About Us: RocketFrog.ai is an AI Studio for Business , delivering cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services industries . We specialize in Agentic AI, Deep Learning models, and Product Development to create real business impact. 🚀 Ready to take a Rocket Leap with Science? Role Overview: We are seeking a Full Stack Developer with 3 to 5 years of experience to build scalable, high-performance applications . You will work closely with our Product Manager/ Business Analyst, UX Experts, and AI Engineers to develop innovative AI-driven products. Key Responsibilities: Develop high-quality software and web applications as an individual contributor . Design and implement scalable, testable, and efficient code . Collaborate with cross-functional teams, including Product, UX, and AI Engineering . Optimize application performance and troubleshoot technical challenges. Provide technical guidance to a small team of developers when needed. Required Skills & Expertise Desire to learn and a go-getter attitude to solve technical challenges. Expertise in HTML, CSS, JavaScript, and React.js . Strong programming skills in Node.js and Python . Experience with Firebase/Supabase . Hands-on experience with AWS, Azure, or GCP cloud environments . Deep understanding of data structures and algorithms . Familiarity with Modern AI, LLMs, and Generative AI (a plus). Required Background B.Tech. in Computer Science, IT, or Electrical Engineering . 3 to 5 years of experience as a Software Developer . Immediate joiners preferred . Why Join RocketFrog.ai? Be part of the growth journey of RocketFrog.ai 🚀 Work on AI-driven innovations that create real business impact. Enjoy autonomy and career growth opportunities in a fast-paced environment.
About Us: RocketFrog.ai is an AI Studio for Business, delivering cutting-edge AI solutions across Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services industries. We specialize in Agentic AI, Deep Learning models, and AI-driven Product Development to create real business impact. 🚀 Ready to take a Rocket Leap with Science? Role Overview: We are looking for an Agentic AI Engineer with 3 to 5 years of experience in designing, developing, and deploying AI-powered applications. The ideal candidate will have strong hands-on experience in Agentic AI frameworks, Prompt Engineering, and machine learning, with a keen interest in building intelligent systems that drive business outcomes. Key Responsibilities: Collaborate closely with business analysts to understand requirements and translate them into actionable AI agent workflows. Design and implement Agentic AI agents that solve complex business problems, ensuring they are scalable, efficient, and aligned with business goals. Build and optimize end-to-end AI systems, focusing on seamless automation, intelligent decision-making, and process improvements. Drive the development of intelligent workflows by integrating AI agents with existing enterprise systems and platforms. Lead the iterative improvement of AI-driven applications, constantly refining the models to enhance performance and business outcomes. Participate in client discussions to understand their challenges, propose AI-powered solutions, and ensure successful deployment and adoption. Continuously evaluate and improve the AI system’s accuracy, reliability, and responsiveness in real-world business environments. Contribute to the continuous learning culture by staying up-to-date with the latest AI research, tools, and frameworks. Required Skills & Expertise: AI/ML Engineering: Hands-on experience in building AI-driven applications with a focus on intelligent workflows and decision-making. Agentic AI Frameworks: Experience with frameworks such as LangGraph or LiveKit to design and develop Agentic AI solutions. LLM and Prompt Engineering: Expertise in optimizing interactions with large language models through advanced prompt engineering techniques. MCP & A2A: Proficiency in Multi-Channel Processing (MCP) and Agent-to-Agent (A2A) communication frameworks. RAG (Retrieval-Augmented Generation): Ability to apply RAG techniques to enhance AI response generation and improve model performance. System Architecture: Strong knowledge of building scalable architectures using tools like FastAPI, Uvicorn, and Celery. AI/ML Platforms: Experience with platforms like Hugging Face for using pre-trained models for business applications. Communication Skills: Ability to communicate complex AI/ML concepts clearly to both technical and non-technical stakeholders. Preferences: Working knowledge of Amazon Bedrock , Google Vertex AI , or Microsoft Azure AI Services . Mathematical Foundation: Strong foundation in data structures, probability & statistics, and machine learning. Required Background: Bachelor’s or Master’s degree in Computer Science , IT , Data Science , or AI . 3 to 5 years of work experience as an AI Engineer. Why Join RocketFrog.ai? 🚀 Be part of the growth journey of RocketFrog.ai! Work in an AI-driven company that is making a real business impact. Collaborate with leading AI experts and work on cutting-edge technologies. Enjoy a dynamic, fast-paced environment with career growth opportunities. 👉 If you are passionate about AI & innovation, let’s connect!
