At CredArtha, we are revolutionizing financial intelligence with FINA (Financial Intelligence & Neural Analyst), our proprietary vertical LLM designed to process, analyze, and generate financial insights. Our mission is to empower financial institutions, businesses, and individuals with AI-driven precision, efficiency, and automation in financial decision-making. We are looking for a Senior Machine Learning Engineer who is passionate about LLMs, deep learning, and NLP and is eager to build cutting-edge AI models tailored for financial data processing, document understanding, and predictive analytics. If you have expertise in training and fine-tuning open-source LLMs, developing retrieval-augmented generation (RAG) systems, and optimizing NLP models for real-world applications, we want you on our team. Your Role & Responsibilities As a Senior Machine Learning Engineer, you will: LLM Development & Optimization - Design, train, and fine-tune FINA, leveraging open-source LLMs such as LLaMA, Falcon, Mistral, and GPT-J for financial applications. - Implement parameter-efficient fine-tuning (PEFT) techniques to optimize model efficiency while maintaining accuracy. - Work on self-learning mechanisms to ensure FINA continuously evolves through user interactions and real-time financial data ingestion. NLP & Financial Data Processing - Develop and enhance NLP models for document understanding, financial risk analysis, and transaction categorization. - Work on named entity recognition (NER), sentiment analysis, topic modeling, and automated financial report generation. - Design embedding models and vector search architectures to create a robust financial knowledge base. RAG & AI-Powered Financial Insights - Implement retrieval-augmented generation (RAG) pipelines to enhance LLM response accuracy and domain knowledge. - Build custom search and retrieval mechanisms using vector databases like FAISS, Weaviate, or ChromaDB. - Develop multi-modal AI models that combine structured and unstructured financial data to provide deep insights and analytics. Deployment, MLOps & Scalability - Deploy and manage FINA using cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and MLOps best practices. - Optimize models for low-latency inference and scalability using quantization, distillation, and model pruning techniques. - Implement real-time monitoring and feedback loops to improve model performance and user experience. Ideal Candidate Profile We are looking for someone who has: - Hands-on experience in Machine Learning, Deep Learning, and NLP (LLMs, Transformers, RNNs, etc.). - Strong proficiency in Python, with experience in TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. - Expertise in fine-tuning LLMs, self-supervised learning, and AI explainability. - Experience working with financial data (bank statements, credit reports, transactional data, risk models, etc.). - Strong knowledge of vector embeddings, search algorithms, and RAG implementations. - Familiarity with database technologies (SQL, MongoDB, NoSQL) and cloud platforms (AWS, GCP, Azure). Bonus: Experience in financial risk modeling, fraud detection, or credit scoring models. Why Join CredArtha - Innovate at the intersection of AI & Finance - Work on groundbreaking AI-driven financial solutions. - Build FINA from the ground up - Develop a vertical LLM that will be at the core of CredArtha's technology stack. - Impact millions - Help businesses and financial institutions automate, analyze, and optimize decision-making with AI. - Freedom to experiment - Push the boundaries of deep learning and NLP in a fast-paced, innovation-driven environment.,
About Calaxis by Credartha Calaxis by Credartha is on a mission to unchain AI development. We believe the $15 trillion promise of AI is being held hostage by a broken, fragmented, and prohibitively expensive development process. Our integrated pipeline is engineered to master data and empower organizations to own their future by building trustworthy, domain-specific AI. We are eliminating the bottlenecks of slow, biased, and unscalable manual annotation by pioneering a new method. Our core innovation, the "Council of Judges," automates expert data validation, replacing human armies with a cascade of specialized AI models to deliver systematic, scalable quality assurance. The Role We are looking for a pioneering Data Science Researcher to be the engine of our innovation and the architect of our technological advantage. You will be responsible for advancing the core intellectual property that underpins our entire platform. This role goes beyond applying existing models; you will be conducting foundational research to build, refine, and scale our proprietary methodologies, including our "Council of Judges" and our "Deeptech Self-Improving Flywheel". Your work will directly contribute to keeping Calaxis at the forefront of the AI evolution, ensuring our methods remain more efficient and powerful