819 Llms Jobs - Page 8

Our AI Research & Consulting Lab in Bangalore is seeking a PhD-qualified Consultant to take on the responsibility of leading enterprise advisory on agentic AI-driven workflow transformation. This position is tailored for a visionary individual whose doctoral research delved into exploring how Generative AI agents, equipped with capabilities such as perception, planning, memory, and autonomy, can revolutionize the work structure. As a Consultant, you will be tasked with guiding clients on integrating agentic AI models into their business workflows, with a focus on: - Identifying roles that can be enhanced or substituted by intelligent agents. - Determining functions where agentic systems can independently make decisions across various domains like operations, service, or support. - Developing pathways for redeployment and upskilling initiatives for employees affected by AI implementation, while aligning with sustainable workforce strategies. Key Responsibilities: Client Engagement & Analysis: - Evaluate current workflows, organizational charts, and decision-making processes to pinpoint areas where agentic AI can enhance, replace, or optimize roles. - Provide diagnostic frameworks to align tasks with agent capabilities, such as perception (NLP/vision), planning (ReAct, AutoGPT), tool use (LangChain agents), and memory. - Demonstrate technical expertise in architecting and implementing Agentic AI workflows, encompassing Business Architecture and Agentic AI Technical Architecture. Transformation Design: - Devise strategies that incorporate autonomous AI agents into various business functions like customer support, HR, finance ops, and sales intelligence. - Suggest organizational redesigns that mirror the future workforce comprising a blend of agents and humans. Human Capital Strategy: - Offer guidance to HR and L&D leaders on restructuring redundant roles through skill gap analysis and AI-driven upskilling paths. - Define AI-readiness profiles and role evolution matrices for different enterprise job families. Thought Leadership & Enablement: - Publish insights and contribute to the firm's perspective on agentic systems within enterprise transformation. Required Qualifications: - Hold a PhD in Artificial Intelligence / Organizational AI / Multi-Agent Systems, with a focus on Agentic AI systems, generative AI applications, and workforce redesign. - Graduated from a prestigious institution like IISc Bangalore, IITs, or ISB. - Possess a strong foundation in LLMs, autonomous agents, agent frameworks, and enterprise AI applications, along with exceptional analytical, stakeholder management, and executive communication skills. Preferred Skills: - Previous consulting experience in enterprise AI or transformation, whether through internships or full-time roles. - Hands-on experience in designing or deploying AI agents in practical scenarios. - Familiarity with enterprise platforms like Salesforce, Snowflake, and their potential for AI integration.,

You have a Full-time, On-site Job opportunity available in Thiruvananthapuram, Kerala that requires a minimum of 6 years of experience in Python development with a specialization in AI-driven applications. Your role will involve utilizing your strong expertise in FastAPI for high-performance backend development. Additionally, you should have experience working with LLMs (GPT, Llama, Claude, etc.) and AI model deployment. Hands-on experience with LangChain for AI-driven workflows is essential, as well as familiarity with vector databases such as FAISS, Pine cone, Weaviate, ChromaDB, etc. Knowledge of RESTful APIs, GraphQL, and authentication mechanisms is required for this position. You should also be familiar with Hugging Face, OpenAI APIs, and fine-tuning LLMs. Experience in asynchronous programming, multiprocessing, and performance tuning will be beneficial. Strong problem-solving skills, debugging expertise, and experience in Agile/Scrum methodologies are also valuable assets. Your key responsibilities will include developing and integrating LLMs into the WayVida platform using LangChain, designing, developing, and optimizing scalable FastAPI services for AI-driven applications, as well as building and maintaining high-performance APIs to support AI-based functionalities. You will work with large-scale datasets for training and fine-tuning LLMs, and be responsible for improving system efficiency, response times, and model inference speeds. Collaboration with AI & Product Teams to deploy AI solutions effectively, implementing best practices for secure API design, data privacy, and compliance, and ensuring high-quality, maintainable, and well-documented code following CI/CD best practices are also part of your role. Preferred qualifications for this position include experience in AI-driven EdTech platforms, knowledge of retrieval-augmented generation (RAG) and prompt engineering, familiarity with Docker, Kubernetes, and cloud deployment (Azure, AWS, GCP), as well as exposure to MLOps, model versioning, and continuous AI deployments.,

As an AI-first product studio dedicated to assisting startups in delivering cloud-native features efficiently, Eagerminds is seeking a Full-Stack Engineer who is passionate about developing fast, clean, and scalable web applications. If you are enthusiastic about working at the convergence of code, cloud, and AI, we are excited to connect with you. Your Responsibilities: - Designing, developing, and maintaining APIs and backend systems utilizing Node.js - Creating relational data models and optimizing queries in PostgreSQL - Collaborating closely with frontend and DevOps teams to deliver comprehensive features - Adhering to best practices in code quality, performance, and security - Implementing new AI functionalities into real-world web applications - Debugging in production environments and enhancing application performance continuously Your Qualifications: - 3-4 years of full-stack experience with a strong focus on backend development - Proficiency in Node.js, Express/Nest frameworks, and PostgreSQL - Hands-on experience with REST/GraphQL APIs and CI/CD workflows - Familiarity with Git, testing methodologies, and basic frontend knowledge (React/Next is a plus) - Demonstrated traits of curiosity, quick learning, and effective communication skills in English/Hindi/Gujarati Preferred Qualifications: - Familiarity with AWS services such as Lambda, RDS, ECS, and IAM - Knowledge of TypeScript, Prisma, or any ORM experience - Exposure to LLMs, vector DBs, or OpenAI tools - Experience in building and deploying production applications from scratch Why Eagerminds: - Direct impact: Your code will be in the hands of users within the same week - Collaborative team: Join a close-knit team working on cutting-edge AI and AWS products without bureaucratic hurdles - Competitive compensation: Enjoy a competitive salary along with performance bonuses - Perks: Benefit from a MacBook, 27" monitor, flexible on-site hours, Friday demos, and a learning stipend To Apply: Please email your resume, GitHub/projects, and expected CTC to admin@eagerminds.io with the subject line: Full-Stack Engineer [Your Name].,

