4225 Openai Jobs - Page 48

Position - Senior Java Developer Locations - hybrid: chennai, pune, gurgaon(right now they dont have office in gurgaon, for now remote, once they have office, it will be hybrid) Type - 6 months+ contract (on Simpliigence Payroll) Work as a software developer in a small Agile team delivering solutions onsite for customers focussed on migrating their customers’ legacy relational-based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. Position Expectations Be open to adopting new technologies and approaches on projects as they evolve, especially those relating to GenAI advancements. Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects. Participates as a software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB. Follow existing best practice migration playbooks where applicable and be prepared to innovate to fill in gaps with creative solutions to solve challenges on each specific project. Actively participate in sprint grooming, planning, and showcases with ideas and suggestions. Take direction from the technical lead and project manager on projects, raising identified challenges and potential solutions to the team when applicable. Study the current state of each legacy application and the desired target state outlined by the customer and contribute to the planning, design, and solution from getting from source state to target state on each project. Be prepared to change project direction if customer or account team priorities change. Requirements 5 to 7 years’ of experience working as a software developer. Strong proficiency in Java. Strong experience in building applications that interact with relational databases using SQL. Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures. History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control. Nice-to-have Skills Working knowledge of microservices architectures and Domain-Driven Design approaches. Some experience and knowledge of Python. Some experience and knowledge of JavaScript/Node.js. Some experience and knowledge of ORMs like Hibernate or JPA. Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs Practical experience of using MongoDB Skills: orms (hibernate, jpa),agile methodologies,microservices architectures,ci/cd pipelines,mongodb,javascript/node.js,genai technologies (openai api, gpt llms),sql,python,java,enterprise java (j2ee / javaee / spring),git,domain-driven design

Position - Java Developer Location - Chennai, Pune & Gurgaon Type - Contract to hire Work as a software developer in a small Agile team delivering solutions onsite for customers focussed on migrating their customers’ legacy relational-based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. Position Expectations Be open to adopting new technologies and approaches on projects as they evolve, especially those relating to GenAI advancements. Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects. Participates as a software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB. Follow existing best practice migration playbooks where applicable and be prepared to innovate to fill in gaps with creative solutions to solve challenges on each specific project. Actively participate in sprint grooming, planning, and showcases with ideas and suggestions. Take direction from the technical lead and project manager on projects, raising identified challenges and potential solutions to the team when applicable. Study the current state of each legacy application and the desired target state outlined by the customer and contribute to the planning, design, and solution from getting from source state to target state on each project. Be prepared to change project direction if customer or account team priorities change. Requirements Experience : 3 to 5 years’ of experience working as a software developer. Proficiency in Core Java: Strong understanding of object-oriented programming (OOP), data structures, and algorithms. Frameworks: Experience with Spring (including Spring Boot, Spring MVC, Security), and Hibernate. Database Management: Familiarity with SQL and experience with databases like MySQL, PostgreSQL, or Oracle. Version Control: Proficiency with Git. Software Design Patterns: Understanding and application of common design patterns. Problem Solving: Ability to analyze and solve technical problems effectively. Communication and Collaboration: Good communication skills and ability to collaborate with team members. Testing: Experience with unit testing frameworks like JUnit. Mentorship: May be expected to mentor junior developers. Code Quality: Focus on writing clean, efficient, and maintainable code. Continuous Integration/Continuous Deployment (CI/CD): Understanding of CI/CD pipelines and related tools. Nice-to-have Skills Working knowledge of microservices architectures and Domain-Driven Design approaches. Some experience and knowledge of Python. Some experience and knowledge of JavaScript/Node.js. Some experience and knowledge of ORMs like Hibernate or JPA. Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs Practical experience of using MongoDB Skills: junit,postgresql,spring boot,algorithms,oops,oracle,collaboration,spring mvc,git,java,spring,spring security,problem solving,ci/cd,core java,communication,hibernate,data structures,springboot,sql,software design patterns,object-oriented programming (oop),mysql

Job Description We are looking for an experienced AI/ML cum Python Developer with 2+ years of hands-on work in machine learning, Python development, and API integration. The ideal candidate should also have experience building AI agents —smart systems that can plan tasks, make decisions, and work independently using tools like LangChain, AutoGPT, or similar frameworks. You’ll be part of a collaborative team, working on real-world AI projects and helping us build intelligent, scalable solutions. Key Responsibilities: Develop, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop AI agents capable of decision-making and multi-step task execution Write efficient and maintainable Python code for data processing, automation, and backend services. Design and implement REST APIs or backend services for model integration. Handle preprocessing, cleaning, and transformation of large datasets. Evaluate model accuracy and performance, and make necessary optimizations. Collaborate with cross-functional teams including UI/UX, QA, and product managers. Stay updated with the latest trends and advancements in AI/ML. Key Performance Areas (KPAs): Development of AI/ML algorithms and backend services AI agent development and performance Model evaluation, testing, and optimization Seamless deployment and integration of models in production Technical documentation and project support Research and implementation of emerging AI technologies Key Performance Indicators (KPIs): Accuracy and efficiency of AI models delivered Clean, reusable, and well-documented Python code Timely delivery of assigned tasks and milestones Issue resolution and minimal bugs in production Contribution to innovation and internal R&D efforts Requirements: Bachelor’s or Master’s degree in Computer Science, IT, or related field Minimum 2 years of experience in Python and machine learning Hands-on with AI agent tools like LangChain, AutoGPT, OpenAI APIs, Pinecone, etc. Strong foundation in algorithms, data structures, and mathematics Experience with Flask, FastAPI, or Django for API development Good understanding of model evaluation and optimization techniques Familiarity with version control tools like Git Strong communication and team collaboration skills Company Perks 05 Days Working Familiar Environment Flexible Timings Global Clients & Amazing Projects Leave Encashment Health Insurance Employee Engagement Activities Picnic

Position - Java Developer Location - Chennai, Pune & Gurgaon Type - Contract to hire Work as a software developer in a small Agile team delivering solutions onsite for customers focussed on migrating their customers’ legacy relational-based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. Position Expectations Be open to adopting new technologies and approaches on projects as they evolve, especially those relating to GenAI advancements. Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects. Participates as a software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB. Follow existing best practice migration playbooks where applicable and be prepared to innovate to fill in gaps with creative solutions to solve challenges on each specific project. Actively participate in sprint grooming, planning, and showcases with ideas and suggestions. Take direction from the technical lead and project manager on projects, raising identified challenges and potential solutions to the team when applicable. Study the current state of each legacy application and the desired target state outlined by the customer and contribute to the planning, design, and solution from getting from source state to target state on each project. Be prepared to change project direction if customer or account team priorities change. Requirements Experience : 3 to 5 years’ of experience working as a software developer. Proficiency in Core Java: Strong understanding of object-oriented programming (OOP), data structures, and algorithms. Frameworks: Experience with Spring (including Spring Boot, Spring MVC, Security), and Hibernate. Database Management: Familiarity with SQL and experience with databases like MySQL, PostgreSQL, or Oracle. Version Control: Proficiency with Git. Software Design Patterns: Understanding and application of common design patterns. Problem Solving: Ability to analyze and solve technical problems effectively. Communication and Collaboration: Good communication skills and ability to collaborate with team members. Testing: Experience with unit testing frameworks like JUnit. Mentorship: May be expected to mentor junior developers. Code Quality: Focus on writing clean, efficient, and maintainable code. Continuous Integration/Continuous Deployment (CI/CD): Understanding of CI/CD pipelines and related tools. Nice-to-have Skills Working knowledge of microservices architectures and Domain-Driven Design approaches. Some experience and knowledge of Python. Some experience and knowledge of JavaScript/Node.js. Some experience and knowledge of ORMs like Hibernate or JPA. Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs Practical experience of using MongoDB Skills: junit,postgresql,spring boot,algorithms,oops,oracle,collaboration,spring mvc,git,java,spring,spring security,problem solving,ci/cd,core java,communication,hibernate,data structures,springboot,sql,software design patterns,object-oriented programming (oop),mysql