About RocketFrog.ai RocketFrog.ai is an AI Studio for Business, engineering competitive advantage through cutting-edge AI solutions in Healthcare , Pharma , BFSI , Hi-Tech , and Consumer Services . From Agentic AI and deep learning models to full-stack AI-first product development , we help enterprises translate innovation into measurable business impact. 🚀 Ready to take a Rocket Leap with Science? Role Overview We are seeking a proactive and analytical AI Product Analyst with 3–5 years of experience in the software industry to support our AI-led transformation initiatives. You will work closely with business and technology stakeholders to analyze current processes, define solution requirements, and enable the implementation of AI-first products and intelligent automation. The ideal candidate will contribute meaningfully to Agentic AI-based solution design , aligning innovation with business outcomes. Key Responsibilities Study deep functional problems across client domains and conceptualize effective AI/IT solutions in close consultation with internal technical teams. Collaborate directly with client stakeholders to gather, refine, and validate functional and non-functional requirements, ensuring clarity and alignment. Translate business objectives into structured workflows, use cases, and solution blueprints for AI-led transformation. Contribute to the conceptualization and validation of Agentic AI-based automation flows , involving task decomposition, intelligent agents, and adaptive execution. Create workflow diagrams, UI mockups, and system visuals using tools like Figma and Miro to support solution design and user alignment. Liaise between business and engineering teams to ensure smooth execution across the software development lifecycle (SDLC). Support user acceptance testing (UAT), coordinate feedback loops, and enable seamless system adoption. Present findings, solution proposals, and performance insights using clear and compelling narratives in PowerPoint or dashboard formats. Track post-deployment performance and recommend improvements based on KPIs and user feedback. Required Skills & Expertise Software Industry Experience (Mandatory): Proven track record in software/tech-driven environments, with a working understanding of SDLC and Agile methodologies. Information Structuring (Very Important): Proven ability to organize unstructured information into structured, navigable forms like mind maps or decision trees. AI Fluency (Very Important): Exposure to Generative AI concepts, Agentic AI frameworks, or Prompt Engineering. Communication & Storytelling (Very Important): Strong verbal and written communication skills, with proficiency in PowerPoint for narrative design and stakeholder presentations. Meta-Modelling & Schema Design (Desirable): Strong experience creating information schemas, ontologies, and taxonomies to support AI and system design. Familiarity with Description Logic or semantic web standards (OWL, RDF, SHACL) is highly desirable.(Knowledge Representation) Business Process Mapping: Ability to model workflows and identify automation levers in domains like BFSI, Healthcare, or Consumer Services using swimlane diagrams, BPMN standards, etc. Data-Driven Insighting (Important): Ability to extract insights from data and translate them into actionable business recommendations. Tools: Hands-on experience with Miro, Asana, JIRA, and Confluence; familiarity with Excel and basic data visualization tools (a plus). Wireframing & Visualization: Basic proficiency in Figma for crafting UI sketches and visualizing process flows. Key Stakeholders CxOs & Business Leaders – Strategic decision-makers and data consumers Process Owners – Operational stakeholders and subject matter experts Technology Teams – Engineering, AI, and product delivery teams Qualifications Bachelor’s or Master’s degree from IIT or IIM, or other Tier-1 institutions. 3 to 5 years of experience as a Business Analyst, Product Analyst, or Product Manager in the software industry Proven success in driving process optimization, automation, or AI-led transformation initiatives Immediate joiners preferred Why Join RocketFrog.ai? Be part of a mission-driven AI company redefining enterprise transformation Work on real, high-impact AI projects across multiple industries Contribute to next-gen innovations in Agentic AI and intelligent automation Collaborate with world-class AI scientists, engineers, and domain experts Enjoy autonomy, visibility, and rapid career growth in a flat and fast-moving team Immerse yourself in a culture that values continuous learning and curiosity in the evolving tech space
About RocketFrog.ai: RocketFrog.ai is an AI Studio for Business, engineering competitive advantage through cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services. From Agentic AI and deep learning models to full-stack AI-first product development, we help enterprises translate innovation into measurable business impact. 