Automated Requirements Gathering
Our AI agents analyze user needs and translate them into
technical requirements, eliminating ambiguity and ensuring
clear project goals.
Rapid AI Driven Development Methodology
Welcome to the future of software development! Our cutting-edge
AI-powered platform transforms the way software is created, from
requirements gathering to seamless deployment. We are here to
eliminate inefficiencies, reduce costs, and redefine scalability in
software development.
RAIDD streamlines the software lifecycle by automating requirements
gathering, code generation, testing, and deployment, ensuring
high-quality results with minimal downtime. Experience enhanced
efficiency and reliability at every stage of software
development.
Smart Code Generation
AI algorithms generate high-quality code based on
requirements, reducing development time and minimizing
errors.
Continuous Testing and Optimization
AI-powered testing tools automatically identify and address
bugs, ensuring software quality and performance.
Seamless Deployment
Our platform facilitates automated deployment across
various environments, minimizing downtime and ensuring
smooth integration.
Simple and easy pricing
Trial
$0/ month
All the basic features to boost your freelance career
Requirements Agent
Design Agent
Build Agent
100 Agent Hours
Live Chat Support
Basic
/ month$999
All the basic features to boost your freelance career
Requirements AgentDesign AgentBuild Agent100 Agent HoursLive Chat Support
Premium
/ month$1999
All the basic features to boost your freelance career
Requirements AgentDesign AgentBuild AgentQA AgentSupport Agent6000 Agent HoursLive Chat Support
Narasimha ParuchuruFounder CEO
Narasimha possesses over 20 years of extensive experience in the IT industry, specializing in the technical design and development of numerous software projects.
He brings with him extensive expertise in IT implementations, specializing in DevOps, cloud migrations, and enterprise integrations. He has a rich professional background spanning software architecture, cloud technologies, blockchain,AI, and advisory roles in integration tools, complemented by his experience as an angel investor.
Masood SheikDirector of Sales
Masood is a management consultant and technology advisor
with expertise in Enterprise Tech, AI, and Cloud. As a
Business Growth Lead at ProTaqnia, he has expanded SaaS and
automation solutions across 50+ countries, while as a
Partner at Next Now Green, he champions sustainability
initiatives using blockchain and ESG principles.
3 Open Positions
AI Architect
Location Hyderabad/ Virtual
Location Hyderabad/ Virtual
Role Summary:
Lead the design and execution of scalable AI architectures,
focusing on multi-agent orchestration, Generative AI, and
enterprise AI solutions. Collaborate across teams to integrate
AI models such as ChatGPT, Claude, and Gemini into the RAIDD
methodology. Ensure alignment with business goals, scalability,
and security.
Responsibilities:
Define AI architecture strategies and roadmaps.
Optimize multi-agent orchestration and deployment pipelines.
Oversee AI-driven product lifecycle (design, build, QA, and deployment).
Collaborate with stakeholders to meet performance and service goals.
Design and implement scalable, robust and cost-effective ML/DL infrastructure to support end-to-end Machine Learning workflows.
Architect and develop GenAI solutions using the latest techniques such as RAG, transformer architecture, etc. in building meaningful and intricate GenAI solutions
Develop architecture blueprints, technical designs, and implementation plans for AI/ML projects.
Evaluate and select appropriate AI/ML technologies, frameworks, and tools based on project requirements and industry best practices.
Build and maintain Generative AI workflows, including model training or fine-tuning, and establishing feedback loops
Develop and maintain CI/CD pipelines for ML models, ensuring smooth deployment and monitoring in production environments.
Collaborate with Product Managers and stakeholders to understand their business objectives, challenges, and opportunities for leveraging AI/ML technologies.
Provide technical guidance and leadership to cross-functional teams throughout the project lifecycle
Collaborate with data scientists and software engineers to streamline the model development lifecycle, from experimentation to deployment and monitoring.
Implement best practices for version control, testing, and validation of ML models.