than the capital-intensive approaches that dominate the market. If you are driven to solve the most challenging problems in AI data generation, validation, and model improvement, and want to see your research have a direct commercial impact, this role is for you. What You'll Do: Lead foundational research and development of our "Council of Judges" AI, including advancing our proprietary "Two-Tiered" training paradigm. Design and implement novel algorithms and experiments to enhance the "Deeptech Self-Improving Flywheel," ensuring our entire system becomes more intelligent and efficient over time. Spearhead the research, testing, and integration of advanced Reinforcement Learning (RL) techniques to enhance our data generation and validation capabilities. Drive the continued development of our custom architectures, including our Multimodal LLM (VLM) for interpreting visual data and our Retrieval-Augmented Generation (RAG) pipeline. Innovate on our Central Dataset Generator to improve the quality and complexity of our automatically generated instruction-following datasets. Develop new methods for automated data validation and quality assurance, pushing the boundaries of what is possible in building trustworthy AI. Publish your findings in top-tier AI conferences and journals, establishing Calaxis as a thought leader in the industry. Collaborate closely with the engineering team to translate cutting-edge research into robust, scalable components of our production platform. Who You Are: You possess a Ph.D. , Master's or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record. You have proven experience in conducting original research in Natural Language Processing (NLP), and Machine Learning, particularly with Large Language Models (LLMs). You have deep expertise in areas such as Reinforcement Learning (especially RLHF), model fine-tuning, retrieval-augmented generation (RAG), and data generation techniques. Experience with multimodal models (V)LM is a significant advantage. You are a master of scientific programming with expert-level skills in Python and deep learning frameworks like PyTorch or TensorFlow. You have a pioneering mindset and are driven by the challenge of creating new methods, not just applying existing ones. You are capable of working independently to define research problems and see them through to production-ready solutions. Why Join Calaxis? This is a rare opportunity to shape the core technology of a company set to redefine the AI development lifecycle. At Calaxis, your research will not be a theoretical exercise; it will be the "core IP" that drives our business. You will have the resources and autonomy to pursue breakthrough ideas and see them deployed on a platform designed to impact every major industry vertical. Join us and build the future of AI.
At CredArtha, we are revolutionizing financial intelligence with FINA (Financial Intelligence & Neural Analyst), our proprietary vertical LLM designed to process, analyze, and generate financial insights. Our mission is to empower financial institutions, businesses, and individuals with AI-driven precision, efficiency, and automation in financial decision-making. We are looking for a Senior Machine Learning Engineer who is passionate about LLMs, deep learning, and NLP and is eager to build cutting-edge AI models tailored for financial data processing, document understanding, and predictive analytics. If you have expertise in training and fine-tuning open-source LLMs, developing retrieval-augmented generation (RAG) systems, and optimizing NLP models for real-world applications, we want you on our team. As a Senior Machine Learning Engineer, you will: LLM Development & Optimization - Design, train, and fine-tune FINA, leveraging open-source LLMs such as LLaMA, Falcon, Mistral, and GPT-J for financial applications. - Implement parameter-efficient fine-tuning (PEFT) techniques to optimize model efficiency while maintaining accuracy. - Work on self-learning mechanisms to ensure FINA continuously evolves through user interactions and real-time financial data ingestion. NLP & Financial Data Processing - Develop and enhance NLP models for document understanding, financial risk analysis, and transaction categorization. - Work on named entity recognition (NER), sentiment analysis, topic modeling, and automated financial report generation. - Design embedding models and vector search architectures to create a robust financial knowledge base. RAG & AI-Powered Financial Insights - Implement retrieval-augmented generation (RAG) pipelines to enhance LLM response accuracy and domain knowledge. - Build custom search and retrieval mechanisms using vector databases like FAISS, Weaviate, or ChromaDB. - Develop multi-modal AI models that combine structured and unstructured financial data to provide deep insights and analytics. Deployment, MLOps & Scalability - Deploy and manage FINA using cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and