🚀 Ready to take a Rocket Leap with Science? Role Overview: We are looking for a visionary and execution-oriented AI Product Manager with 7–12 years of experience in the software/technology industry. This role will lead the conceptualization, development, and rollout of AI-first products that transform business workflows through Agentic AI, intelligent automation, and enterprise-scale orchestration. As an AI Product Manager, you will define product strategy, shape solution blueprints, and align cross-functional teams around product execution. You will translate ambiguous problem statements into structured AI solutions, bridging business objectives with technical implementation. Key Responsibilities: Own the AI Product Lifecycle: Lead end-to-end product development from ideation to launch, incorporating AI/ML capabilities, business logic, and user feedback. Define Product Vision & Roadmap: Translate customer and market needs into clear product goals, success metrics, and agile execution plans. Design AI-First Workflows: Collaborate with AI engineers and architects to design solutions using intelligent agents, LLM orchestration, and adaptive automation. Drive Stakeholder Alignment: Work closely with CxOs, domain SMEs, and engineering teams to define product requirements and align on priorities. Deliver High-Impact Use Cases: Identify and deliver AI use cases that optimize enterprise operations in BFSI, Healthcare, Pharma, or Consumer Services. Lead Backlog & Feature Planning: Break down large AI initiatives into actionable user stories and manage sprints with engineering and design teams. Champion AI/ML Integration: Identify opportunities to embed LLMs, agentic workflows, and data-driven intelligence into products. Structure Unstructured Information: Bring clarity to complexity using mind maps, schema models, and ontology-driven structures. Manage UX-UXP Alignment: Oversee wireframes, user journeys, and workflow designs via tools like Figma and Miro in collaboration with the design team. Measure Outcomes: Define product KPIs and drive post-launch iteration cycles based on usage, performance, and business feedback. Required Skills & Expertise: Domain & Experience: Software Product Leadership: 7–12 years in software/tech industry with at least 3 years in AI/ML-based product management roles. Strategic Thinking & Execution: Ability to drive both big-picture thinking and detailed execution with cross-functional teams. AI & Data Product Fluency: Agentic AI Concepts: Strong conceptual understanding of Agentic AI and how intelligent agents collaborate to automate business workflows. Agent Orchestration Awareness: Familiarity with how platforms like LangGraph or Crew.ai orchestrate roles such as worker, reviewer, or approver to enable modular and auditable AI behavior. ML Fundamentals: Working understanding of core AI/ML concepts including classification, clustering, and other supervised/unsupervised learning approaches. Cloud AI Services (Desirable): Basic understanding of cloud computing and cloud-based AI platforms such as AWS, Azure, or Google Cloud for deploying intelligent workflows. Meta-Modelling & Knowledge Structures Proficiency in designing schemas, taxonomies, or ontologies; familiarity with RDF, OWL, SHACL, or Description Logic is a strong plus. Information Design & Storytelling Information Structuring: Proven ability to turn raw inputs into actionable workflows and structured schemas using mind maps or process maps. Narrative & Visualization: Strong storytelling through PowerPoint, Notion, dashboards; ability to articulate strategy and progress to executives. Product & Process Tools Tools: Miro, Figma, JIRA, Asana, Confluence, Excel/Google Sheets, PowerPoint, Notion, and basic BI tools (Tableau, Power BI). Process Modeling: Swimlane diagrams, BPMN, ERDs, system design documentation. Key Stakeholders CxOs & Innovation Leaders – Strategic alignment and value realization Engineering & AI Teams – Technical execution and AI enablement Business & Operations Teams – Domain knowledge and feedback integration Customers – Use case validation and value co-creation Qualifications: Bachelor’s or Master’s degree from Tier-1 institutions (IIT, IIM, ISB, IIIT, BITS preferred). 7 to 12 years of professional experience, including product leadership in AI-first or data-driven product lines. Proven success in delivering AI-based transformation, automation, or enterprise software products. Why Join RocketFrog.ai? Shape the future of Agentic AI and intelligent enterprise systems. Own and scale high-impact AI product lines across industry verticals. Collaborate with world-class researchers, AI engineers, and product strategists. Thrive in a flat, fast-paced, innovation-first environment. Drive real business impact with measurable transformation at the intersection of AI and industry.
About RocketFrog.ai: RocketFrog.ai is an AI Studio for Business, engineering competitive advantage through cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services. From Agentic AI and deep learning models to full-stack AI-first product development, we help enterprises translate innovation into measurable business impact. 🚀 Ready to take a Rocket Leap with Science? Role Overview: We are seeking a structured, analytical, and forward-thinking AI Product Analyst with 3–5 years of experience in the software industry. This role is ideal for individuals who excel at making sense of complexity—organizing fragmented information, designing schemas, and building structured representations to power Agentic AI products. You’ll work at the intersection of knowledge modeling, intelligent workflow design, and prompt engineering to drive next-gen AI solutions. Key Responsibilities: Break down complex and ambiguous business contexts into organized frameworks using schemas, taxonomies, or mind maps. Lead the creation of meta-models and domain ontologies to support structured AI understanding and reasoning. Apply principles of Description Logic to represent domain knowledge, support inference, and enhance explainability. Collaborate with domain experts and technical teams to convert functional needs into machine-readable structures. Contribute to prompt engineering and LLM-based system design, enabling generative and reasoning capabilities. Translate business objectives into AI-ready workflows, use cases, and knowledge blueprints. Build process maps, concept hierarchies, and user interaction flows using tools like Figma and Miro. Bridge business and engineering efforts across the SDLC, ensuring alignment on structured information use. Drive user alignment through compelling