Senior Engineering Manager mumbai metropolitan region 5 years None Not disclosed On-site Full Time

AryaXAI offers one of the most reliable, safe, and performant platforms for building Expert AI Agents & Models for mission-critical use cases. We stand at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by solving the most critical challenges in AI interpretability, alignment, and AI risk. Through our research labs in Mumbai, Paris, and London, we produce state-of-the-art techniques, models, and open-source tools. The platform integrates these components and scales them to the users and usage as needed. We are ardent supporters of OSS, and we not only open-source our research but also integrate multiple OSS to deliver the scale. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. Qualifications We are now looking for highly experienced Senior Engineering Managers who can lead the platform scale and components, and make it the industry best in the relevant components. Ideal candidates should have at least 5+ years of experience working with products that require heavy engineering and scaling requirements. Preference is from a product background with strong discipline around the stack and PR quality. 5+ years of experience in building and deploying enterprise-grade machine learning infra, SaaS software, data analytics solutions, or online platforms 2+ years of experience in building LLM infra or high-volume AI inference components. Academic degree in Computer Science, Engineering, or a related field Strong background in Python programming, Distributed computing, Engineering, big data processing, and cloud computing (AWS, Azure, GCP, on-premises) Experience in optimizing, scaling, and reliability of large-scale systems for various data modalities and AI models. Strong fundamentals and discipline in CI/CD pipelines, containerization (Docker, Kubernetes), and multi-cloud environments. Proven track record in product management in designing and delivering complex, high-performance solutions for large-scale enterprise customers without faults and the ability to auto-scale the systems through delivering the essential SLAs in production during inference Programming skills - expert in Python and solid coding practices Data Engineering - expert in MongoDB and strong fundamentals in data lakes, data storage, ETL pipelines, and building real-time data pipelines. Strong material skills, excellent communication, collaboration, and leadership skills with the ability to lead teams, mentor juniors, and work with other teams. Strong system architecture background that supports scaling in regulated industries. Experience in scaling AI/ML production systems using classic ML models, LLMs, and Deep Learning models on traditional hardware and high-performance computing. Roles And Responsibilities As Sr Engineering Manager, you'll be the main SPOC for all the engineering efforts behind the AryaXAI platform, serving customers in SaaS and on-premise modes and scaling multiple AI models in startups, SMEs, and highly regulated industries. You'll be responsible for designing, modifying, and scaling architecture, as well as designing and implementing scalable infrastructure for AI/ML solutions and data engineering. You'll be the SPOC with the R&D team, collecting the productized components and adding and scaling these components on the platform. Architect and scale AI inference platform and related components for all data modalities like Tabular, text, image, video, etc. You'll be responsible for designing the AI Ops and AI Inferencing Ops - model building, data preprocessing, model inferencing, explainability, monitoring, alignment, risk management components. You'll work on running multiple optimizations on inference speed and latencies to serve multiple AI models - LLMs, DL models, classic ML models, etc. You'll manage product development activities, including scrum reviews and productivity optimization across engineering, as well as collaborate with R&D/data science and front-end teams. You'll mentor and guide juniors and middle managers. You'll continuously improve the standards of the product, as well as the architecture, culture, and experience. What You’ll Get Highly competitive and meaningful compensation package One of the best health care plans that covers not only you but also your family, and offers the best Life insurance plans. A great team Micro-entrepreneurial tasks and responsibilities. Career development and leadership opportunities

Sr Software Engineer Developer mumbai metropolitan region 5 years None Not disclosed On-site Full Time