The role at Spano AI is a unique opportunity for an experienced AI Engineer to play a pivotal role in building and shaping an innovative health tech platform. Spano AI is dedicated to extending the health span of individuals by leveraging Agentic AI to empower over 100 million Indians in preventing and managing chronic conditions such as diabetes, PCOS, hypertension, and obesity. As the Founding AI Engineer at Spano AI, you will not just be joining a team but spearheading its creation. The role holds significant importance as you will be tasked with designing and owning the AI architecture, translating health goals into actionable ML/LLM systems, and instilling a culture of reliability and impact within the company. Your responsibilities will include developing an agentic AI orchestration engine, LLM-powered systems for meal analysis and personalized coaching, as well as implementing real-time retrieval-augmented generation and embedding-based personalization. To excel in this role, you are expected to bring 3-6 years of experience in AI/ML production, particularly in LLMs, NLP, transformers, and embeddings. Proficiency in Python, LangChain, OpenAI APIs, Pinecone/Weaviate, and a strong builder mindset are essential. A startup DNA characterized by speed, clarity, and focus is highly valued, along with bonus points for experience in agentic frameworks and consumer tech. This is a pivotal moment to join Spano AI, as the company has validated its approach and is now focused on scaling its impact. By becoming a part of the team, you will have the opportunity to take ownership through direct equity, contribute to the roadmap, and engage with early market users. The chance to make a meaningful impact on the lives of millions of chronic patients in India, while being part of a high-trust, health-first culture, makes this role both challenging and rewarding.,

As an Engineering Manager specializing in Data & Insights at a funded Fintech company in Bangalore, India, you will play a pivotal role in reimagining financial products for the next billion users. You will be tasked with addressing the challenge of enabling access to financial services for the population that is currently underserved by traditional channels like insurance, credit, and investments. In this role, you will lead a high-performance team focused on building data-driven products that accelerate time-to-market and foster innovation in credit services. You will be responsible for driving end-to-end product delivery, making critical technical decisions, and nurturing your team of engineers. Your key responsibilities will include owning the delivery of data-centric products, from initial planning to deployment, ensuring high quality and alignment with stakeholders. You will lead technical innovation, particularly in developing scalable backend systems such as APIs, databases, and queues, as well as data platforms like Airflow, Redshift, and Spark. Embracing open-source technologies to create robust and cost-effective solutions will be a key aspect of your role. You will also explore and integrate cutting-edge AI tools and LLMs to push technological boundaries further. As an ideal candidate for this role, you should have 8-10 years of software engineering experience, with at least 6 years dedicated to building backend systems. You should have successfully transitioned into data platform roles, demonstrating proficiency in tools like Airflow, Redshift, and Spark. Your enthusiasm for open-source technologies and familiarity with Apache Spark, Airflow, and similar tools will be highly valued. Knowledge or experience with LLMs and AI, including tools like LangChain, HuggingFace, or vLLM/TensorRT, will be advantageous. Additionally, having at least 1 year of experience in team management, mentoring, and leading projects using Agile principles is desirable. Previous experience in Fintech and a passion for promoting financial inclusion will be considered a significant plus. In return, you will have the opportunity to work alongside founders who have contributed to building foundational technologies like UPI, GST, and Aadhaar. You will have access to unlimited learning resources such as books, conferences, and courses. The company offers top-tier benefits including health insurance, mental health support, and a modern office environment in Bangalore. Joining a diverse and merit-driven team that values craftsmanship in code will be a rewarding aspect of this role.,

Design and build smart automation workflows using n8n, Zapier, and Make.com. Integrate APIs and connect third-party apps to streamline business processes. Utilize LLMs (e.g., OpenAI, Cohere) for tasks like summarization, data extraction, and decision logic. Create RAG pipelines utilizing vector databases such as Pinecone, ChromaDB, or Weaviate. Develop and test autonomous agents using LangChain, AutoGen, or similar frameworks. Write clean, modular code in Python or JavaScript to support custom workflow logic. Prototype ideas quickly and deploy real features used in production environments. Document workflows thoroughly and collaborate with developers, consultants, and product teams. Key Skills: Final-year students in Computer Science, AI/ML, Data Science, Information Systems, or related fields, who are willing to work full time after the internship. Curiosity & Initiative are essential you enjoy experimenting with new tools/technologies and are unafraid to break things to learn. Possess Basic to Intermediate Coding Skills and are comfortable with writing Python or JavaScript/TypeScript. Able to read API docs and write modular code. Familiarity (or willingness to learn) with Workflow Platforms such as n8n, Zapier, Make.com, or similar; if you haven't used n8n yet, assistance will be provided for onboarding. Knowledge of APIs, including understanding of RESTful APIs, JSON, and authentication mechanisms. Interest in AI/LLMs familiarity with LLMs basics or eagerness to dive into prompt engineering, embeddings, and RAG concepts. Problem-Solving Mindset ability to break down complex tasks into smaller steps, map flows, and anticipate edge cases. Strong Communication & Documentation skills capable of explaining workflows, documenting steps, and writing clean README/instructions. A Team Player open to feedback, collaboration in agile/scrum-like setups, and assisting peers in troubleshooting.,