narratives in PowerPoint or dashboard formats. Monitor deployed AI solutions using well-defined KPIs and structured user feedback loops to recommend enhancements. Required Skills & Expertise: Prompt Engineering & AI Fluency (Very Important): Hands-on experience in designing effective prompts and working with LLMs for reasoning or automation tasks. Meta-Modelling & Schema Design (Mandatory): Strong experience creating information schemas, ontologies, and taxonomies to support AI and system design. Familiarity with Description Logic or semantic web standards (OWL, RDF, SHACL) is highly desirable. Information Structuring (Very Important): Proven ability to organize unstructured information into structured, navigable forms like mind maps or decision trees. Business Process Mapping: Comfortable using swimlane diagrams, BPMN, or similar tools to document and optimize enterprise workflows. Software Industry Experience(Compulsory): Sound knowledge of Agile methodologies and the software development lifecycle. Communication & Storytelling: Exceptional communication skills with experience crafting narratives for stakeholders using PowerPoint and visual tools. Tools & Collaboration Platforms: Proficient in Miro, Figma, JIRA, Confluence; familiarity with Excel and data visualization tools is a plus. Analytical Thinking: Strong conceptual thinking and problem-solving abilities with a bias toward structured, AI-enabled decision-making. Domain Knowledge (Preferred): Background or experience in domains like Rail, Shipping, Logistics, BFSI, or Healthcare is a plus. Key Stakeholders CxOs & Business Leaders – Strategic decision-makers and data consumers Process Owners – Operational stakeholders and subject matter experts Technology Teams – Engineering, AI, and product delivery teams Qualifications Bachelor’s or Master’s degree from IIT, IIM, or other Tier-1 institutions 3 to 5 years of experience as a Business Analyst, Product Analyst, or Product Manager in the software industry Proven success in knowledge modeling, process optimization, or AI-led transformation initiatives Immediate joiners preferred Why Join RocketFrog.ai? Shape the future of Agentic AI and knowledge-driven enterprise systems Work on real-world, high-impact AI projects across multiple industries Be part of a deeply technical and innovation-driven team of AI scientists and engineers Contribute to the next frontier of symbolic + generative AI integration Thrive in a culture that values clarity, curiosity, and continuous learning
🚀 About RocketFrog.ai: RocketFrog.ai is an AI Studio for Business, engineering competitive advantage through cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services. We specialize in Agentic AI, deep learning models, and AI-first product development. Ready to take a Rocket Leap with Science? 🎯 Role Overview: We are seeking a Digital Marketing & Social Media Specialist to own and grow our digital presence, particularly on platforms like LinkedIn , Twitter, and YouTube. This is an exciting opportunity to work closely with thought leaders and tech innovators in the AI space. The ideal candidate brings digital strategy, creative execution, and team coordination together to elevate RocketFrog.ai’s digital brand. 🔧 Key Responsibilities: Social Media Management: Plan and manage RocketFrog.ai’s social media presence (LinkedIn, Twitter, YouTube) end-to-end. Content Calendar & Publishing: Develop and maintain a structured content calendar. Schedule and publish posts using tools like Buffer, Hootsuite, or native schedulers. Freelancer Coordination: Collaborate with a team of external freelancers (designers, editors, writers) to produce high-quality content assets. Campaign Execution: Plan and run both organic and paid digital campaigns to grow brand visibility and generate leads. Performance Analytics: Monitor KPIs (reach, engagement, clicks, etc.), and generate insights and reports for continuous improvement. Website & SEO Collaboration: Coordinate for blog publishing, SEO optimization, and regular updates to website content. Brand Stewardship: Work with leadership to craft a strong, consistent digital voice for RocketFrog.ai. 🧠 Skills Required Deep understanding of LinkedIn : its algorithm, content visibility dynamics, and B2B engagement levers Strong grasp of digital tools: Canva, Figma, Buffer/Hootsuite, Google Analytics, etc. Excellent written communication and content storytelling skills Exposure to B2B marketing strategy and paid digital campaigns Bonus: Basic video editing for YouTube Shorts and promotional snippets Bonus: Familiarity with marketing automation tools like Mailchimp, HubSpot 🎓 Educational & Professional Background Bachelor’s degree in Marketing, Communications, Business, or a related field MBA or post-graduate specialization in Digital Marketing is a strong plus 3–5 years of work experience in digital marketing, with 1–2+ years focused on B2B or tech-oriented social media strategy Experience in AI, SaaS, or emerging tech is desirable 🗣 Soft Skills Comfortable collaborating with thought leaders and senior technologists Strong sense of ownership and initiative Structured and detail-oriented with ability to multitask Creative mindset with a strategic lens Thrives in a fast-paced, innovation-driven environment
