSolid understanding of Retrieval-Augmented Generation (RAG) and its application in agentic AI workflows.</li><li>Experience working with SQL &amp; NoSQL databases (PostgreSQL, MongoDB, ChromaDB, FAISS, etc.).</li><li>Familiarity with big data processing frameworks like Spark, Dask, or Ray for handling large-scale workloads.</li><li>AI Compute &amp; Infrastructure (Plus, Not Mandatory)Experience deploying AI models using Docker, Kubernetes, or serverless architectures.</li><li>Knowledge of MLOps best practices for model retraining, monitoring, and optimization.</li><li>Why Join Us?Work on cutting-edge AI-powered agentic automation at the intersection of LLMs, RAG, and multi-agent systems.</li><li>Be part of a team building goal-driven, autonomous AI agents that redefine how businesses leverage AI.</li><li>Collaborate with a highly skilled Senior AI Scientist and grow your expertise in LLM fine-tuning, optimization, and AI-driven automation.</li><li>Competitive compensation and access to state-of-the-art AI models and compute resources.</li></ul>

Key Responsibilities: Brand Building &amp; Communication: &nbsp;Define and implement a compelling brand strategy that resonates with our diverse user base, ranging from small businesses to enterprises.&nbsp;&nbsp;Develop and maintain a consistent tone and voice for the AutomatR brand across all platforms.&nbsp;Craft clear, engaging, and impactful messaging that communicates the unique value proposition of AutomatR to a global audience, Visual Storytelling :&nbsp; Create captivating visuals and multimedia content that tell the story of AutomatR’s journey and offerings.&nbsp;&nbsp;Collaborate with design and product teams to deliver high-quality videos, infographics, and marketing assets that simplify and showcase complex ideas.&nbsp;Build and oversee a library of branded assets to support marketing campaigns and partner collaborations.&nbsp; Marketing Activities : Plan and execute result-driven marketing campaigns across digital and offline channels.&nbsp;Manage AutomatR’s social media presence, creating content that engages the automation and AI community.&nbsp;Organize impactful product launches, industry events, and customer webinars to establish AutomatR as a leader in workflow automation.Leverage performance metrics to fine-tune strategies and deliver measurable growth in brand awareness, lead generation, and customer engagement.&nbsp; Collaboration &amp; Stakeholder Engagement &nbsp;Work closely with product, sales, and leadership teams to align marketing efforts with AutomatR’s business goals.&nbsp;Cultivate relationships with media, influencers, and strategic partners to expand AutomatR’s market reach&nbsp;Identify opportunities to showcase AutomatR’s success stories and user impact through case studies and testimonials.&nbsp; &nbsp;Qualifications : &nbsp;Bachelor’s degree in Marketing, Communications, or a related field.&nbsp;4+ years of experience in marketing, branding, and communications, preferably in a *tech product-based startup*.&nbsp;Demonstrated expertise in *visual storytelling*, with a portfolio of impactful campaigns and creative assets.&nbsp;Proven success in brand building, digital marketing, and content creation for SaaS or tech-driven products.&nbsp;Excellent verbal and written communication skills, with the ability to simplify complex concepts.&nbsp;Proficiency in digital marketing tools, analytics platforms, and content management systems.&nbsp;Entrepreneurial mindset with a passion for innovation and a deep understanding of tech trends.