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. As a Senior Software Engineer, you will be a technical leader within the Platform Engineering team, responsible for architecting and implementing the most critical components of the AryaXAI platform. You will move beyond feature development to take ownership of entire systems, from initial design to production deployment and long-term reliability. Your role will involve tackling our most complex technical challenges, such as designing a cost-aware distributed job scheduler, building a high-performance AI inferencing setup or architecting our multi-cloud serverless framework. You will mentor junior engineers, drive technical decision-making, and set the standard for engineering excellence across the team. Key Responsibilities Architect and Own Core Systems: Lead the design, development, and operational ownership of large-scale distributed systems that are the foundation of our AI inferencing platform. Solve High-Complexity Problems: Tackle ambiguous and challenging engineering problems in areas like high-performance computing, distributed consensus, resource scheduling, and multi-cloud orchestration. Drive Technical Strategy: Influence the team's technical roadmap, evaluate new technologies, and make key architectural decisions that impact the entire platform's scalability, reliability, and cost-effectiveness. Mentor and Elevate the Team: Act as a technical mentor to other engineers, providing guidance through code reviews, design discussions, and pair programming, fostering a culture of high-quality engineering. Champion Best Practices: Set and enforce best practices for software development, including advanced testing strategies, CI/CD automation, system observability, and operational readiness. Performance Optimization: Profile and optimize critical system components, diving deep into performance bottlenecks across the stack, from Python code to network I/O and infrastructure configuration. Required Qualifications Extensive Experience: 5+ years of professional software engineering experience, with a demonstrated track record of designing and delivering complex backend systems. Expert in Python and have built scalable systems. Experience with Puppet/Chef/Ansible, Amazon Web Services (AWS), Git, Graphite and related tools for large-scale systems management is a must. Expert-Level Python: Deep, idiomatic knowledge of Python. This includes advanced concepts like asynchronous programming (asyncio), concurrency models (multithreading/multiprocessing), the Global Interpreter Lock (GIL), and experience with performance profiling and memory optimization tools. Proven System Design Skills: Demonstrable experience architecting scalable, fault-tolerant, and highly available distributed systems. You should be able to fluently discuss the trade-offs of different architectural patterns (e.g., microservices vs. monoliths), data consistency models (e.g., eventual vs. strong), and communication protocols (e.g., REST, gRPC, message queues). Deep Cloud And Distributed Systems Knowledge Cloud Infrastructure: Hands-on experience building and deploying production workloads on at least one major cloud provider (AWS, GCP, Azure). Messaging & Queuing: Practical experience with message brokers like RabbitMQ or Kafka for building asynchronous, event-driven systems. Caching Strategies: In-depth knowledge of caching patterns and hands-on experience with systems like Redis or Memcached. Database Expertise: A strong understanding of the trade-offs between SQL and NoSQL databases and experience designing data models for performance and scale. Mastery Of Containerization And Orchestration Docker: Expert-level understanding of Docker, including multi-stage builds, image optimization, and container networking. Kubernetes: Deep, hands-on experience managing production applications on Kubernetes. This goes beyond deploying simple services and includes understanding the Kubernetes control plane, writing custom controllers/operators, and configuring networking (CNI), storage (CSI), and security policies. Preferred Qualifications High-Performance Computing (HPC): Experience writing or integrating with performance-critical code using lower-level languages like C++, Go, orRust. Building Developer Platforms: Experience building internal developer platforms (IDPs), custom schedulers, or orchestration frameworks from the ground up. AIOps and AI Infrastructure: Familiarity with the AIOps lifecycle and experience with tools like Kubeflow, MLflow, or building model inference servers (e.g., Triton, TorchServe, or custom vLLM/SGLang implementations). Advanced Kubernetes: Experience with service meshes (e.g., Istio, Linkerd) and building custom CRDs and Operators to extend Kubernetes functionality. Multi-Cloud and Serverless Architecture: Direct experience designing and implementing systems that span multiple cloud providers or building custom serverless platforms. What’ll You Get Highly competitive and meaningful compensation package One of the best health care plans that covers not only you but also your family A great team Micro-entrepreneurial tasks and responsibilities. Career development and leadership opportunities

HR Manager mumbai metropolitan region 3 - 7 years None Not disclosed On-site Full Time