Intellectt Inc. is seeking AI Product Engineers to join our team and contribute to our expanding AI-focused product portfolio. As an AI Product Engineer, you will play a crucial role in bridging the gap between product development and advanced AI technologies. This position requires a deep understanding of AI models, APIs, and data pipelines, along with a strong focus on product design, user experience, and deployment strategies. Key Responsibilities - Collaborate with product managers and AI teams to design and develop AI-driven products leveraging LLMs such as GPT-3.5, GPT-4, and Gemini. - Translate business requirements into AI product features and develop functional prototypes. - Implement LangChain-based workflows, including LangSmith and LangGraph, to enable intelligent app interactions. - Integrate Retrieval-Augmented Generation (RAG) pipelines and vector databases like ChromaDB to enhance AI performance. - Customize model outputs based on product needs and use cases through prompt engineering. - Develop REST APIs and microservices using Flask or FastAPI to facilitate model integration. - Manage and process structured and unstructured data using SQL, PySpark, and Spark SQL. - Collaborate with UI/UX teams to ensure seamless user interaction with AI components. - Support product deployment and monitoring on Azure ML or AWS Bedrock. Required Skills - Proficiency in Python, SQL, PySpark, and Spark SQL for programming and data processing. - Understanding of Generative AI, LLMs, and prompt engineering. - Experience with LangChain, LangGraph, and LangSmith for workflow development. - Familiarity with vector databases and embedding techniques for AI applications. - Exposure to cloud platforms such as Azure ML or AWS Bedrock. - Development of REST APIs using Flask or FastAPI. - Strong problem-solving skills and a product-oriented mindset. Preferred Qualifications - Bachelor's degree in Computer Science, AI/ML, Data Science, or related field. - Internship or academic experience in AI product development or applied NLP. - Knowledge of MLOps concepts and product lifecycle best practices. - Basic understanding of UI/UX principles and user-centric design. Join our team at Intellectt Inc. and be part of our mission to drive innovation through Artificial Intelligence and Digital Transformation services. Your expertise as an AI Product Engineer will contribute to building impactful, intelligent solutions that shape the future of technology.,

As a Data Scientist specializing in Generative AI LLMs, you will be part of our dynamic team, bringing your expertise in AI, machine learning, and deep learning to solve complex business challenges. With a focus on generative models, you will leverage your 2+ years of experience in the field to contribute to innovative solutions. Your responsibilities will include working with generative models such as GANS, VAEs, and transformer-based models like GPT-3/4, BERT, DALL.E. You will apply your understanding of model fine-tuning, transfer learning, and prompt engineering within the context of large language models (LLMs). Additionally, your knowledge of reinforcement learning and advanced machine learning techniques will be essential for tackling generative tasks effectively. Proficiency in Python programming and familiarity with relevant libraries and frameworks will enable you to implement your solutions effectively. Your proven experience in document detail extraction, feature engineering, data processing, and manipulation techniques will be key in developing innovative data applications using tools like Streamlit. Moreover, your advanced expertise in prompt engineering, chain of thought processes, and AI agents will set you apart in this role. Your strong problem-solving skills and ability to collaborate effectively in a team environment will be crucial for success. Furthermore, your excellent communication skills will allow you to convey complex technical concepts to non-technical stakeholders with clarity. If you are passionate about AI, machine learning, and deep learning, and eager to contribute to cutting-edge projects, we invite you to join us as a Data Scientist specializing in Generative AI LLMs.,

You will be joining a renowned consulting firm that has consistently been recognized as one of the best places to work globally. As part of the Application Engineering team within the AI, Insights & Solutions group, you will collaborate with a diverse group of experts in analytics, engineering, product management, and design to address clients" most challenging problems. Your role will involve designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to deliver secure and scalable solutions. Working in a multidisciplinary environment, you will collaborate with cross-functional teams to define and implement analytics features that meet business requirements and user needs. Utilizing Kubernetes and containerization technologies, you will deploy and manage analytics applications in cloud environments to ensure optimal performance and availability. Your responsibilities will also include developing APIs and microservices, implementing security measures to protect sensitive data, and monitoring application performance to resolve issues promptly. As a Senior or Staff level professional with a Masters degree in Computer Science or related field, you are expected to have a minimum of 5 years of experience in application engineering. Proficiency in client-side and server-side technologies, cloud platforms, and programming languages such as Python is essential. Additionally, experience with DevOps, CI/CD practices, and version control tools like Git is required. Your role will involve staying updated on emerging technologies, collaborating with DevOps teams to automate deployment processes, and contributing to the development of high-quality, maintainable code. You will play a pivotal role in collaborating with business consulting teams to assess opportunities and develop analytics solutions for clients across various sectors. Strong interpersonal skills, curiosity, critical thinking, and a proactive mindset are key attributes for success in this role. Travel may be required up to 30% of the time, and a deep understanding of data architecture, database design, and agile development methodologies will be advantageous in meeting the job requirements.,

NTT DATA is looking for an AI Data Scientist - Digital Engineering Sr. Engineer to join their team in Hyderabad, Telangana (IN-TG), India. As an AI Data Scientist, you will be focusing on Generative AI & LLMs. Your responsibilities will include designing and developing AI/ML models with a specific focus on LLMs such as GPT, LLaMA, Mistral, Falcon, and Claude. You will be applying prompt engineering, fine-tuning, and transfer learning techniques to tailor models for enterprise use cases. Additionally, you will work with vector databases and retrieval-augmented generation (RAG) pipelines for contextual response generation. Collaboration is key in this role, as you will be working closely with data engineers, AI Engineers, and MLOps teams to deploy models in production environments. If you are an exceptional, innovative, and passionate individual looking to be part of an inclusive, adaptable, and forward-thinking organization, apply now to join NTT DATA. NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. With a presence in more than 50 countries, NTT DATA serves 75% of the Fortune Global 100 and has a diverse team of experts. The company offers services ranging from business and technology consulting to data and artificial intelligence solutions, industry-specific offerings, and the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure globally and is part of the NTT Group, which invests significantly in R&D to support organizations and society in confidently transitioning into the digital future. For more information, visit us at us.nttdata.com.,