Azure AI Architect Define overall architecture using Azure App Services, Blob Storage, Azure Cognitive Search (or OpenAI integration), and RBAC security Design for scalability, modularity, and secure document handling Plan metadata models, tagging, and content relationships Integrate with identity providers (Azure AD), DevOps tools, and admin workflows Guide the design of AI-powered search and recommendation engineer

Job Title: AI Solutions Developer / Business Process Analyst Department: Technology / Innovation Position Summary We are seeking a highly skilled AI Solutions Developer with strong business process analysis capabilities to join our team. This role is ideal for someone who can bridge the gap between business operations and emerging AI technologies. The ideal candidate will have a keen understanding of business workflows and will be responsible for identifying, designing, and implementing AI-driven improvements across various departments. Key Responsibilities Analyze existing business processes and workflows across departments to identify inefficiencies and opportunities for AI-driven improvement. Collaborate with stakeholders to understand pain points, define project goals, and gather functional requirements. Research and evaluate modern AI technologies (e.g., machine learning, natural language processing, automation tools) and assess their applicability to business challenges. Design AI-enhanced solutions and prototypes that align with business objectives. Lead the development and implementation of selected solutions, either hands-on or by directing a small team of developers. Oversee end-to-end project execution, including deployment, testing, integration, and post-deployment support. Stay current with AI trends, tools, and best practices and proactively bring new ideas to the table. Required Qualifications Proven experience in software development, with exposure to AI/ML technologies. Strong background in business process analysis and solution design. Proficiency in one or more programming languages such as Python, JavaScript (Node.js), or similar. Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face, Brain.js, OpenAI APIs). Experience implementing automation tools (e.g., RPA, chatbots, document processing). Strong project management and leadership skills, with experience guiding small teams. Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders. Preferred Qualifications Knowledge of data engineering or working with unstructured data. Prior experience deploying production-level AI solutions within a business setting. Exposure to tools like Power Automate, Zapier, or other low-code automation platforms.

Job Summary: We are seeking a highly experienced and creative UI Developer with over 8 years of experience in front-end development and a strong understanding of AI technologies. The ideal candidate will be responsible for crafting seamless, intuitive, and scalable user interfaces for complex AI-driven applications. You will work closely with UX designers, AI/ML engineers, product managers, and back-end developers to bring dynamic, intelligent interfaces to life. Key Responsibilities: Design and develop responsive, cross-browser compatible user interfaces for web and mobile applications. Collaborate with AI/ML teams to visualize and integrate intelligent features into the UI. Translate product requirements into interactive and performance-optimized front-end experiences. Build reusable components and front-end libraries for future use. Optimize UI performance, scalability, and maintainability. Work with RESTful APIs, WebSockets, and real-time data visualization tools. Ensure technical feasibility of UI/UX designs and conduct code reviews. Stay updated with the latest front-end development and AI integration trends. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. 8+ years of experience in UI development with advanced proficiency in HTML5, CSS3, JavaScript, TypeScript . Strong experience with React.js , Angular , or Vue.js . Deep understanding of AI concepts , machine learning models , NLP , or computer vision from an integration perspective. Exposure integrating AI/ML APIs, models, or libraries (e.g., TensorFlow.js, OpenAI, Azure Cognitive Services). Hands-on experience with front-end build tools and CI/CD workflows (Webpack, Babel, Git, Jenkins). Strong knowledge of RESTful APIs and working knowledge of GraphQL. Ability to understand complex business requirements and translate them into clean UI/UX designs. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with data visualization libraries (e.g., D3.js, Chart.js). Familiarity with UX principles and user-centered design methodologies. Experience working in Agile/Scrum environments. Knowledge of accessibility and web performance optimization techniques.

CrewAI Engineer1 5–8 years of experience in AI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Experience building and deploying production-ready agent-based solutions. Strong problem-solving skills and ability to translate business requirements into technical implementations.

Job Title: Gen AI Technical Lead/ Architect || Agentic AI || Immediate Joiners Only from Delhi NCR Experience: 8–14 Years Location: Noida/ Faridabad Work Mode: Full-time, Hybrid About the Role We are seeking an exceptional AI Architect with deep expertise in Agentic AI and Generative AI to lead the design, development, and deployment of next-generation autonomous AI systems. This role is pivotal in building LLM-powered agents , integrating memory, tool use, planning, and reasoning capabilities to create intelligent, goal-driven systems. As a technical leader, you will drive end-to-end AI initiatives—from cutting-edge research and architecture design to scalable deployment in cloud environments. Key Responsibilities Agentic AI Design & Implementation Architect and build LLM-based agents capable of autonomous task execution, memory management, tool usage, and multi-step reasoning. Develop modular, goal-oriented agentic systems using tools like LangChain , Auto-GPT , CrewAI , SuperAGI , and OpenAI Function Calling . Design multi-agent ecosystems with collaboration, negotiation, and task delegation capabilities. Integrate long-term and short-term memory (e.g., vector databases, episodic memory) into agents. Generative AI & Model Optimization Develop, fine-tune, and optimize foundation models (LLMs, diffusion models) using TensorFlow , PyTorch , or JAX . Apply model compression, quantization, pruning, and distillation techniques for deployment efficiency. Leverage cloud AI services such as AWS SageMaker , Azure ML , Google Vertex AI for scalable model training and serving. AI Research & Innovation Lead research in Agentic AI, LLM orchestration, and advanced planning strategies (e.g., ReAct, Tree of Thought, Reflexion, Autoformalism). Stay current with SOTA research; contribute to whitepapers, blogs, or top-tier conferences (e.g., NeurIPS, ICML, ICLR). Evaluate new architectures like BDI models , cognitive architectures (e.g., ACT-R, Soar), or neuro-symbolic approaches. Programming & Systems Engineering Strong coding proficiency in Python , CUDA , and TensorRT for model acceleration. Experience with distributed computing frameworks (e.g., Ray , Dask , Apache Spark ) for training large-scale models. Design and implement robust MLOps pipelines with Docker , Kubernetes , MLflow , and CI/CD systems. Required Skills & Qualifications 8–14 years of experience in AI/ML, with at least 2+ years hands-on with Agentic AI systems. Proven experience building, scaling, and deploying agent-based architectures. Strong theoretical foundation in machine learning, deep learning, NLP, and reinforcement learning. Familiarity with cognitive architectures, decision-making, and planning systems. Hands-on with LLM integration and fine-tuning (e.g., OpenAI GPT-4, Claude, LLaMA, Mistral, Gemini). Deep understanding of prompt engineering , function/tool calling , retrieval-augmented generation (RAG) , and memory management in agentic systems. Preferred (Nice to Have) Publications or open-source contributions in Agentic AI or Generative AI. Experience with simulation environments for training/test agents (e.g., OpenAI Gym, Unity ML-Agents). Knowledge of safety, ethics, and alignment in autonomous AI systems. About Damco: We are a global technology company with more than two decades of core IT experience. Our differentiators are technological prowess with unwavering back-end support on a wide range of technologies and industry-leading platforms. At Damco, we take pride in building innovative, efficient, and robust IT solutions for our clients. We match the client’s business goals with our technology expertise and immaculate execution capabilities to solve issues that matter to the end-user. Damco has developed hundreds of products and applications, redefined countless processes, built numerous technology teams and systems, and delivered significant financial results to customers from diverse verticals. We believe in empowering our people to perform and grow by offering opportunities, learning, and inspiration—to ‘act and accomplish’. If you are a self-starter looking for an open and collaborative work culture to excel in career, we are the place for you. Here is what you can expect from our work-culture.

