112 Ai Agents Jobs

Role Overview: As the Manager, Learning Experience Design at Visa University's Learning Experience Design community, you will play a crucial role in supporting the Global Tech Learning organization. Your main responsibility will be to partner with subject matter experts (SMEs) to develop modern learning solutions that drive business impact and performance, particularly focusing on hands-on coding lab-based learning for software developers, data scientists, engineers, and other technical roles. You will need to demonstrate expertise in human-centered design and designing non-traditional learning solutions for technical audiences that align with a 3E learning solution strategy. Key Responsibilities: - Partner with Tech Learning Team Product Owners and Learning Consultants to design, develop, and support execution of 3E learning experiences for Technical audiences. - Collaborate with SMEs and stakeholders across Visa to understand learning needs, share design best practices, and create effective learning solutions using the latest design principles. - Design and develop innovative and scalable global hands-on learning solutions using modern learning methods to achieve measurable learning results. - Utilize AI technologies to create adaptive, personalized learning experiences. - Create immersive and engaging learning stateful coding lab experiences using a variety of formats and tools such as jupyter notebooks and cloud environments. - Engage with vendors to scale and augment team capacity. - Partner with operations, delivery, business enablement teams, and other project members to ensure seamless implementation of learning solutions. - Share best practices and expertise in learning capabilities, modalities, and tools. - Manage multiple projects in a fast-paced environment while ensuring the design of best-in-class experiences. - Stay updated on industry developments and implement new and innovative learning approaches and technologies. Qualifications: Basic Qualifications: - 10 or more years of relevant work experience with a bachelor's degree or at least 1 year of work experience with an advanced degree (e.g., Masters, MBA, JD, MD). Preferred Qualifications: - Experience with software development, especially Python and common libraries, and the Software Development Lifecycle. - Experience working in a global corporate organization supporting key business functions. - Instructional Design Degree or Certification. - Experience with building technical learning including coding hands-on labs. - Team player with the ability to collaborate with peers, share ideas, and openness to a diverse range of thinking and working. - Experience in using human-centered design principles and instructional design methodologies (e.g., Agile, Design Thinking, etc). - Familiarity with a variety of common learning authoring tools (e.g., Storyline, Rise, Synthesia, Camtasia, etc). - Experience developing labs with Python. - Experience building and deploying AI Agents. - Experience building adaptive game-based learning. - Demonstrated passion for developing holistic learning experiences using persona and mind mapping and prototyping to ideate audience needs. - Ability to create and iterate thoughtful designs considering attention to detail with a keen focus on the user experience and alignment to broader business strategies. - Ability to adapt to change quickly, with enthusiasm and resourcefulness, when tackling unfamiliar tasks, requests, and large transformations. - Intellectually curious with a growth mindset. - Comfortable giving and receiving feedback. - Demonstration of strong written and oral communication skills. - Prioritizes effectively, manages scope creep, and knows when to escalate. - Ability to consult with SMEs within Visa University and broader Visa. - Self-motivated, able to work independently and in cross-functional agile teams, while delivering critical milestones.,

As a potential candidate for this position, you will be responsible for contributing to cutting-edge AI/ML solutions at Goldman Sachs. Here is a breakdown of the qualifications and attributes you should possess: - A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a related field is required. - Preferably 7+ years of AI/ML industry experience for Bachelors/Masters, 4+ years for PhD, with a focus on Language Models. - Strong foundation in machine learning algorithms, including deep learning architectures like transformers, RNNs, CNNs. - Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn. - Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), model fine-tuning, prompt engineering, AI agents, and evaluation techniques. - Experience working with embedding models and vector databases. - Experience with MLOps practices, including model deployment, containerization (Docker, Kubernetes), CI/CD, and model monitoring. - Strong verbal and written communication skills. - Curiosity, ownership, and willingness to work in a collaborative environment. - Proven ability to mentor and guide junior engineers. Desirable experience that can set you apart from other candidates includes: - Experience with Agentic Frameworks (e.g., Langchain, AutoGen) and their application to real-world problems. - Understanding of scalability and performance optimization techniques for real-time inference such as quantization, pruning, and knowledge distillation. - Experience with model interpretability techniques. - Prior experience in code reviews/architecture design for distributed systems. - Experience with data governance and data quality principles. - Familiarity with financial regulations and compliance requirements. About Goldman Sachs: At Goldman Sachs, the commitment is to help clients, shareholders, and communities grow by leveraging people, capital, and ideas. Established in 1869, Goldman Sachs is a prominent global investment banking, securities, and investment management firm headquartered in New York with offices worldwide. Goldman Sachs is dedicated to fostering diversity and inclusion by providing numerous opportunities for personal and professional growth, including training, development, networks, benefits, wellness, personal finance offerings, and mindfulness programs. To learn more about the culture, benefits, and people at Goldman Sachs, visit GS.com/careers. Goldman Sachs is dedicated to providing reasonable accommodations for candidates with special needs or disabilities during the recruiting process. To learn more about accommodations, visit: https://www.goldmansachs.com/careers/footer/disability-statement.html Copyright The Goldman Sachs Group, Inc. 2023. All rights reserved.,