You will be joining a well-funded Generative AI startup that is dedicated to creating outstanding, user-centric conversational experiences for a global audience. The primary goal is to enhance the accessibility, impact, and engagement of AI interactions by merging advanced Generative AI with intuitive, human-centered design principles. The leadership team consists of industry experts with extensive knowledge in AI, personalization, and NLP, gained from their tenure at leading global technology companies. Your main responsibilities will include: - Conducting research on various topics such as research papers, case studies, and industry benchmarks to extract valuable insights for enhancing AI performance and staying up-to-date with the latest advancements. - Defining, executing, and iterating on experiments across different AI models to enhance accuracy, engagement, and response quality. - Analyzing model performance through A/B tests, comparing key metrics, and refining the AI pipeline. - Developing feedback loops to measure user satisfaction and model effectiveness. - Collaborating closely with engineers, data scientists, and product teams to drive AI advancements and feature enhancements. - Utilizing analytics to identify trends, evaluate model success, and implement strategic improvements. - Testing new AI capabilities and ideas quickly to optimize performance and scalability. The ideal candidate for this role will possess: - 1-3 years of experience in AI-focused product roles, preferably from renowned institutions such as IIT, NIT, BITS, etc. - Proficiency in LLMs, fine-tuning, prompt engineering, and AI evaluation techniques. - Experience in designing experiments for testing and iterating on model performance. - Ability to interpret AI/ML metrics and convert them into actionable insights. - Strong problem-solving and analytical skills. - Hands-on experience with LLM APIs (OpenAI, Hugging Face, etc.), A/B testing, and user analytics tools. - Capability to thrive in a fast-paced, uncertain environment while maintaining clarity and driving execution. Additionally, it would be advantageous if you have experience in AI-powered conversations or a background in astrology or related fields. This is a full-time position that requires in-person work at the designated location.,

As a candidate for the position, your main responsibility will involve designing and implementing intelligent Agentic AI systems using LLMs, vector databases, and orchestration frameworks. You will also be tasked with building, deploying, and maintaining ML workflows utilizing AWS SageMaker, Lambda, and EC2 with Docker. Another key aspect of the role will be developing and managing ETL pipelines through AWS Glue and integrating them with structured/unstructured data sources. Additionally, you will be expected to implement APIs and full-stack components to support ML agents, including visualization tools using Streamlit, as well as reverse-engineer existing codebases and APIs to integrate AI features into legacy or proprietary systems. To excel in this role, you must have hands-on experience with AWS services like Lambda, EC2, Glue, and SageMaker. Strong proficiency in Python and full-stack development is essential, along with a solid grasp of LLMs and vector search engines. Demonstrated ability to reverse-engineer systems and build integrations is also required, as well as experience with cloud infrastructure, RESTful APIs, CI/CD pipelines, and containerization. Preferred qualifications for this position include a background in Retrieval-Augmented Generation (RAG), multi-agent systems, or knowledge graphs, experience with open-source LLM frameworks like Hugging Face, knowledge of autonomous task planning, symbolic reasoning, or reinforcement learning, and exposure to secure, regulated, or enterprise-scale AI systems. Overall, this role demands a strong blend of technical skills encompassing AWS, Python, and full-stack development, in addition to expertise with LLMs, vector search, and agentic AI systems.,

As a visionary Chief Technology Officer (CTO) & Co-founder, you will play a pivotal role in spearheading the tech and AI development of our HealthTech AI startup. Our primary focus is addressing obesity, preventive care, and personalized health through innovative AI-driven solutions. Your responsibilities will include defining the tech and AI strategy from the Minimum Viable Product (MVP) stage to scaling up. You will be responsible for driving the development of AI models encompassing predictive analytics, computer vision, and Natural Language Processing (NLP) for health diagnostics and recommendations. Additionally, you will lead the full-stack development along with Machine Learning/Artificial Intelligence (ML/AI) development. Building and overseeing a proficient engineering and ML team will also be a crucial part of your role. Collaboration with doctors, researchers, and fellow co-founders will be essential for the success of our venture. Key qualifications for this role include a minimum of 3 years of experience in software and AI/ML development. Proficiency in Python, TensorFlow/PyTorch, NLP, data modeling, Large Language Models (LLMs), and cloud platforms (AWS/GCP) is essential. Prior experience in healthtech, medical data, or digital health products is highly valued. A solid understanding of HIPAA/data security and healthcare compliance is required. A deep passion for creating scalable AI products with tangible real-world impact is a must-have trait. In addition to a competitive salary, you will have the opportunity to earn co-founder equity in the company. You will enjoy the freedom to shape the core technology of our startup and work at the forefront of AI and public health. If you are enthusiastic about leveraging transformative technology to revolutionize healthcare, we invite you to connect with us by sending a message or email to slimzyhealthcare@gmail.com. Join us on this exciting journey of building groundbreaking AI solutions for the healthcare industry.,

Senior AI Engineer ???? Mumbai | Hybrid About Quantanite Were a global CX and digital solutions partner that blends cutting-edge AI with the human touch. Headquartered in London and operating across 4 continents, our 2,000+ people help some of the worlds fastest-growing brands scale smarter, work faster, and deliver better serviceevery time. Were not your typical outsourcing company. At Quantanite, great service is built on two things: smart tech and smarter people. From proprietary AI platforms like MBIUS to our collaborative, people-first culture, we equip our teams with the freedom and tools to build game-changing solutions. If youre looking for a place where your AI engineering skills can shape real enterprise impact (not just POCs), youll feel at home here. The Role As a Senior AI Engineer , youll own the full lifecycle of AI solutionsfrom design to production. Youll be hands-on with multi-agent workflows, advanced knowledge retrieval, and LLM optimization to solve enterprise-scale problems. Expect to lead projects such as AI Copilots, Enterprise Search Systems, Summarization Engines, and Intelligent Automation Tools building robust, scalable solutions that move beyond prototypes into production. Youll also play a key role in mentoring junior engineers, setting engineering standards, and collaborating cross-functionally to ensure delivery at scale. What Youll Do Build and deploy agentic systems and multi-agent workflows using LangChain, LlamaIndex, OpenAI SDK (and beyond). Design RAG pipelines with vector DBs like FAISS, Pinecone, Weaviate, or Qdrant. Fine-tune and optimize LLMs (GPT-4, Claude, LLaMA, Mistral, Gemini) with LoRA/QLoRA, quantization, and other techniques. Implement guardrails, safe API usage, and PII protection for secure deployments. Monitor/evaluate agent performance with LangSmith, AgentOps , and similar tools. Ship real-world enterprise AI use casesCopilots, orchestration engines, intelligent search, and more. Mentor and review the work of junior AI engineers, spreading best practices. Work with product, data, and DevOps teams to bring AI solutions into production at scale. What Youll Bring Solid grounding in LLMs and GenAI (fine-tuning, prompt engineering, practical deployment). Proven track record with RAG pipelines and vector databases. Hands-on with agent frameworks (LangChain, LlamaIndex, etc.) and orchestration. Experience deploying/scaling models on clouds (AWS, Azure, HuggingFace). Strong coding ability in Python or similar. Familiarity with LLM Ops : monitoring, evaluation, cost optimisation. Delivered enterprise-grade AI solutions (not just demos). Experience mentoring engineers and building technical excellence in a team. Bonus: contributed to open-source LLM projects or worked on autonomous agent use cases (research copilots, orchestration systems). Qualifications B.Tech (required). 4.57 years of relevant experience. Strong knowledge of GenAI, agentic systems, and multi-agent architectures. Attributes: clear communicator, strong leader, highly tech-savvy. Preferred: exposure to BPO/KPO environments or systems experience in enterprise AI/agentic tools. Why Quantanite ???? Hybrid work model. ???? Ongoing training, mentorship & career growth. ???? Inclusive, people-first culture. ???? Health insurance & provident fund. Quantanite is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all. ???? Ready to push agentic AI beyond theory into enterprise-scale impact Lets build the future together. Apply today to discover how we can build better, together. Show more Show less