Job Title: Python AI Developer Location: [On-site] Experience Required: Minimum 1 year Job Overview We are looking for a highly motivated and skilled Python AI Developer who has hands-on experience in building AI-driven applications, particularly using RAG (Retrieval-Augmented Generation) frameworks, LLMs (Large Language Models) , and modern AI agentic systems. The ideal candidate should have practical experience with frameworks like Ollama, LangChain, or similar , and a solid understanding of AI Agents and Agentic Architectures . Key Responsibilities Design, develop, and deploy AI-powered solutions leveraging RAG pipelines and LLMs . Work with Ollama, LangChain , or similar frameworks to build intelligent conversational agents. Implement and optimize AI Agent and Agentic Agent architectures for various projects. Integrate AI models with APIs, databases, and knowledge bases to build scalable solutions. Collaborate with cross-functional teams to translate business requirements into technical implementations. Write clean, modular, and well-documented Python code . Perform research and prototyping of new AI technologies to enhance current solutions. Required Skills & Experience Minimum 1 year of experience as an AI/ML or Python Developer. Strong proficiency in Python and libraries like FastAPI, Flask, or Django. Hands-on experience with RAG architectures and LLMs (OpenAI, LLaMA, Falcon, etc.). Experience with Ollama, LangChain, or other AI frameworks . Knowledge of AI Agents and Agentic Agent systems (e.g., Auto-GPT, BabyAGI, CrewAI). Familiarity with vector databases (Pinecone, FAISS, Weaviate, Milvus). Good understanding of NLP pipelines, embeddings, and model fine-tuning. Experience with APIs, cloud services (AWS/GCP/Azure), and containerization (Docker). Problem-solving mindset and ability to work independently on AI projects. Preferred Qualifications (Nice to Have) Prior contributions to open-source AI agentic frameworks. Knowledge of advanced prompt engineering techniques. Exposure to RAG-enhanced chatbots and document Q&A systems. Understanding of MLOps and model deployment pipelines. What We Offer Competitive salary based on skills and experience. Opportunity to work on cutting-edge AI projects with RAG and LLM integrations. A collaborative, innovation-driven environment with career growth potential. Flexible working hours and remote-friendly culture. Job Type: Full-time Pay: ₹16,480.46 - ₹68,391.47 per month Experience: Python: 1 year (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

We are looking for a highly motivated GenAI Engineer with strong hands-on experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and production-ready AI applications. You’ll help design, build, and extend digital products and creative applications that leverage the latest in LLM technologies. You will play a lead role in product development & offering AI services to clients, client onboarding, and delivery of cutting-edge AI solutions, working with a range of modern AI tools, cloud services, and frameworks. Experience: 2 + Years Location: Mohali, Punjab Work Mode: On-site Timings: 10:00 AM – 7:00 PM (Day Shift) Interview Mode: Face-to-Face ( On-Site) Contact: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) How to Apply: If you're passionate about SEO and eager to work in a dynamic and innovative team, we want to hear from you! Send your updated resume to hr@webtunix.com Key Responsibilities: Design and implement generative AI solutions using large language models (LLMs), natural language processing (NLP), and computer vision. Develop, enhance, and scale digital products leveraging LLMs at their core. Lead product development and operations teams to implement GenAI-based solutions. Design and manage client onboarding, rollout, and adoption strategies. Deliver and maintain enhancements based on client-specific needs. Build and maintain RAG pipelines and LLM-based workflows for enterprise applications. Manage LLMOps processes across the entire AI lifecycle (prompt design, fine-tuning, evaluation). Work with cloud-based GenAI platforms (primarily Azure OpenAI, but also Google, AWS, etc.). Implement API integrations, orchestration, and workflow automation. Evaluate, fine-tune, and monitor performance of LLM outputs using observability tools. Required Qualifications: Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field — or equivalent hands-on experience. Minimum 2 years of hands-on experience in software development or applied machine learning. Proficiency in Azure AI services, including: Azure OpenAI (GPT-4, Codex, etc.) Azure Cognitive Services Azure Machine Learning for model development and deployment Proven experience with LLM APIs (OpenAI, Azure OpenAI, Gemini, Claude, etc.). Solid hands-on experience in building and deploying RAG pipelines. Proficiency in Python and strong knowledge of Python ecosystems and libraries. Familiarity with core GenAI frameworks: LangChain, LangGraph, LiteLLM, LlamaIndex, etc. Experience with vector databases: FAISS, Milvus, Azure AI Search, AWS Kendra, etc. Practical knowledge of embeddings, model registries (e.g., Hugging Face), and LLM APIs. Experience in prompt engineering, tool/function calling, and structured outputs (Pydantic/JSON Schema). Exposure to LLM observability tools: LangSmith, LangFuse, Opik, etc. Strong Git, API, and cloud platform (AWS, GCP, Azure) experience. Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Schedule: Day shift Monday to Friday Experience: Gen AI Engineer: 2 years (Required) Work Location: In person

Job Title: AI Generalist Reports to: CEO Location: Coimbatore Employment Type: Full-time About Vallaham Vallaham is a multi-industry business group with ventures in digital marketing (Nool Media), travel (Luxvel), construction (Vayil), and food services (Saptingala). We embrace innovation and strive to be lean, fast-moving, and people-centric. Role Overview We are looking for an AI Generalist who is a proactive problem solver with a passion for experimentation and automation. In this role, you will work closely with leadership and operations teams across all our entities to identify repetitive or complex business challenges and implement AI-powered solutions. Key Responsibilities Collaborate with each business unit to understand operational pain points and improvement opportunities Prototype and deploy lightweight AI or automation solutions using tools like ChatGPT, Claude, Make, Zapier, Notion, etc. Build and maintain prompt templates, chatbots, or AI assistants tailored to entity-specific use cases Train internal teams to use AI tools effectively and responsibly Analyze workflows and suggest process optimization through AI, APIs, or no-code tools Stay updated on emerging AI trends and tools, and assess their applicability to our business Track ROI and adoption of implemented solutions Key Qualities We’re Looking For Curious and creative thinker with strong initiative Capable of context-switching across different industries and workflows Hands-on mindset with a rapid prototyping approach Effective communicator with both technical and non-technical teams Preferred Qualifications Bachelor's degree in Engineering, Computer Science, Business, or related fields Experience with AI tools (OpenAI, Google Gemini, Claude, etc.) and no-code automation platforms Prior exposure to marketing, travel, construction, or F&B industries is a plus Comfort with data (e.g., spreadsheets, dashboards, integrations) Why Join Us? Opportunity to work across diverse industries and directly impact real business operations A culture that encourages experimentation, fast learning, and autonomy Exposure to leadership and strategic decision-making How to Apply: Please send your resume, portfolio (if applicable), and a brief cover letter explaining why you're a great fit for the role to hr@vallaham.com or 9585811433 Job Types: Full-time, Permanent, Fresher Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Food provided Schedule: Day shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Gandhipuram, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Experience: Machine learning: 2 years (Required) AI generalist : 2 years (Required) Work Location: In person

