Position Title: AI Automation Specialist (No-Code/Low-Code Expert) Location: E2, Plot No. 4, Jhandewalan Extension, Near Metro Station Gate No. 2, New Delhi – 110055 Employment Type: Full-time / Contract (based on experience) Company Overview BookLeaf Publishing is one of India’s most trusted self-publishing platforms, recognized for its innovation, scalability, and process automation. We’re committed to transforming the publishing landscape through intelligent systems that minimize manual intervention and maximize efficiency. Role Summary We are seeking a driven AI Automation Specialist to join our team. In this role, you will lead the design and deployment of intelligent, scalable systems using no-code/low-code platforms and AI-based integrations. Your core responsibility will be to eliminate repetitive tasks and enhance operational efficiency across departments. Key Responsibilities Develop and maintain AI-driven automation tools, bots, and workflows to streamline business processes Build intelligent chatbots that handle real-time data and offer contextual support Integrate multiple platforms and tools, including CRMs, Google Sheets, email systems, and social media APIs Consolidate and synchronize customer data across systems, reducing the need for manual data handling Prepare comprehensive documentation for workflows and enable smooth handover to non-technical stakeholders Required Experience Minimum 2 year of experience in a customer support, operations, or service-oriented role — ideally within a creative or service-based industry Core Competencies and Technical Skills Proficiency in no-code/low-code automation platforms such as: Zapier, Make (Integromat) OpenAI (GPT-4, LangChain) Bubble, Airtable, Notion API Dialogflow, Botpress, Rasa Strong analytical and systems thinking, with the ability to creatively connect tools and workflows A product-oriented mindset, capable of identifying automation opportunities and implementing end-to-end solutions with minimal oversight Preferred Qualifications Experience with WhatsApp Business API or Meta Graph API Familiarity with automation in publishing, e-commerce, or customer support environments Basic scripting knowledge in Python or JavaScript for handling edge cases Why Join Us If you're passionate about building intelligent workflows, thrive on problem-solving, and want to shape the future of publishing through automation, BookLeaf Publishing offers a dynamic and forward-thinking environment for your growth. Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: ₹35,000.00 - ₹50,000.00 per month Benefits: Leave encashment Schedule: Day shift Monday to Friday Supplemental Pay: Overtime pay Application Question(s): What is your age ? Do you have your own Laptop? As we don't provide . Willing to commute to office as it's onsite Role? Work Location: In person

Company Description Cogniq AI leads the way in creating innovative AI applications that transform interactions with technology. Specializing in AI-powered apps, machine learning solutions, and Chrome extensions, we utilize cutting-edge Gen AI technologies like OpenAI and Gemini APIs. Our solutions, including productivity tools and bespoke AI wrappers, are designed to be intuitive and impactful. Our research-driven approach ensures we deliver scalable, user-friendly applications that redefine possibilities, enhancing user experiences. Role Description This is a remote internship role for an App Marketing Intern. The App Marketing Intern will be responsible for conducting market research, assisting in developing marketing strategies, supporting sales efforts, and providing customer service. Day-to-day tasks will include gathering market data, crafting marketing plans, promoting AI-driven applications, and engaging with customers to ensure satisfaction. Note: This will be an unpaid internship for first 2 months, with potential for the full time opportunity. Qualifications Strong Communication and Customer Service skills Experience in Market Research and Sales Ability to develop and execute Marketing Strategies Excellent written and verbal communication skills Ability to work independently and remotely Interest in AI and AI-powered applications is a plus Currently pursuing or recently completed a degree in Marketing, Business, Communications, or a related field Show more Show less

Proficient in Python, Node.js (or Java), and React (preferred). Experience with AWS Services: S3, Lambda, DynamoDB, Bedrock, Textract, RDS, Fargate. Experience in LLM-based application development (LangChain, Bedrock, or OpenAI APIs). Strong in NLP and embeddings (via SageMaker or third-party APIs like Cohere, Hugging Face). Knowledge of vector databases (Pinecone, ChromaDB, OpenSearch, etc.). Familiar with containerization (Docker, ECS/Fargate). Excellent understanding of REST API design and security. Experience handling PDF/image-based document classification. Good SQL and NoSQL skills (MS SQL, MongoDB). Preferred Qualifications: AWS Certified – especially in AI/ML or Developer Associate. Job Types: Full-time, Fresher, Internship Pay: ₹554,144.65 - ₹1,500,000.00 per year Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Role : Senior Software Developer Location : Mumbai (Onsite) Employment Type : Full-time CTC : 6 lpa - 8lpa Working Days : Monday – Friday About the Role : We are looking for a Senior Software Developer - Backend Focus who’s passionate about building robust, scalable systems and pushing the boundaries of automation and AI-driven solutions. This role is perfect for someone who thrives in a fast-paced, collaborative environment and loves experimenting with the latest backend and AI technologies. Key Responsibilities: Design, develop, and maintain scalable backend services using Node.js and Express . Work with PostgreSQL and MongoDB for efficient data modeling and storage. Build and integrate RESTful APIs to support web and mobile applications. Integrate and manage payment gateways like Stripe and Razorpay . Develop and deploy serverless functions using AWS Lambda . Set up and manage CI/CD pipelines for streamlined deployment. Collaborate with cross-functional teams to design and implement features. Implement intelligent automation using tools like Windsurf . Work on AI integrations using OpenAI, ChatGPT, Claude , etc. Design and optimize AI prompts for high-performing outputs. Handle prompt chaining , context management , and memory in AI integrations. You Are a Great Fit If You: Have solid hands-on experience with Node.js , Express , and database systems. Understand how to build secure and optimized APIs. Have experience working with OpenAI APIs , especially in prompt engineering . Know how to integrate prompts into backend logic. Understand how to chain prompts, manage memory, and maintain AI context. Are familiar with tools like Windsurf or other automation platforms. Have experience deploying and scaling services on AWS . Can independently troubleshoot and optimize backend performance. Why Join Us? Work at the intersection of travel and tech. Be part of a creative, people-driven culture where innovation is celebrated. Collaborate with teams building next-gen AI-powered travel experiences. If you're an enthusiastic developer who loves bringing ideas to life through code and AI, we'd love to hear from you! Come build the future of travel with us at Travelxp. Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: Software development: 2 years (Preferred)