About BiteSpeed Hey there! We are a Sequoia-backed SaaS startup building an AI-native Marketing, Support & Sales suite for e-commerce brands. Were currently working with 3000+ e-commerce brands globally across 50+ countries and are fortunate to have raised $5.5M+ along the journey with marquee investors like Sequoia Capital India, Kunal Shah, Gaurav Munjal & more backing us. ???? Read more about our mission and the story of commerce here- https://www.notion.so/bitespeed/BiteSpeed-s-Mission-the-Future-of-Commerce-b3cf14a080d94654ba46693c8cacd24f Check out more about us here - https://www.bitespeed.co/ and do read through our 200+ odd 5-star reviews to get a sense of what our customers say about us here - https://apps.shopify.com/bitespeed-fb-messenger-chatbot (we openly brag about this ????) Weve had some solid investors back us (making it easier for you to stalk us since youd do this anyway):- BiteSpeed Raises USD 3.5M Funding, Led by Peak XVs Surge- https://www.businesswireindia.com/e-commerce-ai-startup-bitespeed-raises-usd-3-5m-funding-led-by-peak-xvs-surge-92455.html E-commerce AI start-up BiteSpeed raises $3.5 million funding led by Peak XVs Surge- https://www.thehindubusinessline.com/info-tech/e-commerce-ai-start-up-bitespeed-raises-35-million-funding-led-by-peak-xvs-surge/article68863058.ece BiteSpeed Raises $1.9 Million Seed Funding From Sequoia India&aposs Surge- https://www.entrepreneur.com/en-in/business-news/bitespeed-raises-19-million-seed-funding-from-sequoia/418414 About the role Our product function so far has been founder-led largely built on internal tribal knowledge. This will be an early product hire for us with which means high product ownership . Given our multi-product DNA , there is now increasing breadth and depth in our products with each product taking a life of its own and we see value to bringing some order to the chaos with this role :). This role is as early-stage product as it gets. Morning stand-ups, scrambling through customer conversations during the day, data digging in the evenings and finally getting to those PRDs at night! The role is also at an interesting intersection of B2B SaaS customer conversations and B2C experimentation given our space. What youll do Own and drive the product roadmap , including product decisions, prioritisation and execution. Lots of user interviews & speaking to sales and CS teams to inform product decisions . Create detailed product specification documents for the design & development team. Work closely with design teams to go from ideas to user flows . Work closely with engineering on product delivery . Querying databases and monitoring dashboards to track product metrics. Research the market and competitive landscape to have a pulse of market direction. What makes you a good fit 2+ years of product management experience (B2B SaaS not necessary). Comfortable with early stage startup imperfections and able to operate in disorder. Rigour, thoroughness and detail-orientation in thought and action. Extremely high agency and adaptability. Willingness to get hands dirty with data, customer interviews and so on. Some recent experience dabbling into LLMs (nice to have, but not a deal-breaker). Salary and Location Location: Bangalore Expected CTC: We pay top of market for the right folks and also offer generous equity (ESOP) to everyone in the team. Our Way Of Life - https://www.notion.so/bitespeed/Way-Of-Life-At-BiteSpeed-44d9b9614d9641419da910189b1e9f8e. Our Purpose At BiteSpeed, work is personal. You could blame this on us being existential, but most of us are spending the best years of our lives doing this and we want to be purposeful about the kind of workplace were trying to create. Our purpose is about why were here and what we care about:- Personal Transformation Wealth Creation Winning Together Our Values Our values are about how we do what we do. Values define the right thing to do. We hire, reward and sometimes have to let go based on our values. We have 5 core values:- Go Above And Beyond Making Things Happen Say It Like It Is Progress Over Perfection Dont Take Yourself Seriously, Take Your Work Seriously Perks & Benefits Small things weve done to ensure we take care of our wellness, learning & keep things fun:- Health Insurance - Health insurance cover and accident coverage for extra cushion and mental peace when rainy days hit us. Quarterly Off-sites - Quarterly off-sites are a core part of the BiteSpeed culture. Our off-sites range from intense quarter planning sessions to crazy mafia nights and competitive cricket matches (with a lot of trash talking). Cult Fitness Membership - All work and no play makes jack a dull boy. Cult Fit and Cult Play passes to make sure we hit the gym more often. Personal Development - We sponsor courses, conference tickets, books on a case to case basis to ensure were constantly growing. Salary In Advance - Trust first, by default. We pay out salaries in the first week of the month. Know someone who might be a great fit Refer them to us, if they end up joining we&aposll send you an Apple AirPods Pro as a gesture of thanks! For any queries feel free to write to [HIDDEN TEXT]. Show more Show less