MLOps best practices. - Optimize models for low-latency inference and scalability using quantization, distillation, and model pruning techniques. - Implement real-time monitoring and feedback loops to improve model performance and user experience. Ideal Candidate Profile We are looking for someone who has: - Hands-on experience in Machine Learning, Deep Learning, and NLP (LLMs, Transformers, RNNs, etc.). - Strong proficiency in Python, with experience in TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. - Expertise in fine-tuning LLMs, self-supervised learning, and AI explainability. - Experience working with financial data (bank statements, credit reports, transactional data, risk models, etc.). - Strong knowledge of vector embeddings, search algorithms, and RAG implementations. - Familiarity with database technologies (SQL, MongoDB, NoSQL) and cloud platforms (AWS, GCP, Azure). Bonus: Experience in financial risk modeling, fraud detection, or credit scoring models. Why Join CredArtha - Innovate at the intersection of AI & Finance. Work on groundbreaking AI-driven financial solutions. - Build FINA from the ground up. Develop a vertical LLM that will be at the core of CredArtha's technology stack. - Impact millions. Help businesses and financial institutions automate, analyze, and optimize decision-making with AI. - Freedom to experiment. Push the boundaries of deep learning and NLP in a fast-paced, innovation-driven environment.,
AI Research Scientist, Core AI Engine Company: Calaxis Location: Vapi, Gujarat Position Type: Full-Time About Calaxis: The Future of AI is Built on Trust The $15 trillion promise of artificial intelligence is currently being held hostage by a single, pervasive bottleneck: the quality of domain-specific data. Today, building trustworthy, specialized AI is an artisanal, slow, and prohibitively expensive process reserved for tech giants with billion-dollar budgets. This broken model kills innovation at the source, especially in markets like India. Calaxis is on a mission to change this. We are a deep-tech venture building a foundational platform to automate the end-to-end creation of flawless, high-quality datasets for any AI application. Our core innovation is a proprietary, self-improving system that uses a cascade of specialized AI models to systematically validate data for accuracy, compliance, and insight. By solving the data quality problem at its core, we are moving the AI industry from a capital-intensive to a method-intensive paradigm, democratizing the development of high-stakes AI for every vertical, from finance and healthcare to law and space tech. We are not just building another tool; we are architecting the trusted foundry for the next generation of artificial intelligence. The Mission: Architect Our Core AI Engine We are looking for a brilliant and pioneering AI Research Scientist to be the technical architect of our most defensible asset: our core AI validation engine. This is not a role for someone who simply applies existing models. This is a rare opportunity to design and build the core intellectual property of a deep-tech company from the ground up. Your mission will be to translate the most advanced concepts from academic research into a robust, scalable, and production-ready system that will define the new industry standard for data quality. You will own the technical vision for our validation cascade, building the AI agents that will serve as the heart of the Calaxis platform. You will be the "Architect" who draws the blueprints for our core technology, mentoring a passionate team of "Builders" and shaping the future of our company. What You Will Do: Architect and Build Our Core AI Validation Engine: Take full ownership of the design, development, and implementation of our foundational AI validators. This includes building models capable of: Ensuring compliance with complex regulatory and legal rules. Validating technical and mathematical accuracy in specialized documents. Interpreting and reasoning about multimodal data, including charts and graphs. Performing advanced quality assurance and using external tools to ground information against real-time data. Translate Research into Reality: Implement and innovate upon state-of-the-art AI frameworks. You will be working hands-on to build systems for: Multimodal visual understanding. Transparent and verifiable logical reasoning. Powerful, internet-enabled tool-using agents. Pioneer New Methodologies: Lead the implementation of novel training paradigms designed to instill deep domain expertise in our models, making them world-class validators. Build for Extensibility: Design a standardized framework that will allow Calaxis to rapidly develop and deploy new validation models for any future vertical our customers need. Develop the Customer-Facing Data Gatherer: Architect and build the AI agent that will empower our customers to automatically gather raw