Location: Remote (India); Chennai preferred Company: Neodonya Recruit About Neodonya Recruit: Neodonya is transforming technical hiring. Our platform uses semantic CV matching, AI avatars for interviews, and competency-based evaluation to help companies hire better, faster, and smarter. We combine React-based frontend, AI-driven logic, and video workflows into a seamless experience for candidates and recruiters. Role Overview: We’re looking for a Software Engineer who can own our codebase and take it to the next level. This means ensuring a rock-solid production environment, managing Git branches and deployments, and contributing directly to feature development. You'll work across our React-based frontend , AI components (LLMs, RAG), and backend services to create a fast, reliable, and intelligent hiring platform. What You’ll Do: Own codebase reliability : Ensure that the production branch is stable, scalable, and well-documented. Write code that ships : Design and implement new features in React and backend components. Architect for scale : Proactively improve system design and modularity to handle growing usage. Integrate AI tools : Work with large language models (LLMs), RAG pipelines, and other AI tools. Manage releases : Oversee Git workflows, pull requests, commits, and CI/CD pipelines. Solve problems quickly : Debug and resolve live issues with urgency and discipline. Collaborate with the founding team to prioritize technical debt vs. new features. You’ll Succeed If You Have: 3+ years of full-stack or frontend engineering experience. Strong experience with React (Hooks, component architecture, performance tuning). Experience deploying production systems with reliability and Git best practices. Comfort working with APIs, databases , and Node.js or similar backend environments. Understanding of LLMs (e.g. OpenAI, LangChain) and how to build with RAG models. A product mindset — you care about the end user experience. Bonus Points For: Unity or video integration experience. Experience with Firebase or cloud functions. Familiarity with prompt engineering or vector database querying. Startup experience or having shipped products from scratch. Why Join Neodonya? This is a chance to shape an ambitious product at the intersection of AI and recruitment. We’re already helping hiring teams cut time-to-hire by 70% — and with your help, we’ll go even further. If you care about clean code, real impact, and building what matters — we’d love to meet you. Show more Show less

We are seeking a highly skilled Senior Technical Architect with expertise in Databricks, Apache Spark, and modern data engineering architectures. The ideal candidate will have a strong grasp of Generative AI and RAG pipelines and a keen interest (or working knowledge) in Agentic AI systems. This individual will lead the architecture, design, and implementation of scalable data platforms and AI-powered applications for our global clients. This high-impact role requires technical leadership, cross-functional collaboration, and a passion for solving complex business challenges with data and AI. Responsibilities Lead architecture, design, and deployment of scalable data solutions using Databricks and the medallion architecture. Guide technical teams in building batch and streaming data pipelines using Spark, Delta Lake, and MLflow. Collaborate with clients and internal stakeholders to understand business needs and translate them into robust data and AI architectures. Design and prototype Generative AI applications using LLMs, RAG pipelines, and vector stores. Provide thought leadership on the adoption of Agentic AI systems in enterprise environments. Mentor data engineers and solution architects across multiple projects. Ensure adherence to security, governance, performance, and reliability best practices. Stay current with emerging trends in data engineering, MLOps, GenAI, and agent-based systems. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related technical discipline. 10+ years of experience in data architecture, data engineering, or software architecture roles. 5+ years of hands-on experience with Databricks, including Spark SQL, Delta Lake, Unity Catalog, and MLflow. Proven experience in designing and delivering production-grade data platforms and pipelines. Exposure to LLM frameworks (OpenAI, Hugging Face, LangChain, etc.) and vector databases (FAISS, Weaviate, etc.). Strong understanding of cloud platforms (Azure, AWS, or GCP), particularly in the context of Databricks deployment. Knowledge or interest in Agentic AI frameworks and multi-agent system design is highly desirable. Technical Skills Databricks (incl. Spark, Delta Lake, MLflow, Unity Catalog) Python, SQL, PySpark GenAI tools and libraries (LangChain, OpenAI, etc.) CI/CD and DevOps for data REST APIs, JSON, data serialization formats Cloud services (Azure/AWS/GCP) Soft Skills Strong communication and stakeholder management skills Ability to lead and mentor diverse technical teams Strategic thinking with a bias for action Comfortable with ambiguity and iterative development Client-first mindset and consultative approach Excellent problem-solving and analytical skills Preferred Certifications Databricks Certified Data Engineer / Architect Cloud certifications (Azure/AWS/GCP) Any certifications in AI/ML, NLP, or GenAI frameworks are a plus Show more Show less

Job Description We are seeking a highly skilled Senior Technical Architect with expertise in Databricks, Apache Spark, and modern data engineering architectures. The ideal candidate will have a strong grasp of Generative AI and RAG pipelines and a keen interest (or working knowledge) in Agentic AI systems. This individual will lead the architecture, design, and implementation of scalable data platforms and AI-powered applications for our global clients. This high-impact role requires technical leadership, cross-functional collaboration, and a passion for solving complex business challenges with data and AI. Key Responsibilities Lead architecture, design, and deployment of scalable data solutions using Databricks and the medallion architecture. Guide technical teams in building batch and streaming data pipelines using Spark, Delta Lake, and MLflow. Collaborate with clients and internal stakeholders to understand business needs and translate them into robust data and AI architectures. Design and prototype Generative AI applications using LLMs, RAG pipelines, and vector stores. Provide thought leadership on the adoption of Agentic AI systems in enterprise environments. Mentor data engineers and solution architects across multiple projects. Ensure adherence to security, governance, performance, and reliability best practices. Stay current with emerging trends in data engineering, MLOps, GenAI, and agent-based systems. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related technical discipline. 10+ years of experience in data architecture, data engineering, or software architecture roles. 5+ years of hands-on experience with Databricks, including Spark SQL, Delta Lake, Unity Catalog, and MLflow. Proven experience in designing and delivering production-grade data platforms and pipelines. Exposure to LLM frameworks (OpenAI, Hugging Face, LangChain, etc.) and vector databases (FAISS, Weaviate, etc.). Strong understanding of cloud platforms (Azure, AWS, or GCP), particularly in the context of Databricks deployment. Knowledge or interest in Agentic AI frameworks and multi-agent system design is highly desirable. Technical Skills Databricks (incl. Spark, Delta Lake, MLflow, Unity Catalog) Python, SQL, PySpark GenAI tools and libraries (LangChain, OpenAI, etc.) CI/CD and DevOps for data REST APIs, JSON, data serialization formats Cloud services (Azure/AWS/GCP) Soft Skills Strong communication and stakeholder management skills Ability to lead and mentor diverse technical teams Strategic thinking with a bias for action Comfortable with ambiguity and iterative development Client-first mindset and consultative approach Excellent problem-solving and analytical skills Preferred Certifications Databricks Certified Data Engineer / Architect Cloud certifications (Azure/AWS/GCP) Any certifications in AI/ML, NLP, or GenAI frameworks are a plus Show more Show less