As an experienced engineer interested in contributing to a team responsible for enhancing the ingestion and processing experiences for New Relic Logs, you will lead the design, development, and enhancement of core features for the Log streaming Platform. Your role will involve continuously improving the reliability, cost-efficiency, and quality of the Log Platform. Collaborating cross-functionally, you will design and implement robust, scalable, and efficient systems to meet evolving customer needs. You will partner with product managers, designers, and stakeholders to translate requirements into technical solutions, championing best practices and collaboration. Your responsibilities will include mastering the architecture and components of the Log Platform, leading the end-to-end development of key platform features, and making significant contributions to improving platform reliability. You will actively contribute to and review code across platform components, ensuring compliance with organizational security and quality standards. Achieving autonomy in on-call and support responsibilities will be a key aspect of this role. To excel in this position, you should possess a Bachelor's degree in a software development or engineering-related technical field, along with at least 5 years of software engineering experience. Proficiency in Java and/or Go, strong CS fundamentals, and adaptability to new languages are essential. You should have proven experience with public clouds like AWS, Azure, GCP, and cloud-native technologies such as Kubernetes, Docker, Helm, Kafka, OpenTelemetry, and serverless, coupled with a passion for new technologies. Experience in designing, building, and maintaining large-scale software systems, understanding of scalable distributed systems and microservices architecture, and exposure to AI/ML will be beneficial. Bonus points if you have experience with real-time data streaming and processing services, high-throughput data pipelines, distributed systems, and Observability products, particularly in the SaaS space. At New Relic, fostering a diverse, welcoming, and inclusive environment is a priority. We value the unique backgrounds and abilities of our team members and strive to create a workplace where everyone feels comfortable being their authentic selves. We are committed to empowering all individuals to achieve professional and business success through a flexible workforce model, offering various workplace options including fully office-based, fully remote, or hybrid. As part of our hiring process, all selected candidates must verify identity and eligibility to work and complete employment eligibility verification. A criminal background check is required due to our stewardship of customer data. We consider qualified applicants with arrest and conviction records based on individual circumstances and applicable laws, including the San Francisco Fair Chance Ordinance. If you require a reasonable accommodation during any part of the application or recruiting process, please contact us at resume@newrelic.com. For more information, review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy.,

We are looking for a hands-on Delivery Lead with 10-12 years of experience to take charge of end-to-end execution of AI/ML projects, provide guidance to technical teams, and collaborate with sales to expand our consulting solutions. In this role, you will be responsible for project delivery by managing client-facing AI/ML projects from scoping to deployment, ensuring high quality, meeting timelines, and delivering business impact. You will also be guiding teams on architecture, model design, and deployment on cloud or on-premises environments. As a Team Leader, you will lead and mentor data scientists and engineers, encouraging skill development and fostering collaboration within the team. You will drive the adoption of best practices in AI/ML such as LLMs, MLOps, and Agile methodologies. Collaboration with the sales team is a key aspect of this role. You will partner with sales to define project scopes, estimate efforts, and present technical solutions to clients effectively. The ideal candidate should have 10-12 years of experience in AI/ML, with at least 5 years of experience leading teams in consulting or client delivery. Proficiency in AI/ML frameworks like TensorFlow, PyTorch, LLMs, cloud platforms such as AWS, Azure, GCP, CI/CD pipelines, Python/R, data engineering tools like Spark, Kafka, as well as strong communication and client/stakeholder management skills are essential. Additionally, familiarity with MLOps tools like Docker, Kubernetes, and Agile/Scrum certification would be advantageous. A Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with certifications such as AWS ML or Azure AI Engineer, would be a plus. Join us at Soothsayer Analytics, a global AI & Data Science consultancy based in Detroit with a thriving delivery center in Hyderabad. We specialize in designing and implementing custom end-to-end Machine Learning solutions covering predictive analytics, optimization, NLP, and GenAI, empowering leading enterprises to predict, automate, and gain a competitive advantage. If you are looking to work on impactful, cross-industry projects where your ideas swiftly transition from concept to production, influencing the future of data-driven decision-making, then we welcome you to join our team.,

Location: Bengaluru, India (On-site) We are seeking a talented and versatile Full Stack Developer to join our Generative AI team. In this role, you will work at the intersection of AI innovation and modern web development, building intelligent, scalable applications that leverage cutting-edge AI models and frameworks. Youll collaborate closely with AI engineers, product managers, and UX designers to bring GenAI-powered products from concept to production. Responsibilities Design, develop, and maintain full-stack web applications integrating Generative AI models (e.g., OpenAI, Hugging Face, Azure OpenAI, etc.) Build robust APIs and backend systems to support AI workflows (prompt chaining, orchestration, embeddings, etc.) Develop modern front-end interfaces using frameworks like React, Next.js, or Angular Work closely with AI and ML teams to embed LLMs, vector databases, and model APIs into production-grade systems Ensure applications are secure, scalable, and performant Contribute to prompt engineering, agent orchestration logic, and AI user interaction design Collaborate with cross-functional teams in agile sprints Write unit and integration tests to ensure code quality Participate in code reviews, design sessions, and architectural discussions Requirements 3+ years of experience in full stack development (Node.js, Python, or .NET backend preferred) Strong experience with front-end frameworks: React, Vue.js, or Angular Solid understanding of RESTful APIs, GraphQL, and backend design principles Familiarity with LLMs, transformers, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, FAISS) Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes) Ability to work with both SQL and NoSQL databases Exposure to AI/ML libraries like OpenAI API, LangChain, Hugging Face, or Azure OpenAI Excellent problem-solving, collaboration, and communication skills Good to Have Experience with LLMOps and AI application lifecycle management Hands-on experience with agent-based AI frameworks (e.g., AutoGPT, LangGraph) Experience integrating authentication, logging, monitoring, and analytics tools Knowledge of CI/CD pipelines, GitHub Actions, or Azure DevOps Skills: nodejs,reactjs,nextjs,genai,azure,design,stack,databases,prompt,angular,code,ml,models,orchestration Show more Show less