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. We are seeking an experienced and dynamic HR Manager to lead our human resources operations. The ideal candidate will be responsible for overseeing all HR functions, driving employee engagement initiatives, and ensuring the effective implementation of HR policies and practices. This role demands a strategic thinker with strong leadership skills and a comprehensive understanding of local labor laws. Key Responsibilities Identifying and hiring key team members and coordinate with hiring managers to streamline and speed up hiring process Develop and implement HR strategies and initiatives aligned with the overall business strategy. Manage the recruitment and selection process, ensuring a high-quality candidate experience. Oversee and administer compensation and benefits programs. Bridge management and employee relations by addressing demands, grievances, or other issues. Support current and future business needs through the development, engagement, motivation, and preservation of human capital. Develop and monitor overall HR strategies, systems, tactics, and procedures across the organization. Nurture a positive working environment and manage performance appraisal systems that drive high performance. Maintain and update employee records and HR databases. Organize and conduct training sessions on HR-related topics, such as performance management, team building, and leadership development. Qualifications And Experience Bachelor’s degree in Human Resources, Business Administration, or a related field. Minimum of 3-7 years of experience in Human Resources with at least 2 years in a managerial role. Good knowledge of labor law and HR best practices in India and reasonable awareness in EU laws. Experience in strategic planning and execution of HR initiatives. Excellent interpersonal, negotiation, and conflict resolution skills. Strong organizational and leadership abilities. Personal Attributes High level of integrity and confidentiality. Proactive, adaptable, and capable of working in a fast-paced environment. Excellent communication skills and a collaborative mindset. Ability to foster an inclusive and supportive workplace culture.

AI GTM Engineer mumbai metropolitan region 8 years None Not disclosed Remote Full Time

At AryaXAI , we’re building a cutting edge AI Engineering platform to build explainable and aligned AI solutions for enterprises. As our platform evolves, we’re looking for an AI Sales Manager who thrives at the intersection of Technology , sales, strategy, delivery, and growth . We’re looking for a multi-talented operator —someone who can build relationships, shape go-to-market strategies, coordinate product delivery with clients, and help scale a platform that’s transforming how enterprises adopt enterprise AI. AryaXAI provides exactly that: a comprehensive AI engineering platform for enterprises to develop, deploy, and scale advanced AI systems that are safe, aligned, and explainable. From inference boosting and cloudless compute , to AlignTune and our AI Trust Stack , AryaXAI equips organizations with everything they need to engineer AI responsibly and at scale. We are now looking for an ambitious and intelligent AI Sales Manager to lead solution sales and GTM strategy —taking this platform to the world’s most forward-thinking enterprises. The Role This is not a typical sales role. As an AI GTM Engineer at AryaXAI , you will be shaping how enterprises adopt AI engineering at scale . You will lead solution sales, define go-to-market strategies, and build trusted relationships with technical and business leaders across industries. You will act as the bridge between enterprise challenges and our engineering platform —crafting compelling value propositions and enabling customers to responsibly adopt next-generation AI systems. What You’ll Do Lead Enterprise Solution Sales Drive consultative sales across Fortune 500s, regulated industries, and AI-first companies. Position AryaXAI as the go-to AI engineering platform for enterprises building advanced AI. Own the full cycle: prospecting, discovery, technical demos, proof-of-concepts, negotiations, and closure. Shape GTM Strategy Define and execute playbooks to penetrate high-value markets. Collaborate with marketing and product teams to align campaigns, positioning, and customer education. Build scalable processes for repeatable revenue growth. Be the Trusted AI Engineering Advisor Understand customer AI infrastructure, model deployment, compliance, and scaling needs. Translate technical platform components—inference acceleration, compute infrastructure, AlignTune, trust stack—into business value. Represent AryaXAI at conferences, events, and industry communities. Build for Growth Create structured frameworks to scale solution sales. Help recruit and mentor future GTM and solution sales talent. Provide direct feedback to product and engineering to shape the platform roadmap. What We’re Looking For Sales & GTM Leadership Proven experience driving solution sales for enterprise SaaS, AI/ML, or platform businesses. Strong background in defining GTM strategies and consistently exceeding targets. Entrepreneurial mindset—comfortable in fast-moving, high-growth environments. AI/ML Engineering Familiarity Knowledge of enterprise AI/ML infrastructure (inference, compute, model training/tuning). Ability to articulate platform-level benefits (not just features) to business and technical stakeholders. Exposure to MLOps, AI safety, or data infrastructure is a strong plus. Enterprise Customer Engagement Exceptional communication and storytelling skills. Experience engaging C-level execs, technical buyers, and cross-functional stakeholders. Background working with regulated industries (finance, healthcare, government) preferred. Experience & Drive 5–8 years in enterprise solution sales, GTM, or business development. Track record of selling complex, technical products at platform scale. Strong intellectual curiosity and the ability to simplify technical concepts. Preferance for Bachelors in Tech specializations WhysJoin Us? Lead solution sales and GTM for a pioneering AI Engineering Platform. Define how enterprises engineer aligned, safe, explainable AI systems at scale. Work directly with visionary founders, researchers, and enterprise leaders. Competitive compensation, and benefits. Remote-first with flexibility for global collaboration. 👉 If you are ambitious, entrepreneurial, and ready to shape how enterprises adopt advanced AI systems, join AryaXAI to build the future of AI engineering.