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Summary We are looking for a highly experienced Senior Technical Architect – Gen AI/ML who will play a key role in shaping and driving the architecture and technology strategy for Generative AI and Machine Learning based applications. This is a hands-on leadership role requiring deep technical expertise in AI/ML, strong knowledge of cloud platforms (preferably Microsoft Azure), and the ability to design scalable, secure, and high-performance systems. The ideal candidate is a solution visionary and technical leader who can partner with cross-functional teams to define, design, and deliver cutting-edge AI-driven solutions. Key Responsibilities Solution Architecture & Design Architect end-to-end AI/ML and Gen AI solutions tailored to business needs across multiple domains. Define system architecture, technology stack, and integration strategy for AI-enabled products and platforms. Establish architecture best practices, reusable components, and reference implementations. Hands-on Implementation Lead from the front with prototyping, POCs, and reference models using tools like Azure OpenAI, Hugging Face, LangChain, MLflow, PyTorch, TensorFlow, etc. Drive integration of AI/LLM solutions (RAG, multi-agent systems, embeddings, etc.) into enterprise applications. Evaluate and optimize model performance using advanced metrics and testing. Ensure performance tuning, security, scalability, and reliability of AI solutions. Cloud & MLOps Leverage Azure cloud services such as Azure Machine Learning, Azure OpenAI, Cognitive Services, Azure Kubernetes Service, etc. Design and implement CI/CD pipelines, model versioning, deployment, monitoring, and governance frameworks using MLOps best practices. Technical Skills Strong expertise in Generative AI, LLMs, and ML/DL models. GenAI & LLMs: RAG, LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, Autogen, TaskWeave RAG Evaluation with experience in RAGA frameworks, DeepEval Hands-on with Azure AI stack – Azure OpenAI, Azure ML, Cognitive Services, Synapse, AKS, with familiarity in AWS/GCP as a plus Proficient in Python, C#, Microservices, PyTorch, TensorFlow, LangChain, Vector DBs (Pinecone, LanceDB, FAISS, etc.) Solid understanding of model fine-tuning, prompt engineering, RLHF, and embedding techniques. Deep experience in designing and deploying ML/AI pipelines using Azure, MLOps, Docker, Kubernetes, and API Gateways. Goos understanding of LLM-powered agents, toolchains (e.g., LangChain Agents, Semantic Kernel), and how to embed reasoning and memory into AI-driven solutions. Experience designing and implementing MCP-based orchestration layers to modularize and scale interactions with LLMs and Gen AI components. Experience 10+ years in software architecture and enterprise application development. 3+ years of experience leading Gen AI / ML solutions in production environments. Experience with enterprise-grade solutioning, technical due diligence, and stakeholder management. Proven record of working on Brownfield project. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy. Show more Show less

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Overview: Lead the architecture and delivery of generative AI solutions, ensuring best practices in data processing, LLM integration, and AWS deployment. Key Responsibilities Architect and oversee AI/ML pipelines using AWS Bedrock for hosting and fine-tuning LLMs. Design and manage vector search infrastructure (OpenSearch or equivalent) for semantic retrieval. Define data workflows: text chunking, preprocessing, and vectorization (Python or similar). Evaluate and integrate LLMs (Anthropic Claude, OpenAI GPT, etc.), optimizing for cost, latency, and accuracy. Mentor engineers on coding standards (Python), CI/CD, and production deployment (Docker, Kubernetes/EKS). Qualifications 5+ years in AI/ML engineering, with 2+ years leading AI projects. Hands-on AWS Bedrock and OpenSearch experience. Strong Python skills for data pipelines and microservices. Familiar with LLM workflows (prompt engineering, fine-tuning). Solid communication and stakeholder-management abilities. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy. Show more Show less

Responsibilities: Architect, build, and scale backend services using Node.js and TypeScript , deployed via Google Cloud Platform (GCP), including Firebase and Cloud Run . Design and maintain real-time AI data pipelines integrating biometric wearables, electronic health records, and live voice interactions. Optimize performance and data processing pipelines for biometric signals (heart rate, sleep data, blood pressure, etc.). Integrate with AI services such as OpenAI and LiveKit to support real-time voice interactions. Develop and maintain secure, HIPAA-compliant API endpoints for sensitive medical and biometric data. Collaborate with frontend developers, AI engineers, and designers to bring OmegaX’s product vision to life. Drive decisions around infrastructure, performance optimization, and scalability. Requirements: 4+ years of experience in backend development using Node.js and TypeScript . Proven experience with Google Cloud Platform services such as Firebase, Cloud Run, or Compute Engine. Strong understanding of real-time systems , WebSockets , and optimizing API response times for voice and live interactions. Proficiency in databases such as Firestore , PostgreSQL , or NoSQL alternatives. Experience designing or working with event-driven architectures and real-time APIs . Deep understanding of data security , authentication , and privacy protocols , particularly for healthcare systems (HIPAA, GDPR). Startup mindset: adaptable, collaborative, and energized by ambitious roadmaps. Strong communication skills and a passion for building impactful healthcare solutions powered by AI. Nice to Have: Hands-on experience with LiveKit , OpenAI APIs , or other real-time conversational AI tools. Familiarity with Web3 technologies, such as Solana , smart contracts , DAO governance , or zero-knowledge proofs (ZKPs) . Prior experience handling medical data in compliance with privacy regulations (HIPAA, GDPR). Interest in reshaping the healthcare experience through intelligent, real-time, patient-centric technologies. Show more Show less

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role- SRE Labs, part of PayPal’s Site Reliability Engineering (SRE) organization, is seeking a Staff Software Engineer to lead and shape our Generative AI (GenAI) practice. In this high-impact role, you’ll architect and deliver scalable, production-grade AI solutions—ranging from intelligent chatbots to next-gen automation tools. You'll bring deep engineering expertise and a passion for AI innovation to transform how PayPal builds resilient and intelligent systems. This is a hands-on role with strategic reach: you’ll design, build, and lead AI-first platforms and services that redefine reliability engineering. You’ll work in a fast-paced, agile environment alongside top-tier engineers, product leads, and business partners to bring meaningful, customer-facing innovation to life. Meet our team PayPal SRE is a continuous engineering discipline that effectively combines software development and systems engineering to build and run scalable, distributed, fault-tolerant systems. The SRE team works together to ensure a continuous improvement to optimize for capacity and performance. SRE Labs enables innovation and builds enterprise-wide platforms to support Reliability. Job Description: Your way to impact In this role, you’ll drive the adoption of Generative AI across PayPal’s Site Reliability Engineering organization by building intelligent, scalable platforms—like AI-powered chatbots and predictive systems—that enhance system reliability and engineering productivity. Your work will enable automation at scale, reduce operational toil, and deliver real-time insights that empower engineers across the business. As a technical leader in SRE Labs, you’ll shape how reliability engineering evolves at PayPal, influencing architecture, best practices, and product direction. You’ll be part of a collaborative, high-performance team that brings cutting-edge technology into mission-critical environments. Your day to day In your day to day role you will Lead the design and development of GenAI-driven platforms, including intelligent chatbots, AI copilots, and automation tools for Site Reliability use cases. Build and deploy machine learning models in production using technologies like Python, , LangChain, LLM APIs (OpenAI, Anthropic, Azure OpenAI), Collaborate cross-functionally with product, infrastructure, and SRE teams to translate reliability pain points into scalable AI/ML-powered solutions. Develop scalable front-end and backend services using React.js and Node.js to build user-facing AI-powered applications and APIs. Drive system design and architecture decisions that ensure scalability, reliability, and maintainability of AI platforms. Mentor engineers, share best practices, and help evolve PayPal’s GenAI strategy and engineering standards. What Do You Need To Bring- A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent practical experience. 8+ years of experience designing, developing, and deploying AI/ML solutions, with a strong emphasis on LLMs, chatbots, and scalable architecture. Proficiency in Python, React.js, and Node.js, with hands-on experience building scalable applications and services. Hands-on expertise with LangChain,,lang graph, RESTful APIs and cloud platforms including deploying models in production. Strong understanding of system design principles with experience architecting large-scale, fault-tolerant distributed systems. Solid knowledge of ML pipelines, prompt engineering, retrieval-augmented generation (RAG), and integration of LLMs with enterprise systems. A proven ability to lead cross-functional projects, mentor peers, and influence technical direction while working in Agile, fast-paced environments. You have good analytical and problem-solving skills. Strong verbal and written communication skills. Flexibility and willingness to learn new technologies and adapt quickly. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0126349 Show more Show less