Role & responsibilities Role Overview: InnovaPoint is seeking a dynamic Senior AI Engineer to lead the development and deployment of cutting-edge AI solutions. This role is ideal for a self-driven technologist with deep expertise in AI/ML and a passion for building intelligent systems such as AI chatbots, agents, automation tools, and recommendation engines. You will be responsible for transforming business challenges into scalable AI solutions while also supporting strategic conversations about how AI can reshape services and operations. Responsibilities: Design, build, and deploy AI/ML models, AI chatbots, and custom AI agents Work with LLMs (OpenAI, Anthropic, Mistral) and frameworks like LangChain or LlamaIndex Develop prompt engineering and RAG-based solutions using vector databases Integrate AI capabilities into web applications, internal tools, and client platforms Optimize and monitor model performance in production environments Collaborate with frontend/backend developers and DevOps for AI solution delivery Research and experiment with the latest in GenAI, NLP, and multimodal AI systems Maintain AI best practices, documentation, and model version control Required Skills: Strong programming skills in Python and experience with AI/ML libraries (Transformers, PyTorch, TensorFlow) Hands-on experience with GenAI APIs (OpenAI, Claude, etc.) Solid grasp of LLMs, chatbot architectures, RAG pipelines, and embedding models Experience deploying models in cloud environments (AWS/GCP/Azure) Knowledge of vector stores, memory modules, and LLM app frameworks Bonus: familiarity with Streamlit, Gradio, or other rapid AI prototyping tools Qualifications: B.Tech/M.Tech/MCA in Computer Science, AI, Data Science, or related field 4+ years of software development experience, focused on AI/ML/GenAI For more information, please visit our website and social media pages. Website www.innovapoint.com Insta - InnovaPoint (@innovapoint) • Instagram LinkedIn - InnovaPoint Infotech Private Limited | LinkedIn

As a Generative AI Expert at Cogniter Technologies, you will be a valuable member of our advanced AI/ML team. Your role will involve designing and delivering scalable AI applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases. Key Responsibilities: - Develop intelligent applications using models such as GPT-4, LLaMA, Mistral, Falcon. - Architect and implement RAG pipelines for knowledge-driven AI systems. - Build AI agents with frameworks like LangChain. - Integrate vector databases (FAISS, Pinecone, Weaviate) for semantic search. - Deploy and manage real-time inference engines (e.g., Groq). - Optimize LLM performance, token usage, context handling, and prompts. - Collaborate with cross-functional teams to embed AI into production applications. - Stay updated on Generative AI and multimodal AI innovations. If you are passionate about building intelligent systems that solve real-world problems, Cogniter Technologies is looking forward to hearing from you.,