Take your career to new heights with Loopio! 🚀✨ Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam. We are on the hunt for a Staff Software Developer who thrives on solving complex challenges and is driven by curiosity. If you're passionate about building scalable, high-impact solutions and love collaborating across disciplines, this is your chance to make your mark. You'll join a dynamic team of Engineers, Product Managers, and Designers to architect and deliver cutting-edge features that power a platform used by some of the world’s leading organisations. At Loopio, we value clean code, continuous improvement, and knowledge sharing. From shaping technical direction to mentoring teammates, you’ll play a key role in scaling our systems and evolving our product. We’re deeply collaborative — whether it’s pair programming, technical design reviews, or whiteboarding ideas, we believe the best solutions are built together. If you’re excited by elegant architecture, thoughtful product development, and leaving things better than you found them — let’s build the future together. This role requires close collaboration with teams across Canada, the UK, and India. To accommodate the time zone differences, you will be expected to work from 11 am to 7:30 pm IST. What You’ll Be Doing Leading and rapidly building end-to-end features from scratch for Loopio’s web platform Driving architectural decisions and system-level thinking—influencing design and execution across teams. Proactively build technology to prevent bugs as they come up, because you can’t stand crappy software Interact with and gather detailed feedback from our customers because you understand that creating a user-centric experience comes first Collaborate closely with our Product Managers and Product Designers in an agile environment to bring features to life and iterate on them based on our customers' feedback Mentor and coach others, providing technical guidance and helping build an environment of knowledge-sharing and encouraged feedback Contributing to Loopio’s AI roadmap by helping evaluate third-party models, optimising LLM integration patterns, and defining technical guidelines for AI-powered features. Comfortable leading technical design discussions and facilitating technical decision making. Experience as a technical lead is a bonus. ⚒️ Loopio Engineering Technology Stack React Elasticsearch Node js PHP Python MYSQL Flask Docker Databricks Amazon Webservices Chef Terraform What You’ll Bring To The Team 10+ years of professional software development experience Proven track record of designing and delivering complex software systems at scale. Experience leading architectural discussions, influencing cross-team technical decisions, and driving consensus in ambiguous situations. Strong experience in backend/API background of either PHP, Python or Java Experience in frontend development, with a solid understanding of React and JavaScript Strong understanding of database design and RDBMS such as MySQL. Proficient in using and designing RESTful APIs Mentorship to other engineers through coaching, design, and code reviews. Prior experience as a technical lead is an asset Exposure to AI technologies, particularly around LLMs (e.g., OpenAI, Claude, etc.), embeddings, or natural language processing. While deep ML expertise is not required, familiarity with integrating or working with modern AI APIs is highly valuable. Comfortable guiding technical design discussions and facilitating technical decision making A growing passion for driving processes and improving software development productivity for your team Experience designing and consuming RESTful APIs and integrating with third-party systems. Experience in the following is a plus: Typescript, AWS, Cypress, Elasticsearch, Prior work in building or integrating intelligent features, such as semantic search, RAG and integration with third-party apps Where You’ll Work 📍 Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world where we hire from. Our employees (or Loopers, as we call ourselves!) live and work in 🇨🇦 Canada (British Columbia and Ontario), 🇬🇧 London, and 🇮🇳 India (specifically in Gujarat, Maharashtra, and Bengaluru). Our India/UK hub employees work according to the business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration. You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work 🙇🏾 during the workday We encourage asynchronous collaboration to effectively work as a global #OneTeam! Why You’ll ❤️ Working at Loopio Your manager supports your development by providing ongoing feedback and regular 1-on-1s; we leverage Lattice for our 1:1s and performance conversations You will have the opportunity to elevate 🪄 your craft and the opportunity to explore your creativity with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact. We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day 1️⃣ with Loopio. We’ll set you up to work remotely with a MacBook laptop 🍏, a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up. You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment. Participate in 🎤 townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam! Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round. You’ll be a part of an award-winning workplace 🏆with an opportunity to make a big impact on the business. Questioning your qualifications? Read this ‼️ Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups. Whether or not your experience ✅ checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table. AI in Recruitment 👩🏻‍💻 At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team ( work@loopio.com ) should you require accommodations at any point during our virtual interview processes.

INFOC is looking for a motivated and curious Associate Data & AI Engineer to support the development of AI-enabled analytics solutions using Microsoft Fabric , Power BI , and Azure Data Services . You will collaborate with senior architects and consultants on real-world transformation projects, helping customers gain actionable insights through modern data platforms. This role is ideal for early-career professionals eager to work on cutting-edge Microsoft technologies , develop their skills, and make a real business impact. 🧠 Key Responsibilities Support the development of data pipelines, dataflows, and transformations using Microsoft Fabric and Azure tools. Assist in building Power BI dashboards and semantic models based on customer reporting needs. Collaborate with solution architects to prepare, clean, and model data from various sources including ERP, CRM, and external systems. Work on Proof-of-Concepts (PoCs) involving AI integrations , such as Azure OpenAI and Azure ML Studio. Conduct data validation, testing, and performance tuning of queries and models. Document technical processes, solution architecture, and deployment steps. Stay updated on Microsoft Fabric and AI innovations, contributing to internal knowledge sharing. ✅ Required Skills & Experience 2–5 years of experience in data analytics, engineering, or AI solution development . Hands-on experience with Power BI (datasets, visuals, DAX) and basic Azure Data tools (Data Factory, Data Lake). Exposure to or willingness to learn Microsoft Fabric , Lakehouses, and AI workloads. Strong understanding of SQL , data modeling, and visualization principles. Basic experience with Python or Power Query (M) is a plus. Good analytical and communication skills, with a problem-solving mindset. Microsoft certification (PL-300, DP-203, or similar) is a plus. 🌟 What You’ll Gain at INFOC Real-world project experience in AI, Data Engineering, and Business Intelligence Mentorship from senior Microsoft-certified consultants Opportunity to grow into AI Solution Architect or Power BI Specialist Access to certifications and structured learning paths Collaborative and innovation-driven culture 📩 Take the first step in your AI & analytics career with INFOC. Apply now: careers@infoc.com Explore more: www.infoc.com