RocketFrog.ai is an AI Studio for Business, specializing in developing cutting-edge AI solutions across various industries including Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services. From Agentic AI models to full-stack AI-first product development, RocketFrog.ai assists enterprises in driving innovation and achieving tangible business outcomes. Are you ready to take a Rocket Leap with Science As an AI Product Analyst at RocketFrog.ai, you will play a crucial role in supporting AI-led transformation initiatives by collaborating with business and technology stakeholders. With over 35 years of experience in the software industry, you will analyze existing processes, define solution requirements, and facilitate the implementation of AI-first products and intelligent automation. Your contributions will be essential in designing Agentic AI-based solutions that align innovation with business objectives. Your responsibilities will include studying complex functional issues across client domains, collaborating with internal technical teams to develop effective AI/IT solutions, and working closely with client stakeholders to gather, refine, and validate requirements. You will translate business goals into structured workflows, use cases, and solution blueprints, as well as contribute to the conceptualization and validation of Agentic AI-based automation flows. To support solution design and user alignment, you will create workflow diagrams, UI mockups, and system visuals using tools such as Figma and Miro. Additionally, you will liaise between business and engineering teams to ensure smooth execution across the software development lifecycle, support user acceptance testing, and present findings and insights using clear narratives in PowerPoint or dashboard formats. Key Skills & Expertise: - Proven experience in software/tech-driven environments with knowledge of SDLC and Agile methodologies - Ability to structure unstructured information into navigable forms like mind maps or decision trees - Fluency in Generative AI concepts, Agentic AI frameworks, or Prompt Engineering - Strong communication skills for narrative design and stakeholder presentations - Experience in meta-modelling, schema design, business process mapping, and data-driven insights - Proficiency in tools such as Miro, Asana, JIRA, Confluence, Excel, and Figma Key Stakeholders: - CxOs & Business Leaders - Process Owners - Technology Teams Qualifications: - Bachelor's or Master's degree from reputable institutions - 3 to 5 years of experience as a Business Analyst, Product Analyst, or Product Manager - Demonstrated success in driving process optimization, automation, or AI-led transformation initiatives Join RocketFrog.ai to be part of a mission-driven AI company, work on high-impact projects, contribute to next-gen innovations, collaborate with experts, and experience rapid career growth in a culture that values continuous learning and curiosity in the tech space.,
RocketFrog.ai is an AI Studio for Business, engineering competitive advantage through cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services. From Agentic AI and deep learning models to full-stack AI-first product development, we help enterprises translate innovation into measurable business impact. Are you ready to take a Rocket Leap with Science We are looking for a visionary and execution-oriented AI Product Manager with 7-12 years of experience in the software/technology industry. In this role, you will lead the conceptualization, development, and rollout of AI-first products that transform business workflows through Agentic AI, intelligent automation, and enterprise-scale orchestration. As an AI Product Manager, you will define product strategy, shape solution blueprints, and align cross-functional teams around product execution by translating ambiguous problem statements into structured AI solutions that bridge business objectives with technical implementation. Key Responsibilities: - Own the AI Product Lifecycle: Lead end-to-end product development from ideation to launch, incorporating AI/ML capabilities, business logic, and user feedback. - Define Product Vision & Roadmap: Translate customer and market needs into clear product goals, success metrics, and agile execution plans. - Design AI-First Workflows: Collaborate with AI engineers and architects to design solutions using intelligent agents, LLM orchestration, and adaptive automation. - Drive Stakeholder Alignment: Work closely with CxOs, domain SMEs, and engineering teams to define product requirements and align on priorities. - Deliver High-Impact Use Cases: Identify and deliver AI use cases that optimize enterprise operations in BFSI, Healthcare, Pharma, or Consumer Services. - Lead Backlog & Feature Planning: Break down large AI initiatives into actionable user stories and manage sprints with engineering and design teams. - Champion AI/ML Integration: Identify opportunities to embed LLMs, agentic workflows, and data-driven intelligence into products. - Structure Unstructured Information: Bring clarity to complexity using mind maps, schema models, and ontology-driven structures. - Manage UX-UXP Alignment: Oversee wireframes, user journeys, and workflow designs via tools like Figma and Miro in collaboration with the design team. - Measure Outcomes: Define product KPIs and drive post-launch iteration cycles based on usage, performance, and business feedback. Required Skills & Expertise: - Software Product Leadership: 7-12 years in software/tech industry with at least 3 years in AI/ML-based product management roles. - Strategic Thinking & Execution: Ability to drive both big-picture thinking and detailed execution with cross-functional teams. - Agentic AI Concepts: Strong conceptual understanding of Agentic AI and how intelligent agents collaborate to automate business workflows. - Agent Orchestration Awareness: Familiarity with platforms like LangGraph or Crew.ai that orchestrate roles to enable modular and auditable AI behavior. - ML Fundamentals: Working understanding of core AI/ML concepts including classification, clustering, and other supervised/unsupervised learning approaches. - Cloud AI Services (Desirable): Basic understanding of cloud computing and cloud-based AI platforms for deploying intelligent