Senior React Developer mumbai metropolitan region 0 years None Not disclosed On-site Full Time

We are seeking a skilled Senior React Developer to join our dynamic team. You'll be responsible for developing responsive web applications using our advanced technology stack, including TypeScript, Xstate, Zustand, Tanstack Table, Tanstack Query, G2Plot, React Router, Tailwind CSS, Zod, and useForm. Responsibilities Develop and Maintain Applications: Build reusable components and front-end libraries for future use. Design, develop, and maintain responsive web applications using React and TypeScript. Implement state management solutions with Xstate and Zustand. Utilize Tanstack Table and Tanstack Query (React Query) for data fetching and management. Data Visualization And Form Management Create interactive charts using G2Plot. Develop user-friendly navigation with React Router. Leverage useForm for efficient form handling and validation. Styling And Code Quality Apply Tailwind CSS for responsive design and styling. Ensure code quality through testing and adherence to best practices. Collaborate with cross-functional teams to define, design, and ship new features. Optimization And Troubleshooting Troubleshoot and optimize applications for maximum performance and scalability. Optimize components for maximum performance across a vast array of web-capable devices and browsers Work with Linux environments and manage browser-based cache. Qualifications Proficiency in React and TypeScript. Experience with Xstate and Zustand for state management. Familiarity with Tanstack Table and Tanstack Query (React Query). Knowledge of G2Plot for data visualization. Strong understanding of React Router for navigation. Experience with useForm for form handling and validation. Proficient in Tailwind CSS for styling. Familiarity with Zod for schema validation. Ability to write clean, maintainable, and efficient code. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with testing frameworks like Jest or React Testing Library. Knowledge of Agile methodologies and related tools. Previous experience in a fast-paced development environment. Experience in building and maintaining APIs Experience with version control systems like Git What You’ll Get Highly competitive and meaningful compensation package One of the best health care plans that covers not only you but also your family A great team Micro-entrepreneurial tasks and responsibilities. Career development and leadership opportunities

AI Research Scientist mumbai metropolitan region 2 years None Not disclosed On-site Full Time

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. As a research scientist at AryaXAI, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability. Responsibilities You'll work on advanced problems related to AI explainability, AI safety, and AI alignment. You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges. Create new techniques around ML Observability & Alignment. Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable. Create and maintain technical and product documentation. Publish papers in open forums like arxiv and present in industry forums like ICLR NeurIPS etc. Qualifications Has a solid academic background in concepts of machine learning or deep learning or reinforcement learning. Master or Ph.D in key engineering topics like computer science or Mathematics is required Should have published peer-reviewed papers or contributed to opensource tools Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc Enjoys working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images etc Comfortable deploying code in cloud environments/on-premise environments. Good fundamentals in MLOps and productionising ML models. Prior experience on working on ML explainability methods - LRP, SHAPE, LIME, IG, CEM etc. 2+ years of hands-on experience in Deep Learning or Machine Learning. Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc.

AI Engineer mumbai metropolitan region 2 years None Not disclosed On-site Full Time

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. As an AI Engineer at AryaXAI, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You'll be working directly with enterprise use cases that matters. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability. Responsibilities Evaluate and fine-tune appropriate AI/ML models on AryaXAI.com, based on specific business use cases, considering accuracy, computational requirements, and scalability. Assess various model architectures to determine the most suitable solutions for different business problems Implement and deploy AI models in production environments using AryaXAI.com, ensuring seamless integration with existing systems You'll work on advanced AI architectures using state-of-the-art AI explainability, AI safety, and AI alignment techniques You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges. Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable. Create and maintain technical and product documentation. Qualifications Has a solid academic background in concepts of machine learning, deep learning, or reinforcement learning. Published peer-reviewed papers or contributions to open-source tools are a plus. Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc Enjoys working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images etc Comfortable deploying code in cloud environments/on-premise environments. 2+ years of hands-on experience in Deep Learning or Machine Learning Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc.