As a Solution Architect specializing in AI & Automation, your role will involve designing and delivering cutting-edge agentic automation solutions that leverage technologies such as UiPath RPA, AI Agents, LLMs, and Generative AI. Your focus will be on building scalable, secure, and reusable architectures to optimize operations, enhance decision-making, and accelerate digital transformation. Key Responsibilities: - Design end-to-end automation solutions using UiPath RPA, AI Agents, LLMs, and Generative AI. - Define scalable, reusable, and secure solution architectures aligned with business and technology strategies. - Partner with stakeholders to understand business challenges and craft intelligent automation solutions. - Provide technical leadership for integrating automation and AI into existing workflows. - Work with UiPath, AI/ML models, APIs, and cloud platforms (AWS, Azure, Databricks) to build intelligent automation solutions. - Evaluate and recommend emerging AI technologies (LLMs, AI Agents, GenAI) for automation use cases. - Ensure compliance with industry standards, security, and governance requirements. - Lead the development of PoCs to validate automation use cases and measure business value. - Collaborate with AI/ML engineers to refine and enhance automation capabilities. - Stay current with trends in AI, LLMs, and automation to drive innovation. - Work closely with business stakeholders, developers, and AI/ML engineers on solution delivery. - Mentor developers and guide teams on best practices for automation and AI integration. Qualifications Required: - Extensive experience in automation solution design, with strong expertise in UiPath RPA. - Hands-on experience integrating AI (LLMs, AI Agents, GenAI) into automation workflows. - Proven ability in designing agentic automation architectures for process optimization and decision-making. - Deep knowledge of UiPath ecosystem (Orchestrator, AI Center, Action Center, Document Understanding). - Strong expertise in cloud platforms (AWS, Azure, Databricks, or similar). - Proficiency in Python, APIs, and optionally Power Automate for automation integration. - Strong problem-solving skills and ability to translate business needs into scalable technical solutions.,

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure. Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL). Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions. Required Skills & Experience 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems . Strong proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs. Experience developing AI-driven backends and services with a strong understanding of scalability and performance. Familiarity with vector search technologies, database integration, and cloud-native architectures. Excellent communication and collaboration skills; ability to work effectively in a team environment. Education B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field. Role: Gen AI Engineer Designation: AI Developer Experience: 2-5 Years (AI/ML, NLP, Generative AI): Location: Pune

As a Principal Machine Learning Engineer at Oracle Cloud Infrastructure, you will be part of the Generative AI Solutions team focused on building cutting-edge AI applications to address global challenges. You will have the opportunity to work on advanced AI solutions running on powerful cloud infrastructure, utilizing machine learning and Generative AI technologies to tackle complex real-world problems. Key Responsibilities: - Design, build, and deploy cutting-edge machine learning and generative AI solutions, specifically focusing on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. - Collaborate with scientists, engineers, and product teams to develop scalable AI solutions for enterprises by translating complex problems into cloud-ready applications. - Conduct experiments, explore new algorithms, and innovate in the field of AI to enhance performance, customer experience, and business outcomes. - Ensure the implementation of ethical and responsible AI practices across all solutions. Qualifications Required: - Deep expertise in applied Machine Learning and Artificial Intelligence. - Hands-on experience in developing production-grade AI solutions. - Creativity and innovation at the intersection of AI and enterprise cloud. Join OCI Gen-AI Solutions team and be a part of designing, developing, and deploying customized Generative AI solutions for strategic customers. This role offers the opportunity to work closely with applied scientists and product managers to create real-world impact through innovation in AI technologies.,

As a Data Scientist at C5i, you will be part of a team that caters to some of the world's largest enterprises, including Fortune 500 companies across various sectors such as Technology, Media, Telecom, Pharma & Lifesciences, CPG, Retail, and Banking. C5i has garnered recognition from industry analysts like Gartner and Forrester for its Analytics and AI capabilities along with proprietary AI-based platforms. **Key Responsibilities:** - Possess 4+ years of experience in machine learning, deep learning, or AI research, focusing on generative models. - Demonstrated expertise in generative models including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models like GPT-3/4, BERT, DALL.E. - Understanding of model fine-tuning, transfer learning, and prompt engineering within the realm of large language models (LLMs). - Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applicable to generative tasks. - Proficient in Python programming and well-versed with relevant libraries and frameworks. - Proven hands-on experience in document detail extraction and feature engineering. - Proficiency in data processing and manipulation techniques. - Hands-on experience in developing data applications using Streamlit or similar tools. - Advanced knowledge in prompt engineering, chain of thought processes, and AI agents. - Strong problem-solving skills and the ability to collaborate effectively in a team environment. - Excellent communication skills to articulate complex technical concepts to non-technical stakeholders. **Qualifications Required:** - 4+ years of experience in machine learning, deep learning, or AI research, with a specific focus on generative models. - Proficiency in generative models such as GANs, VAEs, and transformer-based models. - Knowledge of reinforcement learning and advanced machine learning techniques for generative tasks. - Strong programming skills in Python and familiarity with relevant libraries and frameworks. - Proven experience in document detail extraction and feature engineering. - Hands-on experience in building data applications using Streamlit or similar tools. - Advanced knowledge in prompt engineering, chain of thought processes, and AI agents. - Strong communication skills to effectively convey technical concepts to non-technical stakeholders. Please note that the Job Description also mentions that C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.,