data from the internet, serving as the first step in the Calaxis pipeline. Collaborate and Mentor: Work closely with our MLOps and Engineering teams to integrate your models into our scalable PaaS. Act as a technical leader and mentor for our talented team, elevating the skills of the entire organization. Drive Innovation: Stay at the forefront of AI research, continuously identifying and prototyping new techniques that can enhance our platform and solidify our technical moat. Who You Are: The Expert We Need While modern LLMs are powerful tools, this role is not about using them; it's about architecting the novel systems they will inhabit. We are seeking an individual with the deep, first-principles understanding required to build what doesn't exist yet. Required Qualifications: A PhD in Computer Science, AI, NLP, or a related field, OR equivalent industry experience demonstrated by a strong portfolio of building novel AI systems from scratch. Proven, hands-on experience implementing complex model architectures from academic papers (e.g., Transformers, Vision-Language Models, Diffusion Models, Agentic Frameworks). Deep expertise in at least one of the following areas: Multimodal AI (Vision-Language Models), AI Agents (Tool-Use, Planning), or advanced NLP for specialized domains (e.g., legal, financial). Exceptional proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. A profound understanding of the entire machine learning lifecycle, from data preprocessing and advanced fine-tuning techniques (SFT, RLHF, DPO) to model evaluation and deployment. Strong software engineering fundamentals and the ability to write clean, scalable, production-grade code. Preferred Qualifications (Bonus Points): A track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICLR). Direct experience implementing advanced AI frameworks for agentic tool-use, logical reasoning, or multimodal understanding. Experience building and deploying multi-agent AI systems. A passion for working in a fast-paced, product-driven startup environment. Why Join Calaxis? Solve a Fundamental Problem: You will be tackling one of the most significant challenges holding back the entire AI industry. The work you do here will have a ripple effect across every sector. Build from Zero to One: This is a greenfield opportunity to be the founding architect of a company's core technology. Your decisions and innovations will directly shape our product, culture, and success. Massive Impact and Ownership: You won't be a small cog in a large machine. You will have unparalleled ownership and the opportunity to build a platform that democratizes AI for millions of developers and businesses worldwide. A Culture of Learning and Ambition: Join a passionate founding team that believes in fostering talent. We are ambitious, agile, and dedicated to building a generational company. Competitive Compensation: We offer a highly competitive salary, significant equity, and comprehensive benefits to ensure you are rewarded for your foundational contributions. If you are a builder, a pioneer, and an expert who is driven to solve hard problems that matter, we want to hear from you. How to Apply: Please submit your resume, a link to your GitHub profile or portfolio, and a brief cover letter explaining why you are the right person to architect the future of AI data quality at Calaxis.
Job Description: MLOps & AI Infrastructure Engineer Company: Credartha Location: Vapi, Gujarat Position Type: Full-Time About Calaxis by Credartha : The Future of AI is Built on Trust The $15 trillion promise of artificial intelligence is currently being held hostage by a single, pervasive bottleneck: the quality of domain-specific data. Today, building trustworthy, specialized AI is an artisanal, slow, and prohibitively expensive process reserved for tech giants with billion-dollar budgets. Calaxis is on a mission to change this. We are a deep-tech venture building a foundational platform to automate the end-to-end creation of flawless, high-quality datasets for any AI application. Our core innovation is a proprietary, self-improving system that uses a cascade of specialized AI models to systematically validate data for accuracy, compliance, and insight. By solving the data quality problem at its core, we are moving the AI industry from a capital-intensive to a method-intensive paradigm, democratizing the development of high-stakes AI for every vertical. What You Will Do: Architect the AI Flywheel: Design and build the end-to-end MLOps infrastructure for our entire platform. This includes creating automated pipelines for training, validation, deployment, and the crucial feedback loop that makes our system self-improving. Build a Multi-Tenant PaaS: Engineer a scalable, secure, and efficient multi-tenant architecture on AWS to support our customer-facing services. This includes managing on-demand compute for customer-driven fine-tuning (SFT & RL) and model deployment