AI Agent Engineer mumbai metropolitan region 2 years None Not disclosed On-site Full Time

AryaXAI is looking for a passionate and capable engineer to lead the development of our Enterprise AI Agent and AI Data Science Agent workstreams. Our mission is to build agentic systems that bring explainability, safety, and scalability to the forefront of enterprise AI. As an AI Agent Engineer at AryaXAI, you'll play a key role in shaping intelligent agents that assist in enterprise decision-making, automate complex data science workflows, and integrate seamlessly into business ecosystems. These agents will serve as collaborators for enterprise teams—leveraging reasoning, tool use, and memory—while staying aligned with our focus on transparent and trustworthy AI. We're seeking a strong engineering generalist with deep experience in LLMs, agent frameworks, and production-scale systems. You’ve likely prototyped or shipped agent-based systems, pushed the boundaries of what LLMs can do, and are looking for a meaningful opportunity to build the future of responsible AI. Responsibilities Lead the design and development of Enterprise AI Agents and Data Science Agent systems that combine reasoning, tool orchestration, and memory. Collaborate with product, research, and infrastructure teams to create scalable agent architectures tailored for enterprise users. Build agent capabilities for tasks like automated analysis, reporting, data wrangling, and domain-specific workflows across business verticals. Integrate real-time knowledge, enterprise APIs, RAG pipelines, and proprietary tools into agentic workflows. Work closely with the alignment and explainability teams to ensure agents remain safe, auditable, and transparent in their reasoning and output. Continuously evaluate and incorporate advances in GenAI (e.g., controllability, multi-modal models, memory layers) into the agent stack. Help shape the engineering culture at AryaXAI through mentorship, reviews, and innovation. Requirements Demonstrated experience building with LLMs and Agentic frameworks (e.g., LangChain, LangFlow, Semantic Kernel, Haystack, ReAct, AutoGPT, etc.). Experience with productionizing AI/LLM workflows and integrating them into real-world applications or systems. 2+ years of software engineering experience, ideally with some time in early-stage startups or AI-first environments. Strong Python skills and solid understanding of full-stack backend architecture (APIs, cloud infra, databases). A passion for building ethical, explainable, and high-impact AI products that solve real enterprise problems. (Bonus) Experience working on agent toolchains for data science, ML ops, or enterprise analytics.

Sr Data Scientist mumbai metropolitan region 2 years None Not disclosed On-site Full Time

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical, highly regulated industries by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations—including banks, financial institutions, and large enterprises—to unlock AI's full potential while maintaining transparency, safety, and regulatory compliance. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, every team member contributes hands-on in a flat organizational structure that values curiosity, initiative, and exceptional performance, ensuring that our work not only advances technology but also meets the rigorous demands of regulated sectors. Role Overview As a Senior Data Scientist at AryaXAI, you will be uniquely positioned to tackle large-scale, enterprise-level challenges in regulated environments. You’ll lead complex AI implementations that prioritize explainability, risk management, and compliance, directly impacting mission-critical use cases in the financial services industry and beyond. Your expertise will be crucial in deploying sophisticated models that address the nuances and stringent requirements of regulated sectors. Responsibilities Model Evaluation & Customization: Evaluate, fine-tune, and implement appropriate AI/ML models on AryaXAI.com tailored for enterprise and regulated use cases. Consider factors such as accuracy, computational efficiency, scalability, and regulatory constraints. Architectural Assessment: Assess and recommend various model architectures, ensuring that selected solutions meet the high standards required by complex business problems in financial services and other regulated industries. Enterprise Integration: Lead the deployment of AI models into production environments, ensuring seamless integration with existing enterprise systems while upholding strict compliance and security standards. Advanced AI Techniques: Drive the development and implementation of state-of-the-art AI architectures, incorporating advanced explainability, AI safety, and alignment techniques suited for regulated applications. Specialization & Innovation: Take ownership of specialized areas within machine learning/deep learning to address specific challenges related to complex datasets, regulatory requirements, and enterprise-grade AI solutions. Collaboration & Quality Assurance: Collaborate closely with Machine Learning Engineers (MLEs) and Software Development Engineers (SDEs) to roll out features, manage quality assurance, and ensure that all deployed models meet both performance and compliance benchmarks. Documentation & Compliance: Create and maintain detailed technical and product documentation, with an emphasis on auditability and adherence to regulatory standards. Qualifications Educational & Professional Background: A solid academic background in machine learning, deep learning, or reinforcement learning, ideally complemented by experience in regulated industries such as financial services or enterprise sectors. Regulated Industry Experience (FS, Banking or Insurance is preferred) Proven track record (2+ years) of hands-on experience in data science within highly regulated environments, with a deep understanding of the unique challenges and compliance requirements in these settings. Technical Expertise: Demonstrated proficiency with deep learning frameworks (TensorFlow, PyTorch, etc.) and experience in implementing advanced techniques (Transformer models, GANs, etc.). Diverse Data Handling: Experience working with varied data types—including textual, tabular, categorical, and image data—and the ability to develop models that handle complex, enterprise-level datasets. Deployment Proficiency: Expertise in deploying AI solutions in both cloud and on-premise environments, ensuring robust, scalable, and secure integrations with enterprise systems. Publications & Contributions: Peer-reviewed publications or significant contributions to open-source tools in AI are highly regarded.