Position Summary... What you&aposll do... About the Team: The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates focus on what matters most -supporting our customers and members. People Technology is a significant segment of Walmart Global Techs Enterprise Business Services, invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience. About People.AI Team: The People.AI team is responsible for developing and deploying AI/ML solutions supporting the Walmart associates globally. In this role, you will build an LLM-powered intelligent voice-based experience to integrate with associate facing contact centers to enhance associate experience, increase first call resolution and drive productivity by implementing self-service Q&A and action agents. You will design and build an intelligent conversational architecture that improves communication, automates tasks, accesses data and insights, and provides personalized Q&A support to associates in a multi-modal setup and ultimately creating a more efficient and engaging work environment. What you&aposll do: This is a vital role with significant growth prospects. You will have work to do from day one and you will be counted on to create opportunities that align with the overall organization&aposs goals. Some of this roles key responsibilities include, but not limited to: Design, develop, and deploy LLM-powered intelligent applications that enhance productivity and engagement for Walmart associates across the globe. Build and integrate enterprise-grade conversational agents and AI copilots into contact centers, chatbots, internal portals, and business applications to automate tasks, improve communication, and provide real-time, contextualized support. Leverage state-of-the-art LLMs and frameworks like LangChain, LangGraph to create dynamic, natural language interfaces over enterprise data. Implement retrieval-augmented generation (RAG) pipelines using vector databases such as Milvus or FAISS to enable deep integration with Walmarts knowledge ecosystem. Enhance the clarity, conciseness, and readability of generated knowledge Q&A to ensure it is wellsuited for voice-based service agents. Build developer-friendly tools and reusable frameworks that abstract key aspects of ML and LLM system complexityenabling developers without prior ML experience to quickly build highquality, scalable AI solutions with minimal friction, while maintaining reliability, governance, and performance standards. Act as a platform enabler and technical collaborator, working closely with Data Scientists, Software Engineers, Product Managers, and MLOps/DevOps teams to streamline model deployment, monitoring, and lifecycle management. Design end-to-end system architecture for GenAI applications and its integration with contact centers, chatbots and other business applications What youll bring: You have 15+ years' experience in design, development and maintenance of highly scalable, secure and user-centric products and platforms Expert-level proficiency in programming languages such as Python or Java, with a strong track record of delivering high-performance, production-grade code for machine learning applications. Proven experience designing, developing, and operationalizing end-to-end ML systems, including data ingestion, feature engineering, model training, deployment, and monitoring. A solid understanding of core machine learning principles, including various model families (e.g., tree-based models, deep neural networks), feature selection techniques, and practical challenges such as data quality, bias, and concept/data drift. Deep experience in Linux-based development environments, along with containerization using Docker and orchestration with Kubernetes for scalable ML service deployment. Hands-on experience working with cloud platforms like Google Cloud Platform (GCP) or Microsoft Azure, with familiarity in their AI/ML tools, infrastructure components, and DevOps ecosystems. Proficiency in building and scaling API-based services and distributed systems, and in managing workflows using tools such as Apache Airflow or similar orchestration frameworks. Strong working knowledge of SQL and modern data engineering practices, enabling seamless integration of ML pipelines with batch and streaming data sources. Proficient in version control with Git, and experienced in collaborating within agile, crossfunctional software teams. A deep grasp of software engineering best practices, including API design, automated testing, CI/CD pipelines, and observability for ML-driven systems. Clear and confident communication skills, with the ability to understand cross-functional requirements and translate them into scalable technical solutions. A mindset grounded in intellectual curiosity, with a passion for MLOps, cloud-native technologies, and driving innovation in scalable AI infrastructure. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity expert&aposs and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone isand feelsincluded, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor&aposs degree in computer science, computer engineering, computer information systems, software engineering, or related area and6 years experience in software engineering or related area. Option 2: 8 years experience in software engineering or related area. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Masters degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2218294 Show more Show less

Our client is building the infrastructure layer for Indias gig workforce. Through their super app, they provide jobs, housing, meals, healthcare, EVs, and financial services to migrant workers. Their mission is to make migration humane by offering stability, dignity, and opportunity to workers, while helping enterprises access a reliable workforce at scale. They are now looking to onboard a seasoned Financial Controller who can establish financial discipline across accounting, reporting, compliance, and controls. This role will be the backbone of the finance functionensuring accuracy, audit readiness, risk management, and cash visibilitywhile enabling business leaders to scale with confidence. Key Responsibilities Controllership & Accounting : Lead month-end/year-end close, ensuring timely and accurate financials (IGAAP/IND AS/IFRS). Audit & Compliance : Drive statutory, tax, and regulatory reporting; lead external and internal audits to achieve clean outcomes. Internal Controls & Governance : Build strong financial frameworks, minimize risk, and uphold compliance culture. Cash & Working Capital : Manage liquidity, optimize collections/payables, and enforce working capital discipline. Systems & Processes : Implement ERP & BI tools, streamline operations, and standardize accounting policies across entities. Business Partnering : Collaborate with leadership on capital allocation, cost management, and investor relations. Qualifications & Experience Chartered Accountant (CA) with 1015 years of progressive experience in accounting, controllership, or audit. Strong track record in delivering clean audits, compliance excellence, and financial controls. Prior experience in fast-paced, high-growth environments (startup, fintech, or consumer). In-depth knowledge of IGAAP, IND AS, IFRS, and statutory/regulatory requirements . Hands-on expertise with ERP (Zoho) and BI tools (Power BI, Tableau, Excel Advanced, LLMs). Core Attributes Relentless attention to detail & accuracy. High integrity with a strong governance mindset. Ability to deliver under pressure and tight timelines. Balance of deep accounting expertise with sound business judgment. Excellent communication skills for board, auditors, and cross-functional stakeholders. Show more Show less

Interview mode: In-person( Varanasi) | Exp: 2-5 yrs Develop & maintain Python/Django backends, implement LangChain & RAG, build AI workflows, optimize data, manage MySQL, deploy via Docker/Linux; plus web scraping(BS4), Cloud, HTML/CSS is a bonus.