jobs. Automate Everything (CI/CD/CT): Implement and manage a sophisticated CI/CD/CT (Continuous Integration/Continuous Deployment/Continuous Training) system for our suite of AI models and backend services, ensuring rapid and reliable updates. Optimize LLM Serving: Deploy and manage high-throughput, low-latency model serving infrastructure for our internal AI validators and for customer-deployed models. Master GPU Resources: Develop and manage systems for efficient scheduling, allocation, and monitoring of GPU resources across multiple training and inference workloads. Ensure Production-Grade Reliability: Implement comprehensive monitoring, logging, and alerting for the entire platform using tools like AWS CloudWatch to ensure high availability and performance. Champion Infrastructure as Code (IaC): Use tools like Terraform or AWS CloudFormation to define and manage our infrastructure, ensuring it is version-controlled, repeatable, and scalable. Who You Are: The Expert We Need Required Qualifications: 5+ years of professional experience in a DevOps, SRE, or MLOps role, with a proven track record of building and managing production infrastructure for scalable applications. Deep expertise in cloud services, particularly AWS (e.g., EC2, S3, EKS/ECS, Lambda, RDS, API Gateway). Strong, hands-on experience with containerization (Docker) and container orchestration (Kubernetes). Proven experience designing and implementing CI/CD pipelines for complex applications (e.g., Jenkins, GitLab CI, AWS CodePipeline). Proficiency in scripting and automation, with strong skills in Python. A deep understanding of networking, security, and infrastructure best practices. Preferred Qualifications (Bonus Points): Direct experience building MLOps pipelines for training and deploying Large Language Models (LLMs). Familiarity with LLM-specific serving frameworks (e.g., vLLM, Text Generation Inference, Triton). Experience with ML platforms and tools like Kubeflow, MLflow, or Airflow. Experience building infrastructure for multi-tenant SaaS or PaaS products. Knowledge of advanced fine-tuning techniques like Reinforcement Learning from Human Feedback (RLHF) or Direct Preference Optimization (DPO) and their infrastructure requirements. AWS certifications (e.g., DevOps Engineer, Solutions Architect). Why Join Credartha? Build from the Ground Up: This is a rare greenfield opportunity to be the founding infrastructure architect for a deep-tech company. Your design choices will have a lasting impact on the entire platform. Solve Mission-Critical Challenges: You will be working on complex, interesting problems at the intersection of distributed systems, cloud infrastructure, and cutting-edge AI. Massive Impact and Ownership: You won't be maintaining legacy systems. You will have unparalleled ownership and the opportunity to build the operational foundation of a platform poised to disrupt a $15 trillion market. A Culture of Excellence: Join a passionate founding team that values technical rigor, innovation, and collaboration. Competitive Compensation: We offer a highly competitive salary, significant equity, and comprehensive benefits to ensure you are rewarded for your foundational contributions. If you are a world-class infrastructure engineer who is excited by the challenge of building the engine for the future of AI, we want to hear from you. How to Apply: Please submit your resume and a brief cover letter or message highlighting your experience building scalable, production-grade infrastructure and why you are excited about the mission at Calaxis.
As an MLOps & AI Infrastructure Engineer at Credartha, located in Vapi, Gujarat, you will be part of a team dedicated to revolutionizing the AI industry by addressing the critical issue of data quality. Calaxis by Credartha is focused on automating the creation of high-quality datasets for AI applications, making the development of specialized AI more accessible and cost-effective across various industries. Your responsibilities will include architecting the AI Flywheel by designing and implementing the end-to-end MLOps infrastructure, building a Multi-Tenant PaaS on AWS, automating CI/CD/CT processes for AI models and backend services, optimizing LLM serving infrastructure, managing GPU resources efficiently, ensuring production-grade reliability through monitoring and alerting, and championing Infrastructure as Code using tools like Terraform or AWS CloudFormation. To excel in this role, you should have at least 5 years of experience in DevOps, SRE, or MLOps roles, with a strong background in cloud services, particularly AWS, containerization, CI/CD pipeline design, Python scripting, networking, security, and infrastructure best practices. Bonus points if you have experience with MLOps pipelines for Large Language Models, LLM-specific serving frameworks, ML platforms like Kubeflow and MLflow, and advanced fine-tuning techniques such as RLHF and DPO. Joining Credartha offers you the opportunity to build the infrastructure foundation for a deep-tech company, work on mission-critical challenges at the forefront of AI technology, have significant impact and ownership over your projects, be part of a culture that values technical excellence and innovation, and receive competitive compensation with equity and benefits. If you are a skilled infrastructure engineer passionate about shaping the future of AI and eager to tackle complex challenges in a dynamic environment, we invite you to apply by submitting your resume and a cover letter highlighting your experience in building scalable, production-grade infrastructure and your enthusiasm for the mission at Calaxis.,