Software Engineer Developer mumbai metropolitan region 0 years None Not disclosed On-site Full Time

Are you a Python expert who has built scalable software solutions? Do you know how to handle heavy volumes of data and process the responses as APIs? Have you worked in scaling AI models or across MLE process? AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. We are looking for Sr Software Engineers who - Expert in Python and have built scalable systems. Has experience with Puppet/Chef/Ansible, Amazon Web Services (AWS), Git, Graphite and related tools for large-scale systems management is a must. Should be able to write python, bash, c/c++ and perl scripts. Good understanding of architecture and tradeoffs in distributed computing environments. Experience working with linux system monitoring and analysis. Should be hands on Cloud like aws ec, elb, s3 bucket, auto scale etc. Better understanding of nginx/Apache web server as reverse proxy , load balancer, caching. H/w, S/w load balancer. Experience with web infrastructure, distributed systems, or component-oriented software engineering What You'll Be Doing Design and implementation of the network that supports for easy deployments of the servers Building exciting new features that will enable developers to build highly available, robust AI services Maintaining and ensuring a high standard for reliability and availability across multiple datacenters Evolving our existing architecture and codebases to support building flexible networking capabilities both internally and for the product Desired Skills Very good knowledge in nosql - mongodb sharding, clustering , replication , security. Knowledge of the different kinds of databases – relational, document, key/value, graph Demonstrated open-source contribution Hand on experience in working in one or major MLE processes like data prep, model serving, compute optimizatons etc. Knowledge of TCP/IP and network programming or developing/designing large software systems What’ll You Get Highly competitive and meaningful compensation package One of the best health care plans that covers not only you but also your family A great team Micro-entrepreneurial tasks and responsibilities. Career development and leadership opportunities

HR Manager mumbai metropolitan region 3 - 7 years None Not disclosed On-site Full Time

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. We are seeking an experienced and dynamic HR Manager to lead our human resources operations. The ideal candidate will be responsible for overseeing all HR functions, driving employee engagement initiatives, and ensuring the effective implementation of HR policies and practices. This role demands a strategic thinker with strong leadership skills and a comprehensive understanding of local labor laws. Key Responsibilities Identifying and hiring key team members and coordinate with hiring managers to streamline and speed up hiring process Develop and implement HR strategies and initiatives aligned with the overall business strategy. Manage the recruitment and selection process, ensuring a high-quality candidate experience. Oversee and administer compensation and benefits programs. Bridge management and employee relations by addressing demands, grievances, or other issues. Support current and future business needs through the development, engagement, motivation, and preservation of human capital. Develop and monitor overall HR strategies, systems, tactics, and procedures across the organization. Nurture a positive working environment and manage performance appraisal systems that drive high performance. Maintain and update employee records and HR databases. Organize and conduct training sessions on HR-related topics, such as performance management, team building, and leadership development. Qualifications And Experience Bachelor’s degree in Human Resources, Business Administration, or a related field. Minimum of 3-7 years of experience in Human Resources with at least 2 years in a managerial role. Good knowledge of labor law and HR best practices in India and reasonable awareness in EU laws. Experience in strategic planning and execution of HR initiatives. Excellent interpersonal, negotiation, and conflict resolution skills. Strong organizational and leadership abilities. Personal Attributes High level of integrity and confidentiality. Proactive, adaptable, and capable of working in a fast-paced environment. Excellent communication skills and a collaborative mindset. Ability to foster an inclusive and supportive workplace culture.