About the Company: Zetheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official About the Role: The Prompt Engineer Intern will be responsible for designing, developing, and optimizing AI prompts and workflows to enhance our FinTech tools, models, and websites. This includes creating prompt templates, integrating LLM capabilities, testing model outputs, and developing AI-driven features for financial applications. Responsibilities: Design and optimize prompts for large language models (LLMs) to support FinTech applications. Develop prompt templates and workflows for financial data analysis, risk assessment, and customer support. Create and maintain prompt libraries for various AI-powered features across our platforms. Integrate AI/LLM capabilities into existing web applications and tools. Test, evaluate, and iterate on prompt performance to ensure accuracy and reliability. Work with APIs from AI service providers (OpenAI, Anthropic, Google AI, etc.). Collaborate with development team to implement AI features in frontend and backend systems. Develop conversational AI interfaces for customer interactions and financial advisory services. Create documentation and best practices for prompt engineering workflows. Conduct A/B testing on different prompt variations to optimize performance. Research and implement emerging prompt engineering techniques and methodologies. Ensure AI outputs comply with financial regulations and ethical guidelines. Qualifications: Any student from any academic discipline can apply Self-learner. Basic understanding of large language models (LLMs) and prompt engineering principles. Strong analytical and problem-solving skills with attention to detail. Ability to work independently in a remote setting. Strong written communication skills for creating clear and effective prompts. Benefits: Opportunity to build practical skills with cutting-edge AI and prompt engineering technologies. Enhance your professional portfolio with real-world AI implementation projects. Exposure to FinTech industry and AI-driven financial solutions in a remote work environment. Gain experience with the latest LLMs and prompt optimization techniques. Internship Details: Duration: 1 month, 2 months, 3 months, 4 months or 6 months at the option of the student. Timings: Self-paced Type: Unpaid Show more Show less

You're not looking for another feature factory job. You want control of the architecture. Real product ownership. And the chance to build something technically ambitious, not just another CRUD app with a chatbot bolted on. This role gives you all of that. You'll lead engineering for Legends, a D2C app that teaches emotional intelligence (EQ) the way people learn hard skills: structured, measurable, and repeatable. It's a greenfield opportunity to define the tech stack, shape AI-powered feature design, and ship production-grade code. All without red tape, ceremony, or legacy constraints. You won't be doing sprint planning theater or filling in Jira tickets. You'll be solo-building with full autonomy, in a closed loop with growth. Your job is to turn product goals into a technical reality and then own the result, from the first commit to production release. This is where top 1% engineers go when they want full-stack control, direct user impact, and the mandate to move fast. What You Will Be Doing Building specs with clear scope, architecture, and delivery timelines Writing full-stack JavaScript code (React + Node.js) with AI integrations that are clean, fast, and production-ready Running tight test-deploy loops to get working features into users' hands quickly Owning features end-to-end What You Won’t Be Doing Attending alignment meetings to negotiate team dependencies or release cycles Working off of prescriptive task lists handed down from product managers Maintaining legacy codebases or spending time fixing minor bugs someone else created Senior AI Engineer Key Responsibilities Deliver a new version of Legends by independently defining, building, and shipping high-quality user-facing features. Basic Requirements Proven ability to ship production-ready consumer software Full-stack JavaScript proficiency (React + Node.js) Fluency with modern AI tools/APIs (OpenAI, LangChain, etc.) Ability to translate UX/product goals into buildable architecture Comfortable working solo and owning end-to-end implementation Nice-to-have Requirements Experience building native iOS apps Background in personalization, content delivery, or educational products About Legends Legends is a confidence-training app that builds legendary kids. Designed for kids ages 7-11 and their parents, families receive 5-minute confidence "workouts" with inspiring videos about legendary people—from celebrated artists and athletes to trailblazing scientists—plus interactive exercises that reinforce the theme of the day. 5 minutes of practice a day, confidence for a lifetime. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $75 USD/hour, which equates to $150,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5614-IN-Pune-SeniorAIEngine Show more Show less

Job Title: AI Engineer Want to join a startup, but with the stability of a larger organization? Join our innovation team at HGS that's focused on building SaaS products. If you are highly driven & passionate person who'd like to build highly scalable SaaS products in a startup type of environment, you're welcome to apply. The HGS Digital Innovation Team is designed to create products and solutions relevant for enterprises, discover innovations and to contextualize and experiment with them within a specific industry. This unit provides an environment for the exploration, development, and testing of Cloud-based Digital AI solutions. In addition to that it also looks at rapid deployment at scale and sustainability of these solutions for target business impacts. Job Overview We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1 product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral, while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-paced environments is critical. Responsibilities Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms like Meta, Azure OpenAI, Claude, and Mistral. Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI models with business requirements and user needs. Build secure, scalable, and efficient SaaS products that embody robust data management and comply with security and governance standards. Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions with business strategies and customer expectations. Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize performance through techniques like quantization and model tuning. Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring cost optimization while maintaining performance and scalability. Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually accurate and relevant outputs. Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and flexible product architecture. Monitor product performance post-launch, iterating and improving models and infrastructure to enhance user experience and scalability. Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative solutions in product development. Qualifications Bachelor’s degree or equivalent in Information Systems, Computer Science, or related fields. 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS products. Demonstrated experience in leading the development of SaaS products, from ideation to deployment, with a focus on AI-driven features. Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms. Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based services (AWS, Azure, Google Cloud). Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs. Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and integrating models into SaaS environments. Solid understanding of SaaS product lifecycle management, including customer-focused design, product-market fit, and post-launch optimization. Excellent communication and collaboration skills, with the ability to work cross-functionally and drive SaaS product success. Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and performance. Show more Show less