Job Description: Project Manager, AI Platform About Calaxis (by Credartha) At Calaxis, we are on a mission to unchain the promise of Artificial Intelligence. We believe the future of AI is not just about bigger models, but better, more reliable data. Our vision is to move beyond the fragmented and expensive tools of today and create the world's first end-to-end AI Foundry —an integrated platform that empowers any organization to go from raw, unstructured data to a fine-tuned, production-grade AI model with confidence and speed. We are a deep-tech company, we are building the foundational platform for the next generation of trustworthy, specialized AI. The Role We are looking for an exceptional Project Manager to take ownership of the Calaxis product roadmap and drive its execution from vision to deployment. This is a pivotal role at the intersection of cutting-edge AI research and scalable platform engineering. You will be the central hub for our R&D organization, ensuring that our ambitious technical goals translate into a world-class product that delights our users. This is a hands-on role for a leader who is passionate about building complex, technical products and thrives in a fast-paced, innovative environment. What You Will Do: Own the Product Roadmap: You will be responsible for creating, maintaining, and communicating the product roadmap for our seven-module AI development platform. Bridge Research and Engineering: Act as the critical link between our Core AI Research team and our Platform & MLOps Engineering team. You will translate research breakthroughs and architectural concepts into a clear, actionable product backlog. Drive Execution: Manage sprints, define timelines, and orchestrate resource allocation across the R&D organization to ensure we meet our ambitious product milestones on schedule. Define Technical Specifications: Work closely with senior engineers and AI scientists to define detailed technical requirements and specifications for new features and platform enhancements. Lead Agile Processes: Implement and lead our agile development process, facilitating sprint planning, stand-ups, and retrospectives to foster a culture of high-velocity execution and continuous improvement. Communicate and Align: Ensure that all stakeholders, from the Co-CEOs to individual engineers, are aligned on the product vision, strategy, and short-term priorities. Who You Are: A Technical Leader: You have a strong background in software engineering, technical product management, or a similar field. You are comfortable diving deep into technical discussions and making architectural trade-off decisions with the engineering team. Experienced in AI/ML: You have demonstrable experience managing complex AI or Machine Learning projects. You understand the nuances of the ML lifecycle, from data ingestion and processing to model training and deployment. A Superb Project Manager: You are an expert in agile and scrum methodologies and are proficient with project management tools like Jira. You have a proven track record of delivering complex software projects on time. An Excellent Communicator: You can articulate a complex technical vision to different audiences and are skilled at fostering collaboration between highly specialized teams. Pragmatic and Driven: You are biased toward action and are adept at navigating the ambiguity and rapid pace of an early-stage, deep-tech startup. Nice-to-Haves: Hands-on experience with MLOps infrastructure and CI/CD pipelines for machine learning. Familiarity with the modern AI stack, including LLMs, fine-tuning techniques (SFT, RLAIF, DPO), and data pipelines. Experience working in a company that has built and scaled a developer-focused PaaS product. Why Join Us? Build the Future: You will be at the heart of building a platform that has the potential to redefine an entire industry. Technical Challenge: You will solve complex, first-of-their-kind problems at the intersection of AI, data, and infrastructure. Foundational Impact: As an early and senior member of the team, you will have a profound impact on our product, our culture, and our success. Visionary Leadership: Work directly with a passionate and driven Co-CEO team to bring a bold vision to life.