AI Internship mumbai metropolitan region 0 years None Not disclosed On-site Full Time

AI Research Intern – Lexsi Labs Commitment: Full-time internship (6 months; potential extension or full-time offer) Start Date: Rolling About Lexsi Labs Lexsi Labs is one of the leading frontier labs focusing on building aligned, interpretable and safe Superintelligence. Most of the work involves on creating new methodologies for efficient alignment, interpretability lead-strategies and tabular foundational model research. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At Lexsi.ai, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. As a research intern at Lexsi.ai, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability. What You’ll Do Collaborate closely with our research and engineering teams on one of the areas: Library Development: Architect and enhance open-source Python tooling for alignment, explainability, uncertainty quantification, robustness, and machine unlearning. Model Benchmarking: Conduct rigorous evaluations of LLMs and deep networks under domain shifts, adversarial conditions, and regulatory constraints. Explainability & Trust: Design and implement XAI techniques (LRP, SHAP, Grad-CAM, Backtrace) across text, image, and tabular modalities. Mechanistic Interpretability: Probe internal model representations and circuits—using activation patching, feature visualization, and related methods—to diagnose failure modes and emergent behaviors. Uncertainty & Risk: Develop, implement, and benchmark uncertainty estimation methods (Bayesian approaches, ensembles, test-time augmentation) alongside robustness metrics for foundation models. Research Contributions: Author and maintain experiment code, run systematic studies, and co-author whitepapers or conference submissions. General Required Qualifications Strong Python expertise: writing clean, modular, and testable code. Theoretical foundations: deep understanding of machine learning and deep learning principles with hands-on experience with PyTorch. Transformer architectures & fundamentals: comprehensive knowledge of attention mechanisms, positional encodings, tokenization and training objectives in BERT, GPT, LLaMA, T5, MOE, Mamba, etc. Version control & CI/CD: Git workflows, packaging, documentation, and collaborative development practices. Collaborative mindset: excellent communication, peer code reviews, and agile teamwork. Preferred Domain Expertise (Any one of these is good) : Explainability: applied experience with XAI methods such as SHAP, LIME, IG, LRP, DL-Bactrace or Grad-CAM. Mechanistic interpretability: familiarity with circuit analysis, activation patching, and feature visualization for neural network introspection. Uncertainty estimation: hands-on with Bayesian techniques, ensembles, or test-time augmentation. Quantization & pruning: applying model compression to optimize size, latency, and memory footprint. LLM Alignment techniques: crafting and evaluating few-shot, zero-shot, and chain-of-thought prompts; experience with RLHF workflows, reward modeling, and human-in-the-loop fine-tuning. Post-training adaptation & fine-tuning: practical work with full-model fine-tuning and parameter-efficient methods (LoRA, adapters), instruction tuning, knowledge distillation, and domain-specialization. Additional Experience (Nice-to-Have) Publications: contributions to CVPR, ICLR, ICML, KDD, WWW, WACV, NeurIPS, ACL, NAACL, EMNLP, IJCAI or equivalent research experience. Open-source contributions: prior work on AI/ML libraries or tooling. Domain exposure: risk-sensitive applications in finance, healthcare, or similar fields. Performance optimization: familiarity with large-scale training infrastructures. What We Offer Real-world impact: address high-stakes AI challenges in regulated industries. Compute resources: access to GPUs, cloud credits, and proprietary models. Competitive stipend: with potential for full-time conversion. Authorship opportunities: co-authorship on papers, technical reports, and conference submissions.