Take your career to new heights with Loopio! Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam. We are on the hunt for a Staff Software Developer who thrives on solving complex challenges and is driven by curiosity. If you're passionate about building scalable, high-impact solutions and love collaborating across disciplines, this is your chance to make your mark. You'll join a dynamic team of Engineers, Product Managers, and Designers to architect and deliver cutting-edge features that power a platform used by some of the world’s leading organisations. At Loopio, we value clean code, continuous improvement, and knowledge sharing. From shaping technical direction to mentoring teammates, you’ll play a key role in scaling our systems and evolving our product. We’re deeply collaborative — whether it’s pair programming, technical design reviews, or whiteboarding ideas, we believe the best solutions are built together. If you’re excited by elegant architecture, thoughtful product development, and leaving things better than you found them — let’s build the future together. This role requires close collaboration with teams across Canada, the UK, and India. To accommodate the time zone differences, you will be expected to work from 11 am to 7:30 pm IST. What You’ll Be Doing Leading and rapidly building end-to-end features from scratch for Loopio’s web platform Driving architectural decisions and system-level thinking—influencing design and execution across teams. Proactively build technology to prevent bugs as they come up, because you can’t stand crappy software Interact with and gather detailed feedback from our customers because you understand that creating a user-centric experience comes first Collaborate closely with our Product Managers and Product Designers in an agile environment to bring features to life and iterate on them based on our customers' feedback Mentor and coach others, providing technical guidance and helping build an environment of knowledge-sharing and encouraged feedback Contributing to Loopio’s AI roadmap by helping evaluate third-party models, optimising LLM integration patterns, and defining technical guidelines for AI-powered features. Comfortable leading technical design discussions and facilitating technical decision making. Experience as a technical lead is a bonus. Loopio Engineering Technology Stack: React Elasticsearch Node js PHP Python MYSQL Flask Docker Databricks Amazon Webservices Chef Terraform What You’ll Bring to the Team 10+ years of professional software development experience Proven track record of designing and delivering complex software systems at scale. Experience leading architectural discussions, influencing cross-team technical decisions, and driving consensus in ambiguous situations. Strong experience in backend/API background of either PHP, Python or Java Experience in frontend development, with a solid understanding of React and JavaScript Strong understanding of database design and RDBMS such as MySQL. Proficient in using and designing RESTful APIs Mentorship to other engineers through coaching, design, and code reviews. Prior experience as a technical lead is an asset Exposure to AI technologies, particularly around LLMs (e.g., OpenAI, Claude, etc.), embeddings, or natural language processing. While deep ML expertise is not required, familiarity with integrating or working with modern AI APIs is highly valuable. Comfortable guiding technical design discussions and facilitating technical decision making A growing passion for driving processes and improving software development productivity for your team Experience designing and consuming RESTful APIs and integrating with third-party systems. Experience in the following is a plus: Typescript, AWS, Cypress, Elasticsearch, Prior work in building or integrating intelligent features, such as semantic search, RAG and integration with third-party apps Where You’ll Work Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world where we hire from. Our employees (or Loopers, as we call ourselves!) live and work in Canada (British Columbia and Ontario), London, and India (specifically in Gujarat, Maharashtra, and Bengaluru). Our India/UK hub employees work according to the business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration. You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work during the workday We encourage asynchronous collaboration to effectively work as a global #OneTeam! Why You’ll Working at Loopio Your manager supports your development by providing ongoing feedback and regular 1-on-1s; we leverage Lattice for our 1:1s and performance conversations You will have the opportunity to elevate your craft and the opportunity to explore your creativity with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact. We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day with Loopio. We’ll set you up to work remotely with a MacBook laptop , a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up. You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment. Participate in townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam! Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round. You’ll be a part of an award-winning workplace with an opportunity to make a big impact on the business. Questioning your qualifications? Read this Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups. Whether or not your experience checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table. AI in Recruitment At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team ( work@loopio.com ) should you require accommodations at any point during our virtual interview processes.

Take your career to new heights with Loopio! Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam. We are on the hunt for a Staff Software Developer who thrives on solving complex challenges and is driven by curiosity. If you're passionate about building scalable, high-impact solutions and love collaborating across disciplines, this is your chance to make your mark. You'll join a dynamic team of Engineers, Product Managers, and Designers to architect and deliver cutting-edge features that power a platform used by some of the world’s leading organisations. At Loopio, we value clean code, continuous improvement, and knowledge sharing. From shaping technical direction to mentoring teammates, you’ll play a key role in scaling our systems and evolving our product. We’re deeply collaborative — whether it’s pair programming, technical design reviews, or whiteboarding ideas, we believe the best solutions are built together. If you’re excited by elegant architecture, thoughtful product development, and leaving things better than you found them — let’s build the future together. This role requires close collaboration with teams across Canada, the UK, and India. To accommodate the time zone differences, you will be expected to work from 11 am to 7:30 pm IST. What You’ll Be Doing Leading and rapidly building end-to-end features from scratch for Loopio’s web platform Driving architectural decisions and system-level thinking—influencing design and execution across teams. Proactively build technology to prevent bugs as they come up, because you can’t stand crappy software Interact with and gather detailed feedback from our customers because you understand that creating a user-centric experience comes first Collaborate closely with our Product Managers and Product Designers in an agile environment to bring features to life and iterate on them based on our customers' feedback Mentor and coach others, providing technical guidance and helping build an environment of knowledge-sharing and encouraged feedback Contributing to Loopio’s AI roadmap by helping evaluate third-party models, optimising LLM integration patterns, and defining technical guidelines for AI-powered features. Comfortable leading technical design discussions and facilitating technical decision making. Experience as a technical lead is a bonus. Loopio Engineering Technology Stack: React Elasticsearch Node js PHP Python MYSQL Flask Docker Databricks Amazon Webservices Chef Terraform What You’ll Bring to the Team 10+ years of professional software development experience Proven track record of designing and delivering complex software systems at scale. Experience leading architectural discussions, influencing cross-team technical decisions, and driving consensus in ambiguous situations. Strong experience in backend/API background of either PHP, Python or Java Experience in frontend development, with a solid understanding of React and JavaScript Strong understanding of database design and RDBMS such as MySQL. Proficient in using and designing RESTful APIs Mentorship to other engineers through coaching, design, and code reviews. Prior experience as a technical lead is an asset Exposure to AI technologies, particularly around LLMs (e.g., OpenAI, Claude, etc.), embeddings, or natural language processing. While deep ML expertise is not required, familiarity with integrating or working with modern AI APIs is highly valuable. Comfortable guiding technical design discussions and facilitating technical decision making A growing passion for driving processes and improving software development productivity for your team Experience designing and consuming RESTful APIs and integrating with third-party systems. Experience in the following is a plus: Typescript, AWS, Cypress, Elasticsearch, Prior work in building or integrating intelligent features, such as semantic search, RAG and integration with third-party apps Where You’ll Work Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world where we hire from. Our employees (or Loopers, as we call ourselves!) live and work in Canada (British Columbia and Ontario), London, and India (specifically in Gujarat, Maharashtra, and Bengaluru). Our India/UK hub employees work according to the business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration. You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work during the workday We encourage asynchronous collaboration to effectively work as a global #OneTeam! Why You’ll Working at Loopio Your manager supports your development by providing ongoing feedback and regular 1-on-1s; we leverage Lattice for our 1:1s and performance conversations You will have the opportunity to elevate your craft and the opportunity to explore your creativity with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact. We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day with Loopio. We’ll set you up to work remotely with a MacBook laptop , a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up. You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment. Participate in townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam! Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round. You’ll be a part of an award-winning workplace with an opportunity to make a big impact on the business. Questioning your qualifications? Read this Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups. Whether or not your experience checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table. AI in Recruitment At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team ( work@loopio.com ) should you require accommodations at any point during our virtual interview processes.

Courier / Logistics Full-Time Job ID: DGC00935 Chennai, Tamil Nadu 3-8 Yrs ₹02 - ₹06 Yearly Job description Key Responsibilities: 1. Design, develop, and maintain backend systems using .NET Framework and .NET Core (C#, Web API, MVC) for enterprise-grade applications. 2. Develop, integrate, and consume secure and efficient RESTful APIs. 3. Collaborate on AI feature integration, such as implementing machine learning models, using AI frameworks or APIs, and optimizing inference workflows. 4. Work with SQL Server and other relational databases for data modeling, complex queries, and performance tuning. 5. Support UI integration using AngularJS and Angular; contribute to responsive and interactive web components. 6. Participate in the full software development lifecycle including requirements gathering, design, coding, testing, deployment, and support. 7. Create and maintain comprehensive technical documentation, including AI model usage and API endpoints. 8. Engage in Agile practices: attend stand-ups, contribute to sprint planning, reviews, and retrospectives. 9. Identify and resolve application issues and production bugs. Propose improvements for system architecture, performance, and security. Qualifications: 1. Minimum 3+ years of hands-on experience in backend development using .NET technologies (C#, Web API, MVC). 2. Solid working knowledge of AngularJS and Angular for frontend integration. 3. Proficiency in JavaScript, HTML, CSS, and jQuery for UI tasks. 4. Strong grasp of Object-Oriented Programming (OOP), design patterns, and service-oriented architecture (SOA). 5. Practical knowledge or experience in AI/ML conceptsthis includes working with AI models, APIs (e.g., OpenAI, TensorFlow, Azure Cognitive Services), or machine learning workflows. 6. Experience with SQL Server, including complex queries, stored procedures, and optimization techniques. 7. Familiarity with Agile development methodologies and version control systems like Git. 8. Strong analytical, problem-solving, and debugging skills. 9. Excellent communication skills and a collaborative mindset. 10. Self-driven, adaptable, and capable of managing tasks in a dynamic environment.