As a Senior Applied Scientist at Oracle Cloud Infrastructure, you will be part of the Generative AI and AI Solutions Engineering team, working on building advanced AI solutions that address real-world challenges. Your role will involve: - Designing, building, and deploying cutting-edge machine learning and generative AI systems, focusing on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. - Collaborating with scientists, engineers, and product teams to transform complex problems into scalable AI solutions ready for the cloud. - Developing models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision. - Conducting experiments, exploring new algorithms, and pushing the boundaries of AI to enhance performance, customer experience, and business outcomes. - Ensuring the implementation of ethical and responsible AI practices in all solutions. You are an ideal candidate for this role if you possess deep expertise in applied ML/AI, hands-on experience in building production-grade solutions, and the ability to innovate at the intersection of AI and enterprise cloud. Join us at Oracle Cloud Infrastructure to blend the speed of a startup with the scale of an enterprise leader.,

As a Principal Applied Data Scientist at Oracle Cloud Infrastructure, you will be responsible for designing, building, and deploying cutting-edge machine learning and generative AI systems. Your focus will primarily be on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. Key Responsibilities: - Collaborate with scientists, engineers, and product teams to transform complex problems into scalable AI solutions suitable for enterprises. - Develop models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision. - Conduct experiments, explore new algorithms, and push the boundaries of AI to enhance performance, customer experience, and business outcomes. - Ensure the implementation of ethical and responsible AI practices across all solutions. Qualifications Required: - Deep expertise in applied ML/AI. - Hands-on experience in building production-grade solutions. - Creativity to innovate at the intersection of AI and enterprise cloud. Oracle Cloud Infrastructure is known for blending the speed of a startup with the scale of an enterprise leader. The Generative AI Service team focuses on building advanced AI solutions that address real-world, global challenges using powerful cloud infrastructure.,

As a GenAI Technical Solutions Architect, your role involves developing and implementing architecture strategies for Gen AI to enhance AI ML model deployment and monitoring efficiency. You will focus on developing cutting-edge architectural strategies for Gen AI components and platforms, leading the implementation of LLM operations, and working closely with data scientists and AI professionals to drive digital transformation. Your responsibilities include: - Developing cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced techniques such as chunking, Retrieval-Augmented Generation (RAG), AI agents, and embeddings. - Leading working sessions for Arch Alignment, pattern library development, GEN AI Tools Data Architect alignment, and identifying components for reuse to save efforts, time, and money. - Leading the implementation of LLM operations to optimize model performance, scalability, and efficiency, and designing autonomous AI systems capable of complex decision-making and task execution. - Working closely with data scientists and AI professionals to identify and pilot innovative use cases aligned with business objectives and ROI. - Defining AI architecture, selecting suitable technologies, integrating RAG systems, embedding models, and LLM frameworks, and deciding on optimal deployment models. - Auditing AI tools and practices for continuous improvement, collaborating with security and risk leaders to ensure ethical AI implementation, and staying updated on AI regulations. You should have: - Proven track record in shipping products and developing Gen AI product architecture, with 10+ years of experience in AI and 5+ years in building NLP/AI software. - Demonstrated experience in delivering Gen AI products, deep familiarity with cloud technologies, proficiency in PyTorch, TensorFlow, Kubernetes, Docker, and experience deploying models using advanced LLM ops techniques. - Excellent communication and interpersonal skills, hands-on experience with chunking strategies, RAG implementation, and optimizing embedding models. Qualifications: - Bachelor's or master's degree in computer science, Data Science, or a related technical field. - Ability to translate complex technical concepts into actionable business strategies, strong communication skills, and a proven track record in managing and delivering AI/ML projects in large-scale enterprise environments.,