Education: Bachelor’s or master’s in computer science, Software Engineering, or a related field (or equivalent practical experience). About the Role We’re creating an internal platform that turns data-heavy engineering workflows—currently spread across spreadsheets, PDFs, e-mail, and third-party portals—into streamlined, AI-assisted services. You’ll own large pieces of that build: bringing data in, automating analysis with domain–specific engines, integrating everyday business tools, and partnering with a data analyst to fine-tune custom language models. The work is hands-on and highly autonomous; you’ll design, code, deploy, and iterate features that remove manual effort for our engineering and project-management teams. What You’ll Do AI & LLM Workflows – prototype and deploy large-language-model services for document parsing, validation, and natural-language Q&A. Automation Services – build Python micro-services that convert unstructured project files into structured stores and trigger downstream calculation tools through their APIs. Enterprise Integrations – connect calendars, project-tracking portals, and document libraries via REST / Graph APIs and event streams. DevOps & Cloud – containerize workloads, write CI/CD pipelines, codify infrastructure (Terraform/CloudFormation) and keep runtime costs in check. Quality & Security – maintain tests, logging, RBAC, encryption, and safe-prompt patterns. Collaboration – document designs clearly, demo working proofs to stakeholders, and coach colleagues on AI-assisted development practices. You’ll Need 5+ years professional software-engineering experience, including 3+ years Python. Proven track record shipping AI / NLP / LLM solutions (OpenAI, Azure OpenAI, Hugging Face, or similar). Practical DevOps skills: Docker, Git, CI/CD pipelines, and at least one major cloud platform. Experience integrating external SDKs or vendor APIs (engineering, GIS, or document-management domains preferred). Strong written / verbal communication and the discipline to work independently from loosely defined requirements. Nice-to-Have Exposure to engineering or construction data (drawings, 3-D models, load calculations, etc.). Modern front-end skills (React / TypeScript) for dashboard or viewer components. Familiarity with Power Automate, Graph API, or comparable workflow tools. How We Work Autonomy + Ownership – plan your own sprints, defend technical trade-offs, own deliverables end-to-end. AI-Augmented Development – we encourage daily use of coding copilots and chat-based problem solving for speed and clarity. If you enjoy blending practical software engineering with cutting-edge AI tooling to eliminate repetitive work, we’d like to meet you. Job Types: Full-time, Permanent Pay: ₹80,000.00 - ₹90,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Yearly bonus Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 30/06/2025

Job Information Date Opened 06/16/2025 Industry IT Services Job Type Full time City Pune City State/Province Maharashtra Country India Zip/Postal Code 411001 About Us CCTech 's mission is to transform human life by the democratization of technology. We are a well established digital transformation company building the applications in the areas of CAD, CFD, Artificial Intelligence, Machine Learning, 3D Webapps, Augmented Reality, Digital Twin, and other enterprise applications. We have two business divisions: product and consulting. simulationHub is our flagship product and the manifestation of our vision. Currently, thousands of users use our CFD app in their upfront design process. Our consulting division, with its partners such as Autodesk Forge, AWS and Azure, is helping the world's leading engineering organizations, many of which are Fortune 500 list of companies, in achieving digital supremacy. Job Description We are seeking a passionate and skilled AI Engineer with over 2 years of hands-on experience to join our growing team. The ideal candidate will have an engineering background and a strong grasp of modern AI technologies, especially in Prompt Engineering, Agentic AI models, and production-grade AI workflows . You’ll play a key role in building intelligent systems that augment and automate real-world business processes. Responsibility : Design, develop, and deploy AI-powered solutions using LLMs and agentic frameworks. Build and optimize prompt engineering strategies to ensure high-performance language model behavior. Create and maintain autonomous AI agents capable of executing complex multi-step task. Develop, test, and iterate on real-world AI workflows integrated into broader applications. Collaborate with product managers, designers, and engineers to translate business problems into scalable AI solutions. Monitor and fine-tune AI models in production for accuracy, performance, and cost-effectiveness. Stay current with emerging trends in generative AI, LLMs, agent-based architectures, and MLOps. Requirements 2+ years of hands-on experience in AI/ML engineering or applied NLP. Proven experience with Prompt Engineering and customizing large language model behavior. Experience developing or integrating Agentic AI frameworks (e.g., LangChain, AutoGPT, CrewAI, etc.). Strong understanding of LLMs (e.g., GPT-4, Claude, Mistral, Gemini, etc.) and how to apply them in workflow automation. Demonstrated ability to deploy working AI solutions and pipelines in production environments. Proficient in Python and relevant AI libraries (Transformers, OpenAI SDK, LangChain, etc.). Familiarity with RESTful APIs, cloud platforms (e.g., Azure, AWS, GCP), and version control tools (e.g., Git) Benefits Opportunity to work with a dynamic and fast-paced IT organization. Make a real impact on the company's success by shaping a positive and engaging work culture. Work with a talented and collaborative team. Be part of a company that is passionate about making a difference through technology.

About Consuy Consuy is reimagining enterprise technology through agentic AI. Our platform empowers enterprises by embedding hundreds of AI agents into their operations, enabling them to self-diagnose, self-solve, and self-evolve, without human intervention. Join us as we build the future of enterprise automation, powered entirely by intelligence. Role Overview We are looking for a highly motivated AI Intern to join our fast-moving startup team. This is an ideal opportunity for students or recent graduates looking to gain hands-on experience with AI tools, multi-agent workflows, prompt engineering, and product development in a real-world environment. You’ll work closely with senior AI engineers and product leads to support the development of our AI agent platform. What You’ll Do Assist in developing and testing AI agent flows using tools like LangChain and OpenAI APIs. Help with prompt engineering and prompt chaining for enterprise workflows. Research new open-source LLMs, vector stores, and orchestration techniques. Support frontend/backend developers in building AI-driven features. Contribute to documentation and technical testing of internal tools. Who You Are A student or recent graduate in Computer Science, AI/ML, Engineering, or related field. Strong interest in AI, LLMs, and multi-agent architectures. Basic programming skills in Python and familiarity with REST APIs. Eager to learn, experiment, and contribute to an ambitious AI product. Self-driven and capable of working independently in a remote environment. Bonus Skills Familiarity with LangChain, Pinecone, Haystack, or similar tools. Exposure to prompt engineering or chatbot design. Interest in frontend AI tools or visual workflow builders. What You’ll Gain Deep exposure to cutting-edge AI systems and agentic workflows. Mentorship from engineers working on complex AI architectures. Real product contributions you can reference in future roles. Certificate and Letter of Recommendation upon successful completion. Potential for conversion to a full-time, paid role based on performance. Note: This is an unpaid internship . We value your contribution and will ensure you gain meaningful, resume-worthy experience in return. We accept applications from both students and recent graduates . Show more Show less