Ensure high availability and reliability of ML systems, including performance monitoring and troubleshooting.
Stay current with the latest advancements in AI/ML research, methodologies, and tools, and incorporate them into our solution offerings
Mentor junior team members and guide MLOps best practices and AI advancements.
Qualifications:
Master’s/PhD in Computer Science, AI, or related field.
10+ years in AI solution architecture, including large-scale deployments.
Expertise in Generative AI models, cloud platforms, and enterprise systems.
Uphold ethical standards in AI, focusing on the responsible use of GenAI models, data privacy, security, and ensuring compliance with regulatory requirements like HIPAA, GDPR and CCPA.
Proficiency in Cloud platforms such as AWS, Azure or GCP
Proficiency in programming languages such as Python, R, SQL
Familiarity with data engineering tools and frameworks like Apache Spark, Hadoop, or Kafka.
Excellent communication and technical documentation skills.
Interested candidates, please send their resumes to agentinfo@raidd.ai
Responsibilities:
Define AI architecture strategies and roadmaps.
Optimize multi-agent orchestration and deployment pipelines.
Oversee AI-driven product lifecycle (design, build, QA, and deployment).
Collaborate with stakeholders to meet performance and service goals.
Design and implement scalable, robust and cost-effective ML/DL infrastructure to support end-to-end Machine Learning workflows.
Architect and develop GenAI solutions using the latest techniques such as RAG, transformer architecture, etc. in building meaningful and intricate GenAI solutions
Develop architecture blueprints, technical designs, and implementation plans for AI/ML projects.
Evaluate and select appropriate AI/ML technologies, frameworks, and tools based on project requirements and industry best practices.
Build and maintain Generative AI workflows, including model training or fine-tuning, and establishing feedback loops
Develop and maintain CI/CD pipelines for ML models, ensuring smooth deployment and monitoring in production environments.
Collaborate with Product Managers and stakeholders to understand their business objectives, challenges, and opportunities for leveraging AI/ML technologies.
Provide technical guidance and leadership to cross-functional teams throughout the project lifecycle
Collaborate with data scientists and software engineers to streamline the model development lifecycle, from experimentation to deployment and monitoring.
Implement best practices for version control, testing, and validation of ML models.
Ensure high availability and reliability of ML systems, including performance monitoring and troubleshooting.
Stay current with the latest advancements in AI/ML research, methodologies, and tools, and incorporate them into our solution offerings
Mentor junior team members and guide MLOps best practices and AI advancements.
Qualifications:
Master’s/PhD in Computer Science, AI, or related field.
10+ years in AI solution architecture, including large-scale deployments.
Expertise in Generative AI models, cloud platforms, and enterprise systems.
Uphold ethical standards in AI, focusing on the responsible use of GenAI models, data privacy, security, and ensuring compliance with regulatory requirements like HIPAA, GDPR and CCPA.
Proficiency in Cloud platforms such as AWS, Azure or GCP
Proficiency in programming languages such as Python, R, SQL
Familiarity with data engineering tools and frameworks like Apache Spark, Hadoop, or Kafka.
Excellent communication and technical documentation skills.
Interested candidates, please send their resumes to agentinfo@raidd.ai
Senior AI Engineer (Gen AI + Machine Learning)
Location Hyderabad/ Virtual
Location Hyderabad/ Virtual
Role Summary:
Drive innovation in AI and ML, integrating generative AI with
traditional machine learning to enhance enterprise solutions.
Optimize AI workflows within the RAIDD framework for large-scale
deployments.
Responsibilities:
Develop hybrid AI/ML models and integrate with agent systems.
You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments.
Collaborate on model training, testing, and deployment.
Optimize AI pipelines for inputs like audio, video, and documents.
Ensure high-quality outputs, such as BRDs, code, and test cases.
Build end to end ML pipelines to train, deploy and server ML models at scale.