You will define AI/ML architectures, lead marquee customer engagements, and evangelize cutting-edge solutions in Generative AI (GenAI), Large Language Models (LLMs), AI Agents, and Responsible AI frameworks. The role demands a unique balance of strategic vision, hands-on technical delivery, and market-facing thought leadership. Job Title: Principal AI Architect - Consulting Technical Manager Location: India (Global role with cross-regional collaboration requires flexible time-zone support) Experience: 15-20 years total, with at least 8+ years in AI/ML solutioning and enterprise architecture Job Type: Full-time, Individual Contributor (Enterprise Architect calibre) Core Competencies Enterprise Architecture - Defining AI-enabled enterprise architectures that scale across industries. Generative AI & Agents - Proven expertise in LLMs, multi-modal AI, AI agent orchestration, and prompt/flow engineering. Cloud & Multi-cloud Strategy - Expert in Oracle Cloud Infrastructure (OCI) experience with AWS, Azure, GCP highly valued. AI/ML Engineering & MLOps - Strong grounding in ML frameworks (LangChain, HuggingFace, PyTorch, TensorFlow), CI/CD, observability, and governance. AI Security & Responsible AI - Knowledge of data privacy, fairness, explainability, model risk & compliance frameworks. Executive Engagement - Ability to communicate AI vision and ROI at board/executive level, while guiding technical teams on design/delivery. Innovation & GTM - Strong orientation towards IP reuse, accelerators, and GTM initiatives (proposals, bid defense, executive workshops). Qualifications & Experience 16-20 years in technology, with 8+ years in AI/ML, Data Science, or Advanced Analytics. Demonstrated track record in enterprise-scale AI/ML adoption-from discovery to production rollout. Proven hands-on expertise in GenAI, LLM fine-tuning, multi-modal AI, and intelligent agents. Deep experience with cloud-native deployments, vector databases, RAG architectures, and hybrid data pipelines. Strong expertise in MLOps, governance, and lifecycle management of AI models. Experience in executive-facing roles (CxO briefings, board-level AI strategy sessions). Bachelor's/Master's in Computer Science, Data Science, AI, or equivalent. PhD preferred but not mandatory. Contributions to AI thought leadership: patents, whitepapers, conference talks, or AI community initiatives. Key Responsibilities Enterprise AI Leadership Drive enterprise-wide AI/ML architecture strategy, ensuring alignment with business outcomes, data strategy, security, and compliance. Solution Design & Delivery Architect, prototype, and deliver production-grade AI systems across GenAI, LLMs, multi-modal AI, RAG pipelines, and intelligent agents. CxO Engagement Act as a trusted advisor to CIOs/CTOs/CDOs on AI adoption strategy, cloud-native transformation, and scaling AI beyond PoCs into production. Hands-on Technical Authority Remain deeply hands-on in architecting and integrating AI into enterprise landscapes (Fusion, EBS, custom apps, cloud-native stacks). Governance & Standards Establish AI architecture blueprints, reusable patterns, and governance frameworks (LLMOps, model risk management, AI security, EU AI Act compliance). Thought Leadership Represent the practice in customer-facing demos, conferences, and whitepapers influence Oracle's AI GTM and innovation roadmap. Cross-Studio Collaboration Partner with Cloud, Data & Analytics, and Security Studios to deliver end-to-end enterprise transformation solutions. Market & Innovation Focus Track global AI trends, vendor ecosystems (OpenAI, Cohere, Anthropic, HuggingFace), and continuously infuse market-leading innovation into delivery. Career Level - IC4