If you haven’t built and scaled a 0-1 product to at least 7-figure (USD) ARR and/or been part of a YC (or equivalent startup) founding engineer team we kindly ask that you don't apply for this role. Our client is looking for a hands-on engineer who dreams about LLM solutions, keeps up with the latest AI research for fun, and has previously led technical early-stage startups in a YC batch (or an equivalent high-growth environment). About Us Our client is an innovative startup revolutionizing how businesses operate through AI and automation. With a focus on efficiency and scalability, we are building the future of intelligent workflows. To drive this mission, we are seeking a highly skilled Technical Chief of Staf f. This role is for someone deeply embedded in the startup and AI ecosystem, passionate about building AI-powered products from the ground up and integrating them into real-world applications . Role Overview As the Technical Chief of Staff, you will report directly to the CEO and play a critical role in shaping the company’s technical direction. You will build AI-powered applications end-to-end, ensuring seamless integration with existing business processes. This role requires a blend of hands-on engineering, AI research, and strategic thinking to develop scalable solutions that align with company goals. You will collaborate across departments, identifying pain points and implementing AI-driven automation to drive efficiency and innovation. This is a fully remote position. Key Responsibilities 1. AI Product Development & Execution Design, develop, and deploy AI-native applications integrating LLMs and automation. Build and maintain full-stack applications that leverage AI models for decision-making and workflow optimization. Develop and scale agentic AI workflows that automate complex business processes. Continuously refine AI-driven products to improve efficiency, usability, and impact. 2. Strategic Leadership & Cross-Functional Collaboration Partner with teams across the company to identify business challenges and design AI-driven solutions. Bridge technical execution and strategic decision-making to ensure AI initiatives align with company objectives. Develop data-driven strategies to measure and optimize the effectiveness of AI implementations. 3. AI Research & Scalability Stay engaged with the latest AI advancements, including LLMs, multi-agent systems, and emerging frameworks. Architect and deploy scalable AI infrastructure, ensuring efficiency in high-growth environments. Optimize AI models for performance, accuracy, and real-world application. 4. Industry Engagement & Thought Leadership Apply insights from thought leaders like Paul Graham, A16Z, and Sequoia Capital to inform technical and strategic initiatives. Serve as an advisor to leadership on trends in AI, automation, and product scalability. Contribute to the company’s AI thought leadership through research, whitepapers, or technical discussions. 5. Team Enablement & AI Integration Guide and mentor engineering teams on AI adoption, architecture, and optimization. Promote a culture of AI-driven experimentation and continuous learning. Train internal teams on leveraging AI-assisted coding tools such as GitHub Copilot, Claude, and Replit. Who You Are You have a strong track record of building and deploying AI-powered applications end-to-end. You have worked in high-growth startup environments and understand how to ship AI products at speed. You are a strategic thinker who can apply AI to solve real business challenges. You thrive in cross-functional collaboration, translating technical concepts for product, design, and business teams. You stay ahead of the curve in AI research and actively experiment with new tools and methodologies. Qualifications a. Technical Expertise 5+ years of experience in full-stack engineering or AI-focused software development. Strong proficiency in Python, JavaScript, React, or equivalent languages. Expertise in LLMs, AI models, and tools such as OpenAI, Hugging Face, LangChain, and vector databases. Experience integrating AI models into production environments, including APIs, fine-tuning, and retrieval-augmented generation (RAG). Proven ability to scale AI-powered products while optimizing for performance and usability. Familiarity with AI-assisted coding tools such as GitHub Copilot, Claude, and Replit. b. Startup & Industry KnowledgeExperience successfully building and scaling AI-powered products in early-stage startups. Strong understanding of startup challenges, trends, and growth strategies. Deep familiarity with thought leaders in AI and startups (e.g., A16Z, Paul Graham,Sequoia). c. Soft Skills Strong communication and collaboration abilities. Excellent organizational and project management skills. A growth mindset with a passion for AI-driven innovation. What We Offer The opportunity to build and scale AI-powered products in a fast-moving startup environment. A chance to shape the future of AI-driven automation and digital workforces. A collaborative, high-velocity culture that values experimentation and impact. Fully remote work with flexible arrangements. How to Apply Please submit your resume, portfolio, and a brief cover letter detailing: Your experience with AI, LLMs, and automation workflows. Examples of AI products you’ve built and scaled end-to-end. Your insights into the startup ecosystem and how they inform your approach to AI-driven product development. If you are passionate about building AI-native products and driving innovation in a high-growth startup, we’d love to hear from you! Show more Show less

Role: React Js with Gen Ai We are looking for strong Reactjs and Next js with backend Node exposure. Strong communication with GEN AI experience. We are also looking for someone who are techno-manager and able to handle a team. Required Qualifications 7+ years of professional experience in frontend development with a strong focus on React.js. Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3. Deep understanding of React Hooks, Context API, and component-based architecture. Proven experience integrating with RESTful APIs and/or GraphQL. Demonstrable experience integrating Generative AI components or LLM APIs into web applications (e.g., OpenAI API, Hugging Face Inference API, Vercel AI SDK, LangChain.js). Experience with handling API response streaming (e.g., Server-Sent Events). Strong experience with state management libraries (e.g., Zustand, Jotai, Redux, TanStack Query). Familiarity with modern frontend build pipelines and tools (e.g., Webpack, Vite, Babel, npm/yarn). Experience with testing frameworks (e.g., Jest, React Testing Library). Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Show more Show less

Total - 3 to 5 Yrs of Experience Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech and Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Show more Show less