workflows. - Meta-Modelling & Knowledge Structures: Proficiency in designing schemas, taxonomies, or ontologies. - Information Structuring: Proven ability to turn raw inputs into actionable workflows and structured schemas using mind maps or process maps. - Narrative & Visualization: Strong storytelling through various tools; ability to articulate strategy and progress to executives. - Product & Process Tools: Proficiency in tools like Miro, Figma, JIRA, Asana, Confluence, Excel/Google Sheets, PowerPoint, Notion, and basic BI tools. - Key Stakeholders: Ability to work closely with CxOs, Innovation Leaders, Engineering & AI Teams, Business & Operations Teams, and Customers. Qualifications: - Bachelors or Masters degree from Tier-1 institutions (IIT, IIM, ISB, IIIT, BITS preferred). - 7 to 12 years of professional experience, including product leadership in AI-first or data-driven product lines. - Proven success in delivering AI-based transformation, automation, or enterprise software products. Join RocketFrog.ai to shape the future of Agentic AI and intelligent enterprise systems, own and scale high-impact AI product lines across industry verticals, collaborate with world-class researchers, AI engineers, and product strategists, thrive in a flat, fast-paced, innovation-first environment, and drive real business impact with measurable transformation at the intersection of AI and industry.,
RocketFrog.ai is an AI Studio for Business, delivering cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services industries. Specializing in Agentic AI, Deep Learning models, and AI-driven Product Development to create real business impact, RocketFrog.ai invites you to take a Rocket Leap with Science. As an Agentic AI Engineer with 3 to 5 years of experience in designing, developing, and deploying AI-powered applications, your role will involve implementing Agentic AI frameworks such as LangGraph and CrewAI to build intelligent workflows. You will utilize multiple LLMs like ChatGPT, Gemini, and Claude, understanding their strengths and limitations while optimizing LLM interactions through advanced Prompt Engineering techniques. Additionally, you will leverage Retrieval-Augmented Generation (RAG) techniques for enhanced AI response generation and work with AI platforms like Hugging Face/GitHub to download and fine-tune pretrained models. Developing scalable system architectures using FastAPI, Uvicorn, Celery, and AI pipelines will be part of your responsibilities, along with applying best practices in ML engineering and staying updated with the latest AI advancements through continuous learning and global research scanning. The ideal candidate should possess excellent communication skills to articulate AI concepts clearly and have hands-on experience in Prompt Engineering, Agentic AI frameworks, Retrieval-Augmented Generation techniques, system architecture, AI/ML platforms, and ML Frameworks like Keras, TensorFlow, or PyTorch. A strong foundation in Data Structures, Probability & Statistics, and Linear Algebra is essential, along with the ability to explain AI/ML concepts to both technical and non-technical stakeholders. A Bachelors or Masters degree in Computer Science, IT, Data Science, or AI, combined with 3 to 5 years of work experience as an AI Engineer, is required for this role. Join RocketFrog.ai to be part of a growth journey, work in an AI-driven company making real business impact, collaborate with leading AI experts, and enjoy a dynamic, fast-paced environment with career growth opportunities. If you are passionate about AI & innovation, let's connect!,
RocketFrog.ai is an AI Studio for Business, specializing in delivering advanced AI solutions across various industries such as Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services. We are focused on Agentic AI, Deep Learning models, and AI-driven Product Development to make a significant impact on businesses. Are you ready to take a Rocket Leap with Science As an Assistant Agentic AI Engineer at RocketFrog.ai, you will need at least 1 year of experience in developing LangChain/LangGraph-based solutions. The ideal candidate should possess a foundational understanding of LLMs, Prompt Engineering, AI Frameworks, and a strong willingness to learn and keep up with the latest advancements in AI. Your key responsibilities will include assisting in implementing Agentic AI frameworks like LangGraph, LangChain, CrewAI to develop intelligent workflows. You will work with various LLMs such as ChatGPT, Gemini, Claude to comprehend their capabilities and limitations. Additionally, you will support Prompt Engineering efforts to enhance LLM interactions and utilize Retrieval-Augmented Generation (RAG) techniques for improved AI response generation. Experimenting with pretrained models on platforms like Hugging Face/GitHub, contributing to system architectures using FastAPI, Uvicorn, Celery, and AI pipelines, and building interactive AI applications using Streamlit will also be part of your role. You will be involved in ML model development, applying the model development lifecycle and performance evaluation metrics while staying updated on new AI innovations through continuous learning. Required Skills & Expertise: - Basic experience in LangChain/LangGraph-based solutions, Prompt Engineering, Agentic AI frameworks, Retrieval-Augmented Generation (RAG) techniques, System architecture, AI/ML platforms, and ML Frameworks like Keras, TensorFlow, or PyTorch. - Proficiency in Streamlit for AI application development and strong foundational knowledge in Data Structures, Probability & Statistics, and Machine Learning Concepts. Additional Skills: - Ability to articulate AI/ML concepts to both technical and non-technical stakeholders. - Strong problem-solving skills and a keenness to learn. Required Background: - Bachelor's degree in Computer Science, IT, Data Science, or AI. - Hands-on experience of at least 1 year in AI/ML development. Why Join RocketFrog.ai - Be a part of RocketFrog.ai's growth journey and make a real business impact with AI. - Gain practical experience with cutting-edge AI technologies. - Learn from industry experts and advance your career in Agentic AI. If you are passionate about AI and eager to expand your skills, let's connect!,