Apply only if your skills and experience matches with jd. Immediate or 15 days For Detailed JOB DESCRIPTION https://docs.google.com/document/d/1IWoipCZ5u30tNIcu0Ztzo0a1TrXHmldjFuBbNbflVvw/edit?usp=sharing Health insurance Provident fund

Minimum of 6 years hands-on experience in Java or Python development, with a strong portfolio of enterprise-grade applications. Candidate should have worked on capital Market domain for minimum 1 Project. Significant experience deploying, managing, and scaling applications on major cloud platforms (e.g., AWS, Azure, Google Cloud). Full stack engineering background with JavaScript or React is a strong plus. Familiarity with large language models (LLMs), prompt engineering, or GenAI-powered developer tools. Familiarity with relational and NoSQL databases, including design, optimization, and administration. Solid understanding of security best practices, including secure coding, vulnerability remediation, and compliance standards. Ability to work collaboratively in cross-functional teams, especially with product managers, engineers, and AI specialists. Experience with modern DevOps practices. Strong problem-solving skills and the ability to translate developer pain points into robust technical solutions. Solid understanding of AI and machine learning fundamentals, with practical exposure to integrating AI capabilities into production systems. Contact Person: Sangeetha Tamil Email ID: sangeetha@gojobs.biz

About DevRev DevRev is a rapidly growing SaaS innovator, building AgentOS - a unified platform that streamlines collaboration for support, product, and growth teams. The mission of DevRev is to help SaaS companies accelerate product velocity and reduce customer churn through AI-driven analytics and seamless integrations. Headquartered in Palo Alto and backed by leading investors, we are expanding our global team in Chennai. About the Team The Applied AI Engineering team at DevRev serves as the bridge between DevRev's core product and the unique needs of our customers. We work closely with clients to design, develop, and implement integrations, automations, and AI-powered enhancements that unlock real value from the DevRev platform. Role Overview As an Applied AI Engineer at DevRev, you will play a pivotal role in delivering custom solutions for our customers. Leveraging your expertise in integrations, cloud/serverless technologies, and AI/ML, you will connect DevRev with diverse SaaS and enterprise systems. Collaboration with cross-functional teams and direct engagement with customers are key aspects of this role, ensuring successful adoption and maximum impact. Key Responsibilities - Design, develop, and maintain integrations and automations between DevRev and third-party SaaS/non-SaaS systems using APIs, webhooks, and real-time communication architectures. - Utilize AI/ML, including Generative AI and large language models (LLMs), to address customer challenges and optimize workflows. - Construct and optimize knowledge graphs and semantic search engines to enhance data discovery processes. - Analyze data, craft SQL queries, and build dashboards to deliver actionable insights to customers and internal teams. - Collaborate with customers and internal stakeholders (Product, Engineering, Customer Success) to elicit requirements and deliver tailored solutions. - Document solutions to ensure maintainability, scalability, and resilience in all integrations. - Deploy and manage solutions on serverless/cloud platforms (AWS Lambda, Google Cloud Functions, Azure Functions, etc.). - Ensure the security of API integrations, including OAuth, API key/token management, and secrets handling. Required Skills & Qualifications - 6+ years of experience in integration software development, focusing on APIs, webhooks, and automation for customer-facing solutions. - Proficiency in coding using TypeScript, JavaScript, Python, or Go. - Hands-on experience with serverless/cloud platforms (AWS Lambda, Google Cloud Functions, Azure Functions, etc.). - Familiarity with OpenAPI specifications, SDK integrations, and secure API practices (OAuth, API keys, secrets management). - Solid understanding of event-driven and pub/sub architectures. - Expertise in data mapping, transformation, and working with graph data structures. - Background in AI/ML, especially LLMs, prompt engineering, or semantic search, is a strong advantage. - Excellent communication and documentation skills. - Bachelor's degree in Computer Science, Engineering, or related field (advanced certifications in AI/architecture are a plus).,

We are seeking a dynamic and versatile Junior AI Builder & Full Stack Engineer to join our AI & Automation team. This hybrid role combines Generative AI development with full stack engineering , ideal for candidates who are passionate about building intelligent, scalable, and user-friendly solutions using OpenAI , LLMs , and Agentic AI architectures . You'll work on cutting-edge projects involving AI-driven automation , natural language interfaces , and enterprise-grade web applications . Key Responsibilities: Design and implement AI-powered solutions using Microsoft AI Builder , Power Platform , and OpenAI APIs . Build and integrate LLM-based workflows for tasks like summarization, Q&A, content generation, and intelligent agents. Develop and maintain full stack applications using Java or Python (backend) and React.js (frontend) . Collaborate with cross-functional teams to deliver end-to-end AI-enabled products. Assist in prompt engineering, model evaluation, and deployment of Agentic AI systems . Ensure performance, scalability, and security of AI and web applications. Document technical designs and contribute to internal knowledge sharing. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 0-2 years of experience in AI/ML development and full stack engineering. Proficiency in Java or Python for backend development. Hands-on experience with React.js for building modern UIs. Familiarity with Microsoft Power Platform (Power Apps, Power Automate, AI Builder). Basic understanding of Generative AI , LLMs , and prompt engineering . Exposure to OpenAI , Azure OpenAI , or similar APIs. Strong problem-solving and communication skills. Preferred Qualifications: Experience with Azure Cognitive Services , LangChain , or Semantic Kernel . Understanding of Agentic AI architectures and autonomous agents. Knowledge of REST APIs , GraphQL , and microservices . Familiarity with DevOps , CI/CD pipelines , and cloud platforms (Azure, AWS).