Job Title: VP-Digital Expert Support Lead Experience : 12 + Years Location : Pune Mandatory-Should have a stable track record Suitable candidate shall be notified the same day Position Overview The Digital Expert Support Lead is a senior-level leadership role responsible for ensuring the resilience, scalability, and enterprise-grade supportability of AI-powered expert systems deployed across key domains like Wholesale Banking, Customer Onboarding, Payments, and Cash Management . This role requires technical depth, process rigor, stakeholder fluency , and the ability to lead cross-functional squads that ensure seamless operational performance of GenAI and digital expert agents in production environments. The candidate will work closely with Engineering, Product, AI/ML, SRE, DevOps, and Compliance teams to drive operational excellence and shape the next generation of support standards for AI-driven enterprise systems. Role-Level Expectations Functionally accountable for all post-deployment support and performance assurance of digital expert systems. Operates at L3+ support level , enabling L1/L2 teams through proactive observability, automation, and runbook design. Leads stability engineering squads , AI support specialists, and DevOps collaborators across multiple business units. Acts as the bridge between operations and engineering , ensuring technical fixes feed into product backlog effectively. Supports continuous improvement through incident intelligence, root cause reporting, and architecture hardening . Sets the support governance framework (SLAs/OLAs, monitoring KPIs, downtime classification, recovery playbooks). Position Responsibilities Operational Leadership & Stability Engineering Own the production health and lifecycle support of all digital expert systems across onboarding, payments, and cash management. Build and govern the AI Support Control Center to track usage patterns, failure alerts, and escalation workflows. Define and enforce SLAs/OLAs for LLMs, GenAI endpoints, NLP components, and associated microservices. Establish and maintain observability stacks (Grafana, ELK, Prometheus, Datadog) integrated with model behavior. Lead major incident response and drive cross-functional war rooms for critical recovery. Ensure AI pipeline resilience through fallback logic, circuit breakers, and context caching. Review and fine-tune inference flows, timeout parameters, latency thresholds, and token usage limits. Engineering Collaboration & Enhancements Drive code-level hotfixes or patches in coordination with Dev, QA, and Cloud Ops. Implement automation scripts for diagnosis, log capture, reprocessing, and health validation. Maintain well-structured GitOps pipelines for support-related patches, rollback plans, and enhancement sprints. Coordinate enhancement requests based on operational analytics and feedback loops. Champion enterprise integration and alignment with Core Banking, ERP, H2H, and transaction processing systems. Governance, Planning & People Leadership Build and mentor a high-caliber AI Support Squad – support engineers, SREs, and automation leads. Define and publish support KPIs , operational dashboards, and quarterly stability scorecards. Present production health reports to business, engineering, and executive leadership. Define runbooks, response playbooks, knowledge base entries, and onboarding plans for newer AI support use cases. Manage relationships with AI platform vendors, cloud ops partners, and application owners. Must-Have Skills & Experience 12+ years of software engineering, platform reliability, or AI systems management experience. Proven track record of leading support and platform operations for AI/ML/GenAI-powered systems . Strong experience with cloud-native platforms (Azure/AWS), Kubernetes , and containerized observability . Deep expertise in Python and/or Java for production debugging and script/tooling development. Proficient in monitoring, logging, tracing, and alerts using enterprise tools (Grafana, ELK, Datadog). Familiarity with token economics , prompt tuning, inference throttling, and GenAI usage policies. Experience working with distributed systems, banking APIs, and integration with Core/ERP systems . Strong understanding of incident management frameworks (ITIL) and ability to drive postmortem discipline . Excellent stakeholder management, cross-functional coordination, and communication skills. Demonstrated ability to mentor senior ICs and influence product and platform priorities. Nice-to-Haves Exposure to enterprise AI platforms like OpenAI, Azure OpenAI, Anthropic, or Cohere. Experience supporting multi-tenant AI applications with business-driven SLAs. Hands-on experience integrating with compliance and risk monitoring platforms. Familiarity with automated root cause inference or anomaly detection tooling. Past participation in enterprise architecture councils or platform reliability forums

Solution Architect – GenAI (Hands-On) Location : Gurgaon Commitment : Full-time | Future Equity + Profit share Company : OneOrg.ai – Superbrain of Modern Organizations by OriginBluy The Opportunity OneOrg.ai is on a mission to build sector-specific GenAI copilots that solve real business problems for Sales, HR, Compliance, and Leadership. Our product isn't just chat — it's contextual intelligence trained on internal company knowledge, powered by a robust RAG pipeline, and delivered with consumer-grade UX. We’re now hiring a hands-on Solution Architect who can roll up their sleeves, lead technical implementation across sectors, and build GenAI models from the ground up. Your Role This is not a manager role — it's a builder role with strategic impact . You’ll: Architect and deploy scalable GenAI solutions using RAG + LLMs Build custom LLM-based pipelines, fine-tune models on proprietary datasets Design and implement embedding strategies, chunking logic, and retrieval systems Own end-to-end delivery — from ingestion → indexing → query resolution → output formatting Evaluate and integrate open-source models (Mistral, LLaMA, K2, etc.) where relevant Benchmark OpenAI vs. open models vs. custom-trained ones Write clean, modular code in Python, and guide integration with backend systems Collaborate closely with our CTO, sector heads, and product teams Drive POCs for different verticals (starting with Pharma, BFSI, FMCG) Ideal Profile 5–7 years of experience in software development or ML engineering 1+ year hands-on experience with GenAI or LLM-based systems Deep understanding of vector stores (FAISS, Pinecone), embeddings, LangChain, Transformers Experience training or fine-tuning models (Hugging Face, LoRA, RAG, etc.) Strong with Python, APIs, system design Proven ability to go from whiteboard to working prototype quickly Exposure to MLOps or model monitoring is a bonus Comfortable working in a fast-paced startup environment Compensation Fixed salary + Profit Share + Equity in future rounds Competitive base (post-funding) An opportunity to create something truly new Why OneOrg.ai You're not just implementing — you're inventing You’ll help shape the future of how organizations use GenAI daily Fast-moving, founder-led team with product traction and real use cases Opportunity to lead engineering direction as we scale to 10+ sectors

Required Skills & Qualifications : - Bachelors or Masters degree in Computer Science, Machine Learning, or related field. - 2+ years of experience in building and deploying ML/AI models in production. - Strong hands-on experience with generative AI frameworks (e.g., LangChain, Hugging Face, OpenAI, Rasa, or similar). - Solid understanding of transformer architectures, embeddings, and LLM fine-tuning techniques. - Proficiency in Python and frameworks like PyTorch or TensorFlow. - Experience with voice-based AI: ASR, TTS engines (e.g., Google, ElevenLabs, Coqui), and voice orchestration tools. - Familiarity with vector databases, prompt engineering, and real-time inference techniques. - Exposure to APIs/integrations for communication platforms: WhatsApp Cloud API, Meta APIs, Instagram DM API, etc. Job Type: Full-time Pay: ₹355,466.18 - ₹1,582,506.93 per year Schedule: Day shift