Leverage industry best practices and tools to continually improve teams' ability to build, operate and maintain products.
Qualifications:
Bachelor’s/Master’s in Computer Science, AI, or related field.
5+ years of hands-on experience in AI and ML.
Expertise in generative AI, data modeling, and cloud platforms.
Strong problem-solving and team collaboration skills.
Interested candidates, please send their resumes to agentinfo@raidd.ai
Responsibilities:
Develop hybrid AI/ML models and integrate with agent systems.
You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments.
Collaborate on model training, testing, and deployment.
Optimize AI pipelines for inputs like audio, video, and documents.
Ensure high-quality outputs, such as BRDs, code, and test cases.
Build end to end ML pipelines to train, deploy and server ML models at scale.
Leverage industry best practices and tools to continually improve teams' ability to build, operate and maintain products.
Qualifications:
Bachelor’s/Master’s in Computer Science, AI, or related field.
5+ years of hands-on experience in AI and ML.
Expertise in generative AI, data modeling, and cloud platforms.
Strong problem-solving and team collaboration skills.
Interested candidates, please send their resumes to agentinfo@raidd.ai
Generative AI Engineer (Gen AI + Machine Learning)
Location Hyderabad/ Virtual
Location Hyderabad/ Virtual
Role Summary:
Drive innovation in AI and ML, integrating generative AI with
traditional machine learning to enhance enterprise solutions.
Optimize AI workflows within the RAIDD framework for large-scale
deployments.
Responsibilities:
Design, Develop, fine-tune, and integrate generative AI models like ChatGPT and Claude.
Implement model pipelines for data ingestion and output generation.
Test and improve models for scalability and performance.
Work with deployment teams to ensure smooth delivery.
Leveraging your expertise in Generative AI, Python, Machine Learning and Data Scienceto develop cutting-edge solutions for our clients.
Utilizing NLP techniques, LangChain, and LLM's to develop conversational chatbots and language models tailored to our clients' needs.
Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.
Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions.
Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making.
Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings.
Demonstrating a strong understanding of cloud platforms, particularly GCP, for deploying AI applications.
Qualifications:
Bachelor’s/Master’s in AI, Machine Learning, or related field.
Proficiency in NLP, large language models, and deep learning frameworks.
Experience with tools like TensorFlow, PyTorch, and cloud services.
Interested candidates, please send their resumes to agentinfo@raidd.ai
Responsibilities:
Design, Develop, fine-tune, and integrate generative AI models like ChatGPT and Claude.
Implement model pipelines for data ingestion and output generation.
Test and improve models for scalability and performance.
Work with deployment teams to ensure smooth delivery.
Leveraging your expertise in Generative AI, Python, Machine Learning and Data Scienceto develop cutting-edge solutions for our clients.
Utilizing NLP techniques, LangChain, and LLM's to develop conversational chatbots and language models tailored to our clients' needs.
Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.
Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions.
Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making.
Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings.
Demonstrating a strong understanding of cloud platforms, particularly GCP, for deploying AI applications.
Qualifications:
Bachelor’s/Master’s in AI, Machine Learning, or related field.
Proficiency in NLP, large language models, and deep learning frameworks.
Experience with tools like TensorFlow, PyTorch, and cloud services.
Interested candidates, please send their resumes to agentinfo@raidd.ai
Company
Contact Information
RAIDDNext Labs Pvt Ltd
F305, F Block,
Aparna HillPark Avenues,
Chandanagar,
Hyderabad - 500050
Phone : +91-7780100931 agentinfo@raidd.ai
Customer Support Terms & Conditions
Privacy Policy
F305, F Block,
Aparna HillPark Avenues,
Chandanagar,
Hyderabad - 500050
Phone : +91-7780100931 agentinfo@raidd.ai
Customer Support Terms & Conditions
Privacy Policy
RAIDD complements in accelerating
development cycles, reduce errors, and improve code quality with
AI-driven assistance.