About RocketFrog.ai: RocketFrog.ai is an AI Studio for Business, delivering deep science and real-world impact through cutting-edge AI solutions. We specialize in Agentic AI, Deep Learning, and full-stack AI-first product development across Healthcare, Pharma, BFSI, and Hi-Tech industries. 🚀 Ready to take a Rocket Leap with Science? Role Overview: We are seeking a high-potential Machine Learning Engineer with 2–4 years of experience and a strong academic background to join our AI innovation team. You’ll design and implement ML models that drive intelligent automation and AI-first products for enterprise-grade use cases. Key Responsibilities: Design, develop, and optimize machine learning models for NLP, computer vision, or multi-modal applications Build scalable pipelines for data preprocessing, training, and evaluation Translate academic research and ideas into efficient, production-ready implementations Explore and research relevant papers to propose plausible approaches for solving business problems Apply optimization techniques such as quantization, pruning, and distillation Collaborate with product, engineering, and domain teams to align ML systems with business needs Stay updated with the latest developments in ML frameworks, tooling, and deployment strategies Required Skills & Expertise: Strong knowledge of Linear Algebra, Probability, and Statistics Machine Learning Proficiency: Hands-on experience with supervised, unsupervised, and deep learning methods (CNNs, RNNs, Transformers) Model Training Workflows: Familiarity with training-validation pipelines, k-fold cross-validation, early stopping, and hyperparameter tuning Evaluation Metrics: Experience evaluating models using confusion matrix, PR curves, F1 score, accuracy, and ROC-AUC Frameworks: Proficient in PyTorch with strong coding practices (clean, modular, testable) Tools: Experience with model libraries and hubs such as Hugging Face Transformers, TorchVision, etc. Data Handling: Ability to manage large datasets, custom data loaders, and data augmentation workflows Deployment: Experience with model packaging (TorchScript, ONNX) and serving (FastAPI, TorchServe) Experimentation & Reproducibility: Familiarity with tools like Weights & Biases, MLflow, or equivalent Desirable Skills: Experience with seq2seq models, LLM fine-tuning, or multi-modal architectures Hands-on with knowledge distillation and other model compression techniques Exposure to Agentic AI or orchestration frameworks like LangChain or LangGraph Understanding of vector databases, embedding stores, and RAG pipelines Contributions to open-source ML projects or academic research Cloud AI Platforms: Preference for experience with Amazon SageMaker , Azure AI Services , Google Vertex AI , or Azure AI Foundry What We Look For: Strong foundations in mathematics, algorithmic thinking, and ML system design Curiosity-driven mindset and a passion for solving complex problems Ability to convert ideas into scalable and efficient solutions Desire to learn and grow in a high-performance, innovation-first environment Clear communication and collaborative problem-solving skills Required Education Background: B.Tech / M.Tech / MS from IISc, IITs, Top NITs, BITS Pilani, IIIT-H, DTU, NSUT , or equivalent Tier-1 institutions. Why Join RocketFrog.ai? 🚀 Be part of the growth journey of RocketFrog.ai! Work in an AI-driven company that is making a real business impact. Enjoy a dynamic, fast-paced environment with career growth opportunities. Apply now and be part of our journey to shape the future of AI 🚀
About Us: RocketFrog.ai is an AI Studio for Business , delivering cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services industries . We specialize in Agentic AI, Deep Learning models, and Product Development to create real business impact. 🚀 Ready to take a Rocket Leap with Science? Role Overview: We are seeking a Full Stack Developer with 3 to 5 years of experience to build scalable, high-performance applications . You will work closely with our Product Manager/ Business Analyst, UX Experts, and AI Engineers to develop innovative AI-driven products. Key Responsibilities: Develop high-quality software and web applications as an individual contributor . Design and implement scalable, testable, and efficient code . Collaborate with cross-functional teams, including Product, UX, and AI Engineering . Optimize application performance and troubleshoot technical challenges. Provide technical guidance to a small team of developers when needed. Required Skills & Expertise Desire to learn and a go-getter attitude to solve technical challenges. Expertise in HTML, CSS, JavaScript, and React.js . Strong programming skills in Node.js and Python . Experience with Firebase/Supabase . Hands-on experience with AWS, Azure, or GCP cloud environments . Deep understanding of data structures and algorithms . Familiarity with Modern AI, LLMs, and Generative AI (a plus). Required Background B.Tech. in Computer Science, IT, or Electrical Engineering . 3 to 5 years of experience as a Software Developer . Immediate joiners preferred . Why Join RocketFrog.ai? Be part of the growth journey of RocketFrog.ai 🚀 Work on AI-driven innovations that create real business impact. Enjoy autonomy and career growth opportunities in a fast-paced environment.