AI Research Scientist, Core AI Engine Company: Calaxis Location: Vapi, Gujarat Position Type: Full-Time About Calaxis: The Future of AI is Built on Trust The $15 trillion promise of artificial intelligence is currently being held hostage by a single, pervasive bottleneck: the quality of domain-specific data. Today, building trustworthy, specialized AI is an artisanal, slow, and prohibitively expensive process reserved for tech giants with billion-dollar budgets. This broken model kills innovation at the source, especially in markets like India. Calaxis is on a mission to change this. We are a deep-tech venture building a foundational platform to automate the end-to-end creation of flawless, high-quality datasets for any AI application. Our core innovation is a proprietary, self-improving system that uses a cascade of specialized AI models to systematically validate data for accuracy, compliance, and insight. By solving the data quality problem at its core, we are moving the AI industry from a capital-intensive to a method-intensive paradigm, democratizing the development of high-stakes AI for every vertical, from finance and healthcare to law and space tech. We are not just building another tool; we are architecting the trusted foundry for the next generation of artificial intelligence. The Mission: Architect Our Core AI Engine We are looking for a brilliant and pioneering AI Research Scientist to be the technical architect of our most defensible asset: our core AI validation engine. This is not a role for someone who simply applies existing models. This is a rare opportunity to design and build the core intellectual property of a deep-tech company from the ground up. Your mission will be to translate the most advanced concepts from academic research into a robust, scalable, and production-ready system that will define the new industry standard for data quality. You will own the technical vision for our validation cascade, building the AI agents that will serve as the heart of the Calaxis platform. You will be the "Architect" who draws the blueprints for our core technology, mentoring a passionate team of "Builders" and shaping the future of our company. What You Will Do: Architect and Build Our Core AI Validation Engine: Take full ownership of the design, development, and implementation of our foundational AI validators. This includes building models capable of: Ensuring compliance with complex regulatory and legal rules. Validating technical and mathematical accuracy in specialized documents. Interpreting and reasoning about multimodal data, including charts and graphs. Performing advanced quality assurance and using external tools to ground information against real-time data. Translate Research into Reality: Implement and innovate upon state-of-the-art AI frameworks. You will be working hands-on to build systems for: Multimodal visual understanding. Transparent and verifiable logical reasoning. Powerful, internet-enabled tool-using agents. Pioneer New Methodologies: Lead the implementation of novel training paradigms designed to instill deep domain expertise in our models, making them world-class validators. Build for Extensibility: Design a standardized framework that will allow Calaxis to rapidly develop and deploy new validation models for any future vertical our customers need. Develop the Customer-Facing Data Gatherer: Architect and build the AI agent that will empower our customers to automatically gather raw data from the internet, serving as the first step in the Calaxis pipeline. Collaborate and Mentor: Work closely with our MLOps and Engineering teams to integrate your models into our scalable PaaS. Act as a technical leader and mentor for our talented team, elevating the skills of the entire organization. Drive Innovation: Stay at the forefront of AI research, continuously identifying and prototyping new techniques that can enhance our platform and solidify our technical moat. Who You Are: The Expert We Need While modern LLMs are powerful tools, this role is not about using them; it's about architecting the novel systems they will inhabit. We are seeking an individual with the deep, first-principles understanding required to build what doesn't exist yet. Required Qualifications: A PhD in Computer Science, AI, NLP, or a related field, OR equivalent industry experience demonstrated by a strong portfolio of building novel AI systems from scratch. Proven, hands-on experience implementing complex model architectures from academic papers (e.g., Transformers, Vision-Language Models, Diffusion Models, Agentic Frameworks). Deep expertise in at least one of the following areas: Multimodal AI (Vision-Language Models), AI Agents (Tool-Use, Planning), or advanced NLP for specialized domains (e.g., legal, financial). Exceptional proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. A profound understanding of the entire machine learning lifecycle, from data preprocessing and advanced fine-tuning techniques (SFT, RLHF, DPO) to model evaluation and deployment. Strong software engineering fundamentals and the ability to write clean, scalable, production-grade code. Preferred Qualifications (Bonus Points): A track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICLR). Direct experience implementing advanced AI frameworks for agentic tool-use, logical reasoning, or multimodal understanding. Experience building and deploying multi-agent AI systems. A passion for working in a fast-paced, product-driven startup environment. Why Join Calaxis? Solve a Fundamental Problem: You will be tackling one of the most significant challenges holding back the entire AI industry. The work you do here will have a ripple effect across every sector. Build from Zero to One: This is a greenfield opportunity to be the founding architect of a company's core technology. Your decisions and innovations will directly shape our product, culture, and success. Massive Impact and Ownership: You won't be a small cog in a large machine. You will have unparalleled ownership and the opportunity to build a platform that democratizes AI for millions of developers and businesses worldwide. A Culture of Learning and Ambition: Join a passionate founding team that believes in fostering talent. We are ambitious, agile, and dedicated to building a generational company. Competitive Compensation: We offer a highly competitive salary, significant equity, and comprehensive benefits to ensure you are rewarded for your foundational contributions. If you are a builder, a pioneer, and an expert who is driven to solve hard problems that matter, we want to hear from you. How to Apply: Please submit your resume, a link to your GitHub profile or portfolio, and a brief cover letter explaining why you are the right person to architect the future of AI data quality at Calaxis.