Position: AI Lead – Generative AI Location : Navi Mumbai (Onsite) Engagement Type : Full-Time Experience Required : 4–6 Years Department : Artificial Intelligence Who We Are LinkCxO – The Exclusive Platform for Senior Leaders & CxOs LinkCxO is a premium, AI-powered platform built exclusively for senior and C-suite professionals. We aggregate high-quality business insights, industry-specific content, senior-level job opportunities, and curated executive events—delivered in one trusted space. Why LinkCxO? 🌐 30,000+ Verified Senior Members across industries 🧠 AI-Aggregated Business Insights from thousands of trusted sources 📅 Executive-Only Events : Conferences, webinars, and leadership roundtables 💼 10,000+ CxO/Senior-Level Jobs , curated and refreshed regularly 🤝 Exclusive Network for hiring, learning, collaboration, and brand visibility The Problem CxOs today are overwhelmed with scattered information, irrelevant events, and fragmented job platforms—none designed with their needs in mind. Our Solution LinkCxO offers a streamlined, AI-led, personalized platform that empowers senior professionals to explore jobs, insights, and events in one curated and verified space. Role Overview We are seeking a visionary and hands-on AI Lead – Generative AI to architect and scale cutting-edge AI solutions across the LinkCxO ecosystem. You’ll lead initiatives involving LLMs , RAG pipelines , multimodal models , and more—shaping how AI drives user engagement, personalization, and discovery. This is a highly collaborative role where you’ll work closely with the Founders , Product , and Engineering teams to embed intelligence into the core of a fast-growing platform designed for India’s senior leadership. Key Responsibilities 🧠 Strategy & Leadership Define and execute the Generative AI roadmap aligned with business goals Build and lead a team of ML engineers, data scientists, and AI researchers Partner with Product, Design, and Tech teams for scalable AI integration 🔧 Technical Execution Develop, fine-tune, and deploy generative AI models (LLMs, Transformers, Diffusion, RAG) Optimize model performance, latency, and cost in production environments Implement MLOps pipelines for training, deployment, monitoring, and iteration 🔬 Research & Innovation Stay updated with cutting-edge developments in generative and multimodal AI Experiment with open-source and proprietary models; contribute to patents/publications Integrate foundation models via APIs (e.g., OpenAI, Hugging Face, Anthropic) or custom setups ✅ Governance & Ethics Ensure AI systems are built with fairness, explainability, and ethical best practices Maintain compliance with data privacy laws and responsible AI principles Required Skills & Qualifications Master’s or Ph.D. in Computer Science, AI/ML, Mathematics, or related discipline Strong understanding of Transformers, GANs, VAEs, Diffusion Models Proficient with PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI APIs Proven experience in training or fine-tuning large-scale LLMs or foundation models Hands-on MLOps experience in model deployment and scaling Strong problem-solving skills and product-oriented mindset Preferred Qualifications Experience with Retrieval-Augmented Generation (RAG) or agent-based systems Familiarity with cloud platforms (AWS, GCP, Azure) and distributed architectures Contributions to open-source projects or AI research communities What We Offer 💡 A high-impact role in a fast-scaling, AI-first platform 🌍 Opportunity to shape how executives experience AI-driven insights and interactions 🧠 Cross-functional collaboration with strategic mentors and domain experts 🚀 Ownership and autonomy in building next-generation AI products from scratch Leadership You’ll Collaborate With 👔 Rajesh Padmanabhan – Chief Mentor Former CHRO at Capgemini, Vedanta & Welspun | UN Awardee for D&I 💡 Gyanesh Kumar – Founder & CEO Ex-CBO at Shine.com | Founder of ExoTalent & LeadersEdge | ISB & IIM Ahmedabad alumnus 🧠 Hema Gupta – Co-founder – CxO Hiring & Engagement 16+ years in executive search with deep domain focus in manufacturing & automotive 📊 Sumit Jha – Advisor – Chief Analytics Officer 18+ years in AI/ML across India, US & Europe | IIT-Kharagpur, IIM Shillong 🎯 Amitabh Kumar – Strategic Advisor & Executive Coach ICF-Certified | 800+ hours coaching | Featured in NDTV, TOI, CNBC Awaaz Show more Show less

Organization Snapshot: Birdeye is the leading all-in-one Experience Marketing platform , trusted by over 100,000+ businesses worldwide to power customer acquisition, engagement, and retention through AI-driven automation and reputation intelligence. From local businesses to global enterprises, Birdeye enables brands to deliver exceptional customer experiences across every digital touchpoint. As we enter our next phase of global scale and product-led growth , AI is no longer an add-on—it’s at the very heart of our innovation strategy . Our future is being built on Large Language Models (LLMs), Generative AI, Conversational AI, and intelligent automation that can personalize and enhance every customer interaction in real time. Job Overview: Birdeye is seeking a Senior Data Scientist – NLP & Generative AI to help reimagine how businesses interact with customers at scale through production-grade, LLM-powered AI systems . If you’re passionate about building autonomous, intelligent, and conversational systems , this role offers the perfect platform to shape the next generation of agentic AI technologies. As part of our core AI/ML team, you'll design, deploy, and optimize end-to-end intelligent systems —spanning LLM fine-tuning , Conversational AI , Natural Language Understanding (NLU) , Retrieval-Augmented Generation (RAG) , and Autonomous Agent frameworks . This is a high-impact IC role ideal for technologists who thrive at the intersection of deep NLP research and scalable engineering . Key Responsibilities: LLM, GenAI & Agentic AI Systems Architect and deploy LLM-based frameworks using GPT, LLaMA, Claude, Mistral, and open-source models. Implement fine-tuning , LoRA , PEFT , instruction tuning , and prompt tuning strategies for production-grade performance. Build autonomous AI agents with tool use , short/long-term memory , planning , and multi-agent orchestration (using LangChain Agents, Semantic Kernel, Haystack, or custom frameworks). Design RAG pipelines with vector databases ( Pinecone , FAISS , Weaviate ) for domain-specific contextualization. Conversational AI & NLP Engineering Build Transformer-based Conversational AI systems for dynamic, goal-oriented dialog—leveraging orchestration tools like LangChain, Rasa, and LLMFlow. Implement NLP solutions for semantic search , NER , summarization , intent detection , text classification , and knowledge extraction . Integrate modern NLP toolkits: SpaCy, BERT/RoBERTa, GloVe, Word2Vec, NLTK , and HuggingFace Transformers . Handle multilingual NLP, contextual embeddings, and dialogue state tracking for real-time systems. Scalable AI/ML Engineering Build and serve models using Python , FastAPI , gRPC , and REST APIs . Containerize applications with Docker , deploy using Kubernetes , and orchestrate with CI/CD workflows. Ensure production-grade reliability, latency optimization, observability, and failover mechanisms. Cloud & MLOps Infrastructure Deploy on AWS SageMaker , Azure ML Studio , or Google Vertex AI , integrating with serverless and auto-scaling services. Own end-to-end MLOps pipelines : model training, versioning, monitoring, and retraining using MLflow , Kubeflow , or TFX . Cross-Functional Collaboration Partner with Product, Engineering, and Design teams to define AI-first experiences. Translate ambiguous business problems into structured ML/AI projects with measurable ROI. Contribute to roadmap planning, POCs, technical whitepapers, and architectural reviews. Technical Skillset Required Programming : Expert in Python , with strong OOP and data structure fundamentals. Frameworks : Proficient in PyTorch , TensorFlow , Hugging Face Transformers , LangChain , OpenAI/Anthropic APIs . NLP/LLM : Strong grasp of Transformer architecture , Attention mechanisms , self-supervised learning , and LLM evaluation techniques . MLOps : Skilled in CI/CD tools, FastAPI , Docker , Kubernetes , and deployment automation on AWS/Azure/GCP . Databases : Hands-on with SQL/NoSQL databases, Vector DBs , and retrieval systems. Tooling : Familiarity with Haystack , Rasa , Semantic Kernel , LangChain Agents , and memory-based orchestration for agents. Applied Research : Experience integrating recent GenAI research (AutoGPT-style agents, Toolformer, etc.) into production systems. Bonus Points Contributions to open-source NLP or LLM projects. Publications in AI/NLP/ML conferences or journals. Experience in Online Reputation Management (ORM) , martech, or CX platforms. Familiarity with reinforcement learning , multi-modal AI , or few-shot learning at scale. Show more Show less