About Us: RocketFrog.ai is an AI Studio for Business , delivering cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services industries . We specialize in Agentic AI, Deep Learning models, and Product Development to create real business impact. 🚀 Ready to take a Rocket Leap with Science? Role Overview: We are looking for a DevOps Engineer with 3–5 years of hands-on experience in cloud infrastructure, CI/CD automation, and Linux systems. The ideal candidate will have excellent knowledge of Linux environments, strong problem-solving skills, and proven expertise in at least one major cloud platform (Azure or AWS). Key Responsibilities: ● Design, implement, and manage CI/CD pipelines for scalable deployments. ● Configure and maintain cloud infrastructure on Azure or AWS. ● Collaborate with developers, AI engineers, and solution architects for seamless integration and delivery. ● Manage containerization and orchestration using Docker and Kubernetes. ● Manage Mobile Device Management (MDM) for Ubuntu laptops of all employees. ● Manage internal cloud storage and ensure secure, organized access. ● Establish and enforce DevOps best practices within the engineering team. Required Skills & Expertise ● Cloud Expertise: Proficiency in at least one - Azure or AWS (in-depth knowledge required). ● Linux Mastery: Strong hands-on experience in Linux administration, troubleshooting, and shell scripting. ● CI/CD Pipelines: Experience with GitHub Actions, Jenkins, or GitLab CI. ● Containerization : Docker and Kubernetes for scalable deployments. ● Networking & Security: Understanding of firewalls, VPNs, IAM, and security best practices. ● Monitoring & Production Environments (Optional): Familiarity with Prometheus, Grafana, ELK, or equivalent tools. ● Desirable Skills : Experience with Infrastructure as Code (Terraform/Ansible/CloudFormation). Required Background ● Bachelor’s degree in Computer Science, IT, or related field. ● 3–5 years of experience in DevOps engineering. ● Experience working in AI/ML product environments (preferred). Why Join RocketFrog.ai? ● Be part of the growth journey of RocketFrog.ai 🚀 ● Work on AI-driven innovations with real business impact. ● Collaborate with top AI engineers, architects, and solution experts. ● Enjoy autonomy and career growth opportunities in a fast-paced environment.
About RocketFrog.ai: RocketFrog.ai is an AI Studio for Business, delivering deep science and real-world impact through cutting-edge AI solutions. We specialize in Agentic AI, Deep Learning, and full-stack AI-first product development across Healthcare, Pharma, BFSI, and Hi-Tech industries. 🚀 Ready to take a Rocket Leap with Science? Role Overview: We are seeking a high-potential Machine Learning Engineer with 2–4 years of experience and a strong academic background to join our AI innovation team. You’ll design and implement ML models that drive intelligent automation and AI-first products for enterprise-grade use cases. Key Responsibilities: Design, develop, and optimize machine learning models for NLP, computer vision, or multi-modal applications Build scalable pipelines for data preprocessing, training, and evaluation Translate academic research and ideas into efficient, production-ready implementations Explore and research relevant papers to propose plausible approaches for solving business problems Apply optimization techniques such as quantization, pruning, and distillation Collaborate with product, engineering, and domain teams to align ML systems with business needs Stay updated with the latest developments in ML frameworks, tooling, and deployment strategies Required Skills & Expertise: Strong knowledge of Linear Algebra, Probability, and Statistics Machine Learning Proficiency: Hands-on experience with supervised, unsupervised, and deep learning methods (CNNs, RNNs, Transformers) Model Training Workflows: Familiarity with training-validation pipelines, k-fold cross-validation, early stopping, and hyperparameter tuning Evaluation Metrics: Experience evaluating models using confusion matrix, PR curves, F1 score, accuracy, and ROC-AUC Frameworks: Proficient in PyTorch with strong coding practices (clean, modular, testable) Tools: Experience with model libraries and hubs such as Hugging Face Transformers, TorchVision, etc. Data Handling: Ability to manage large datasets, custom data loaders, and data augmentation workflows Deployment: Experience with model packaging (TorchScript, ONNX) and serving (FastAPI, TorchServe) Experimentation & Reproducibility: Familiarity with tools like Weights & Biases, MLflow, or equivalent Desirable Skills: Experience with seq2seq models, LLM fine-tuning, or multi-modal architectures Hands-on with knowledge distillation and other model compression techniques Exposure to Agentic AI or orchestration frameworks like LangChain or LangGraph Understanding of vector databases, embedding stores, and RAG pipelines Contributions to open-source ML projects or academic research Cloud AI Platforms: Preference for experience with Amazon SageMaker , Azure AI Services , Google Vertex AI , or Azure AI Foundry What We Look For: Strong foundations in mathematics, algorithmic thinking, and ML system design Curiosity-driven mindset and a passion for solving complex problems Ability to convert ideas into scalable and efficient solutions Desire to learn and grow in a high-performance, innovation-first environment Clear communication and collaborative problem-solving skills Required Education Background: B.Tech / M.Tech / MS from IISc, IITs, Top NITs, BITS Pilani, IIIT-H, DTU, NSUT , or equivalent Tier-1 institutions. Why Join RocketFrog.ai? 🚀 Be part of the growth journey of RocketFrog.ai! Work in an AI-driven company that is making a real business impact. Enjoy a dynamic, fast-paced environment with career growth opportunities. Apply now and be part of our journey to shape the future of AI 🚀