Experience: 5+ Years Employment Type: Full-Time About the Role: We are looking for a highly skilled Data Scientist with a strong background in Machine Learning , Statistical Modeling , and hands-on experience working with Generative AI technologies. The ideal candidate will have deep technical expertise in agentic AI systems , RAG (Retrieval-Augmented Generation) architectures , and the ability to implement, fine-tune, and evaluate large language models such as OpenAI, LLaMA , or Cortex . This is a high-impact role where you'll be building intelligent, scalable, and context-aware AI solutions that solve real-world business problems. Key Responsibilities: Design and implement agentic AI systems that leverage memory, planning, and tool-use capabilities. Develop and deploy RAG-based architectures integrating internal data sources with LLMs to enable knowledge-grounded responses. Apply advanced statistical modeling and machine learning techniques to extract insights and predict outcomes from large datasets. Integrate and fine-tune Generative AI models like OpenAI (GPT), LLaMA, or Cortex for custom use cases. Build intelligent pipelines using Python for data preprocessing, model training, and evaluation. Collaborate cross-functionally with product, engineering, and business teams to drive AI/ML adoption. Ensure scalability, accuracy, and ethical usage of AI models in production environments. Required Skills and Qualifications: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field. 5+ years of experience in ML/AI engineering or data science roles. Strong experience with Python , NumPy, Pandas, Scikit-learn, and ML libraries like TensorFlow or PyTorch. Hands-on with Gen AI platforms such as OpenAI , LLaMA , Anthropic , or Cortex AI . Deep understanding of RAG pipelines , vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding techniques. Experience working on agentic AI frameworks like LangChain, AutoGPT, or OpenAgents. Solid grounding in statistical analysis , A/B testing, and predictive modeling. Familiarity with prompt engineering, fine-tuning, and evaluation metrics for LLMs. Good understanding of data privacy, model bias, and responsible AI practices. Nice to Have: Experience with tools like LangChain , Haystack , or LLM orchestration frameworks . Exposure to cloud platforms (AWS, GCP, Azure) for deploying ML models. Experience working with MLOps pipelines for productionalizing AI solutions. At TulaPi (pronounced tuu-la-pie), we’re building more than just a company – we’re crafting a movement. A movement that’s redefining what’s possible with data, machine learning, and AI, all powered by Snowflake's industry-leading platform. Think of us as the brainy rebels of the data world, bold enough to dream big and skilled enough to make it happen. We’re not just here to follow trends – we’re here to set them. From solving the most complex data challenges to building next-gen ML/AI solutions, we’re going to chart new territory every day. This is where the best talent comes to push boundaries, flex creative muscles, and make a real impact. At Tula Pi, you won’t just be working with cutting-edge tools and technologies – you’ll be shaping the future of what they can do. Whether you’re an architect of the cloud, an engineer with a knack for unlocking AI’s potential, or a strategist ready to disrupt the status quo, we’re looking for trailblazers like you to join our journey. Why Join Us? Big Challenges, Bigger Impact: Work on transformative projects that push the limits of what’s possible in ML/AI. Smart is the Standard: Collaborate with some of the brightest minds in the industry. Global Vision, Local Vibes: Be part of a team that’s global in its ambition but intimate in its culture. ️ Tools of Tomorrow: Gain access to the most advanced data and AI platforms, including Snowflake, and make them dance to your tune. Your Playground: A startup environment where your ideas, creativity, and innovation won’t just be welcomed – they’ll be celebrated. Get the chance to work closely with CEO and CTO with exposure to strategic decision-making. Tulapi is more than a workplace; it’s a destination for those who want their work to matter, their ideas to fly, and their careers to soar. If you're ready to work hard, dream bigger, and redefine the future of ML/AI, welcome home. Website: Tulapi.ai LinkedIn: https://www.linkedin.com/company/tulapi-ai/ Data fortune Software Solution is a 12+ year old company Based out of Pune . Our Head Office is in Atlanta , Georgia , US . we are around 150+ We work with US clients . Enterprise Data Management:-> Data Engineer, Snowflake, Azure, Power Bi , Tableau, SQL Server, SQL Server DBA. Application side - > Python, Dot Net , Angular, Flutter, Node, React , PHP, Vue JS , Java script , Flutter, Automation testing , Selenium , Load testing , etc. Website: https://datafortune.com/ LinkedIn: https://www.linkedin.com/company/datafortune/posts/?feedView=all

Job Id: R0000388529 Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Lead Engineer (L6) you will own the technical strategy, architecture, and delivery for multiple teams building full‑stack, AI‑enabled contact‑center products. You will guide architectural evolution, champion security and reliability, and scale Generative AI adoption across the portfolio.Key Responsibilities Define and communicate architectural vision for full‑stack and event‑driven systems, aligning to enterprise guardrails. Drive high‑stakes design decisions (build vs. buy, domain boundaries, data models) across products and teams. Lead, mentor, and grow engineers (L4–L5) through coaching, design reviews, and career guidance. Establish and monitor SLIs/SLOs ; partner with SRE to improve availability, latency, and cost efficiency. Champion secure‑by‑design practices ; conduct threat modeling, oversee penetration tests, and drive remediation at scale. Integrate Generative AI capabilities (LLMs, RAG, agents) into platform architecture, balancing innovation with risk. Influence portfolio roadmaps by articulating technical trade‑offs and business impact to senior leadership. Cultivate engineering culture focused on psychological safety, learning, and continuous improvement. Required Qualifications : 10+ years of software engineering experience with at least 3 years in a technical leadership/architect role. Demonstrated mastery of full‑stack development (React/TypeScript; Kotlin/Micronaut, Java/Spring, Python) and distributed system design. Proven track record operating mission‑critical, high‑scale platforms (99.9 %+ availability). Deep expertise in cloud architecture ( GCP preferred ), CI/CD automation, observability, and cost optimization. Extensive knowledge of application & infrastructure security, compliance (PCI‑DSS, GLBA, SOX), and incident management. Experience architecting and shipping AI‑powered capabilities (OpenAI, Vertex AI, Hugging Face, vector DBs) to production. Exceptional communication and influence skills; ability to translate complex concepts for diverse stakeholders. Preferred Skills : Expertise with Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice , or other large‑scale telephony/IVR ecosystems. Experience leading enterprise‑wide modernization or platform migration initiatives. Contributions to open‑source or industry standards; conference speaking Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging Competitive benefits We are proud to provide benefits that support you, your family and your future. Health and well-being Target in India (TII) prioritizes our people by offering healthcare support, fitness programs, teleheath benefits (i.e., screenings and consultations) and 24/7 confidential mental well-being telecounseling support. Financial well-being Your financial well-being is bright with TII's comprehensive flexible insurance program, National Pension System, learning assistance program, day care support and much more. Paid time off TII encourages work-life balance with paid time off like privilege, casual, bereavement and parental leaves that offer support in all stages of life. Competitive pay TII knows our people are everything and proudly provides equitable and competitive pay. Other benefits From digitalized cafeteria solutions to transportation services to broadband reimbursement, enjoy special everyday perks. Eligibility requirements may vary based on position, average hours worked, length of service and program requirements. Benefits are subject to change. Creating a culture of joy We bring out the best in each other every day. Inclusivity We value diverse voices and approaches. We act with authenticity and respect. We create equitable experiences for all. Connection We build trusted relationships. We collaborate across business functions. We recognize and celebrate progress. Drive We do what is right for Target, our team and guests. We deliver results that matter. We continually learn by valuing progress over perfection.

Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Lead Engineer (L6) you will own the technical strategy, architecture, and delivery for multiple teams building full‑stack, AI‑enabled contact‑center products. You will guide architectural evolution, champion security and reliability, and scale Generative AI adoption across the portfolio.Key Responsibilities Define and communicate architectural vision for full‑stack and event‑driven systems, aligning to enterprise guardrails. Drive high‑stakes design decisions (build vs. buy, domain boundaries, data models) across products and teams. Lead, mentor, and grow engineers (L4–L5) through coaching, design reviews, and career guidance. Establish and monitor SLIs/SLOs ; partner with SRE to improve availability, latency, and cost efficiency. Champion secure‑by‑design practices ; conduct threat modeling, oversee penetration tests, and drive remediation at scale. Integrate Generative AI capabilities (LLMs, RAG, agents) into platform architecture, balancing innovation with risk. Influence portfolio roadmaps by articulating technical trade‑offs and business impact to senior leadership. Cultivate engineering culture focused on psychological safety, learning, and continuous improvement. Required Qualifications : 10+ years of software engineering experience with at least 3 years in a technical leadership/architect role. Demonstrated mastery of full‑stack development (React/TypeScript; Kotlin/Micronaut, Java/Spring, Python) and distributed system design. Proven track record operating mission‑critical, high‑scale platforms (99.9 %+ availability). Deep expertise in cloud architecture ( GCP preferred ), CI/CD automation, observability, and cost optimization. Extensive knowledge of application & infrastructure security, compliance (PCI‑DSS, GLBA, SOX), and incident management. Experience architecting and shipping AI‑powered capabilities (OpenAI, Vertex AI, Hugging Face, vector DBs) to production. Exceptional communication and influence skills; ability to translate complex concepts for diverse stakeholders. Preferred Skills : Expertise with Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice , or other large‑scale telephony/IVR ecosystems. Experience leading enterprise‑wide modernization or platform migration initiatives. Contributions to open‑source or industry standards; conference speaking Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Job Id: R0000393743 Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Senior Engineer (L5) you will drive the design, architecture, development, testing, and deployment of full‑stack capabilities across multiple product teams. You serve as a technical mentor, champion secure‑by‑design practices, and lead the integration of Generative AI into production systems.Key Responsibilities Drive the end‑to‑end delivery of full‑stack features, balancing speed, quality, and sustainability. Collaborate with product, UX, SRE, and platform teams to translate product requirements into scalable technical designs. Architect and maintain robust, scalable, and secure back‑end services & APIs (microservices, event‑driven, serverless). Build user‑centric front‑end interfaces with React/TypeScript and modern UI patterns. Lead code reviews, establish testing strategies, and uphold engineering best practices. Mentor engineers (L4) , fostering a culture of continuous learning and psychological safety. Advance security posture by performing threat modeling, vulnerability management, and incident response. Partner with InfoSec and platform teams to prioritize remediation and reduce enterprise risk. Lead Gen AI proof‑of‑concepts (LLMs, prompt engineering, embeddings) and shepherd successful experiments into production. Required Qualifications : 5–7 years of professional full‑stack development experience. 3+ years supporting mission‑critical production systems, including on‑call rotations. Deep proficiency in React (or Vue/Angular) and Kotlin/Micronaut, Java/Spring, or Python on the back end. Expertise in API design (REST, GraphQL) and event streaming ( Kafka ). Hands‑on experience with relational & NoSQL databases, and cloud platforms ( GCP, AWS, or Azure ). Demonstrated experience automating CI/CD pipelines and Infrastructure as Code. Strong knowledge of infrastructure and application security; scripting in shell/Python , config mgmt in Chef/Terraform . Proven problem‑solving ability, excellent communication, and cross‑team collaboration skills. Hands‑on with Gen AI frameworks (OpenAI, Hugging Face, LangChain, vector databases) and prompt engineering. Preferred Skills : Domain expertise in Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice, GCP Speech/Vertex AI, or other telephony/IVR/Voice AI platforms. Experience implementing security compliance (PCI‑DSS, GLBA, SOX) in large enterprises. Track record of shipping AI‑powered features to production at scale. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging Competitive benefits We are proud to provide benefits that support you, your family and your future. Health and well-being Target in India (TII) prioritizes our people by offering healthcare support, fitness programs, teleheath benefits (i.e., screenings and consultations) and 24/7 confidential mental well-being telecounseling support. Financial well-being Your financial well-being is bright with TII's comprehensive flexible insurance program, National Pension System, learning assistance program, day care support and much more. Paid time off TII encourages work-life balance with paid time off like privilege, casual, bereavement and parental leaves that offer support in all stages of life. Competitive pay TII knows our people are everything and proudly provides equitable and competitive pay. Other benefits From digitalized cafeteria solutions to transportation services to broadband reimbursement, enjoy special everyday perks. Eligibility requirements may vary based on position, average hours worked, length of service and program requirements. Benefits are subject to change. Creating a culture of joy We bring out the best in each other every day. Inclusivity We value diverse voices and approaches. We act with authenticity and respect. We create equitable experiences for all. Connection We build trusted relationships. We collaborate across business functions. We recognize and celebrate progress. Drive We do what is right for Target, our team and guests. We deliver results that matter. We continually learn by valuing progress over perfection.

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. What You'll Do: We are especially interested in candidates with experience in Artificial Intelligence technologies, including working with large language models (LLMs), generative AI (GenAI), and the ability to develop and operationalize AI capabilities using SAP AI Core. As an AI Senior Developer in the Service Cloud team, the primary responsibility will be to develop product features within the Service portfolio, integrating AI-driven solutions, and helping the team deliver services on the cloud-native stack on a continuous basis. You will work with a highly motivated and talented set of colleagues. You will: Be a motivated, self-starter who can operate with minimal handholding. Translate business requirements into scalable and performant technical solutions. Design, code, test, and assure the quality of complex AI-powered product features within our Customer Experience & Service portfolio. Contribute to the integration of AI-powered capabilities into SAP CX solutions using SAP AI Core and LLMs. Build intelligent, adaptive services using generative AI to enhance service workflows and customer interactions. Collaborate across teams and time zones, demonstrating flexibility and accountability What You Bring: 8+ years of software engineering experience, with significant exposure to building products on the cloud-native stack. Strong knowledge of Computer Science fundamentals. Proficiency in Java; Spring Boot experience preferred. Familiarity with JavaScript; experience with Angular or ABAP is a plus. Hands-on experience with Git and CI/CD pipelines. Proven track record of writing production-grade code for enterprise-scale systems. Experience with SQL databases; knowledge of NoSQL and event streaming (e.g., Kafka) is a bonus. Experience working with LLMs and generative AI frameworks (e.g., OpenAI, Hugging Face, etc.). Demonstrated ability to build or integrate AI-driven features into enterprise applications. Experience with SAP software (e.g., SAP S/4HANA, SAP Business Technology Platform) is an asset. Knowledge of Agentic AI and frameworks Strong collaboration and communication skills. Experience using tools like JIRA for tracking tasks and bugs Meet your Team The team primarily works on SAP Sales Cloud - Sales and Retail Execution topics.The topics include Sales Order, Sales Quote, Sales Contract, Survey, Perfect Store, Pricing, Library Management, Product Lists.Solution also integrates with core processes of SAP Sales Cloud and SAP S/4 HANA. Solution will be developed using event driven microservice architecture involving open source technologies and components like Java, Angular, K8s, Kafka, MongoDB, Elastic Search #SAPInternalT3 Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 426650 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.