Full Stack Dev 🚀 • Calling Coders Who Conquers 💻 • Skill > Experience • Freshers Welcome 📍 Preferred Location: Kerala Based (Remote-first / Flexible) 🕒 Full-time | Immediate Start | Be Part of Something Big About the Role: We are looking for a passionate and highly capable Full Stack Developer who can take full ownership of developing robust, scalable, and high-performance web and mobile applications. You’ll be joining a startup at its foundation stage and will work closely with the founder and design team. This is not just another job — it’s a core seat in the company’s future, with leadership potential and long-term rewards. What You’ll Do: Develop web, Android, and iOS apps — with PWA as a primary platform Own full backend development using technologies like Node.js, Firebase, PostgreSQL, or similar scalable Handle real-time systems, database architecture, user authentication, and secure payment integrations Implement multi-device responsive UI based on provided Figma or Sketch designs Integrate advanced AI-driven functionalities (priority) Handle geo-location, language switching, and platform performance optimizations Build scalable systems to handle millions of concurrent users Ensure app security, prevent hacks or manipulation, and follow industry best practices Work on game-engine logic and data flows as per project needs Coordinate with future tech teams, eventually leading them as a future CTO Who You Are: A full-stack developer who loves challenges and moves fast Comfortable taking ownership of tech end-to-end Serious, committed, and ready to hustle with the founder Can work independently, but also ready to lead teams when needed You might be a fresher, but if you’re skilled and serious, we’re ready to welcome you Technical Requirements You Must Know: React / React Native / Next.js Firebase or Node.js + Supabase / Express / PostgreSQL REST APIs & Webhooks GitHub + Deployment (Vercel/Render/DigitalOcean) Game logic or engine familiarity (even basic level) OTP, payment, wallet, and authentication integrations PWA and multi-platform optimization AI & ML familiarity using tools like OpenAI API or HuggingFace (preferred) Application Requirements: Submit links to live projects. Applications without project links will not be considered Shortlisted candidates must attend an assessment Final selected candidates will attend a face-to-face meeting before confirmation Only serious and energetic candidates apply. This is a leadership track role Bonus: Passionate about AI and real-time applications Interested in long-term association and startup culture Willing to put heart into something truly disruptive and meaningful How to Apply: Please apply by sending your updated resume to: Email: ooxisixoo@gmail.com Add the Subject: “ Full Stack Developer – [No. of Live Projects] – [Your Full Name] – [Age | Location] ” Note: This is a founding opportunity, not a regular job. If selected, you’ll be joining the company as a co-builder with growth, respect, and future equity. Show more Show less

Job Title: n8n Developer – Workflow Automation for Lead Generation & MarketingType / Location: Full-Time | In-Office | Mysuru Job Summary: We are hiring an n8n Developer to design, build, and maintain automation workflows that power our lead generation and digital marketing operations. n8n is a next-generation open-source workflow automation tool, and this role is ideal for someone with a solid foundation in APIs, logic flows, and marketing tech tools—even if you’ve only recently started working with n8n. If you’re passionate about automating repetitive tasks and connecting systems using smart logic, this is the perfect role for you. Key Responsibilities: Design, develop, and maintain custom n8n workflows to automate digital marketing and lead generation tasks. Integrate tools like Google Sheets , Gmail , LinkedIn , Meta Ads , Webhooks , CRMs , and third-party APIs into seamless automated pipelines. Collaborate with marketing and technical teams to translate manual processes into efficient automated workflows. Manage triggers, conditional logic, loops, error handling, and retries within n8n. Document workflows clearly for future updates, reuse, and scaling. Ensure that automations are optimized for performance, reliability, and API quota management. Required Qualifications: Hands-on experience with n8n or similar automation tools (Zapier, Make, Pipedream, etc.). Strong understanding of REST APIs , webhooks , and JSON-based data flows . Experience with digital marketing tools (e.g., Meta Ads Manager, LinkedIn Campaigns, email platforms). Ability to plan logic-based workflows with decision trees, delays, loops, and parallel executions. Familiarity with using n8n cloud or setting up self-hosted n8n environments. Comfort working with variables , expressions , and error handling in automation. Proficient in reading API documentation and integrating third-party tools. Bonus Skills (Preferred): Basic knowledge of JavaScript , Python , or writing custom code nodes. Experience working with lead funnels , CRM integrations , or AI tools (OpenAI, Claude, etc.) . Familiarity with marketing workflows like lead enrichment, nurturing sequences, and retargeting setups. Knowledge of n8n - https://n8n.io/ Exposure to Google Ads API , Facebook Graph API , or LinkedIn Ads API . Why Join Us? Be part of an AI + automation-first team that’s redefining how digital marketing works. Solve real-world problems with autonomy and creative freedom. Work with modern tools and create automations that scale across industries. Salary: Competitive and based on experience Job Type: Full-time Pay: ₹200,000.00 - ₹400,000.00 per year Benefits: Internet reimbursement Paid sick time Paid time off Location Type: In-person Ability to commute/relocate: Mysuru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Location: Mysuru, Karnataka (Preferred) Work Location: In person

Location : Hauz Khas Delhi Experience : 0-1 years Salary : 15k-25k Working days : 5.5 days(Rotational Sat off & Sun fix off) Job Summary: We are seeking a detail-oriented and creative Prompt Engineer to design, refine, and optimize prompts for large language models (LLMs) like GPT, Claude, or Gemini. As a Prompt Engineer, you will collaborate with product teams, data scientists, and developers to create high-performing, context-aware prompts that deliver consistent and accurate results. Key Responsibilities: Design, test, and iterate on prompts for various AI use cases (chatbots, search, summarization, code generation, etc.) Evaluate model outputs for accuracy, consistency, tone, and bias. Work closely with product managers and engineers to translate business requirements into effective AI behaviors. Build prompt libraries, templates, and frameworks for reuse across products. Fine-tune and structure prompts for specific model types and APIs (e.g., OpenAI, Anthropic, Google PaLM). Develop evaluation metrics and benchmarks for prompt performance. Stay updated on LLM advancements, prompt engineering techniques, and ethical AI practices. Requirements: Bachelor's degree in Computer Science, Linguistics, AI/ML, or a related field (or equivalent experience). Understanding of natural language processing (NLP) and large language models. Strong analytical and critical thinking skills. Excellent command of written English; attention to detail in tone, style, and intent. Hands-on experience with LLM APIs (e.g., OpenAI’s GPT-4, Claude, Gemini). Familiarity with prompt tuning, few-shot and zero-shot learning. Preferred Qualifications: Experience with Python and AI/ML tools. Knowledge of UX writing or technical writing is a plus. Familiarity with vector databases and retrieval-augmented generation (RAG). Experience in deploying AI applications in production. Benefits: Competitive salary Opportunities to work on cutting-edge AI projects Learning budget and access to AI research resources Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹22,000.00 per month Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Experience: AI: 1 year (Preferred) LLM: 1 year (Preferred) Language: English (Preferred) Work Location: In person