In this role at Small Medium Enterprises and Channel (SME&C), you will be part of a dynamic Cloud & AI technical team leading the charge in AI transformation for customers. As trusted technical advisors, you will help customers modernize their infrastructure, optimize operations, and drive innovation with cutting-edge AI capabilities. Your responsibilities will include migrating and modernizing estates to be AI-ready, accelerating innovation with AI agents and platforms, empowering development teams with AI, and unifying and modernizing data estates to meet business needs. **Responsibilities:** - Build Strategy - Shape strategic win and customer success plans with account and marketing teams - Capture competitive knowledge and deliver feedback to enhance team capabilities - Provide strategic, technical, and partner input at the account level - Education - Monitor and respond to internal tech community posts and attend community calls - Demonstrate new products to increase internal teams" understanding - Proactively identify learning gaps and grow domain knowledge - Leverage Partner Ecosystem - Support partner technical capacity and provide feedback to internal teams - Engage in partner sell-with scenarios and facilitate partner resources - Scale Customer Engagements - Leverage knowledge of resources and engage with customers proactively - Lead technical discussions with customers and ensure technical wins for core technologies - Build credibility with customers using industry knowledge - Solution Design and Proof - Apply architecture patterns and sales methodologies to drive cross-workload support - Demonstrate and oversee product demonstrations and proof of concept sessions - Align technology to customer business needs and leverage insights for solution design **Qualifications:** - Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience OR 3+ years technical pre-sales or technical consulting experience OR equivalent experience **Additional Or Preferred Qualifications:** - 4+ years technical pre-sales, technical consulting, or technology delivery experience OR equivalent experience - 2+ years experience with cloud and hybrid infrastructures, architecture designs, migrations, and technology management - Drive technical sales using technical demos and proofs of concept to influence solution design - Lead architecture sessions and technical workshops to accelerate Azure adoption - Resolve technical blockers by collaborating with engineering and sharing customer insights - Deep technical knowledge in database administration, database development, and advanced data analytics using Azure technologies.,

We are seeking a Gen AI Node.js developer to join our team in Bangalore & Dubai. The ideal candidate should have a degree or postgraduate qualification in Computer Science or a related field, or equivalent industry experience. With a minimum of 8 years of coding experience in Node.js, JavaScript, TypeScript, and NoSQL Databases, you will have a proven track record of implementing AI-powered features such as chatbot interfaces, language understanding, and summarization. You should possess hands-on experience and understanding of cloud and open source LLMs, as well as experience integrating AI frameworks like Langchain and LangGraph into existing or newly built applications. Familiarity with AI Agents and the Model Context Protocol (MCP) is desirable. Additionally, you should have experience with vector databases for retrieval-augmented generation and platforms like OpenShift for orchestration and deployment. As a Gen AI Node.js developer, you will be responsible for developing scalable, highly available RESTful APIs and familiar with common programming tools such as TypeScript, version control software, and CI/CD tools. Knowledge of asynchronous programming patterns, ORMs/ODMs for database interaction, real-time communication using WebSockets, and Azure AI services is essential. You should be well-versed in CI/CD principles, containerization using Dockers and Kubernetes, firewall and network security concepts, and best practices for securing APIs and data in a regulated environment. Strong proficiency in JavaScript, including DOM manipulation, and the ability to create automation test scripts are preferred. Experience in following best coding, security, unit testing, and documentation standards, along with Agile methodology, is required. The ideal candidate should excel at influencing multiple teams on technical considerations, possess excellent soft skills, and have the ability to interact and present ideas to Senior and Executive management effectively.,

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across various industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many everyday objects are conceived and manufactured using our Product Lifecycle Management (PLM) software. We are looking for a Research Engineer to join our Business Analytics team, who is curious, driven, and hands-on. In this role, you will focus on developing cutting-edge AI and data science solutions. Your responsibilities will include designing and implementing data-driven solutions, performing end-to-end data science workflows, building and maintaining RESTful services and APIs, developing interactive dashboards, contributing to developing LLM-based applications and AI Agents, integrating solutions with database systems, participating in research projects, transferring research results into actionable tools, supporting junior team members, and presenting research outcomes internally and externally. Key Responsibilities: - Design and implement data-driven solutions using machine learning models. - Perform end-to-end data science workflows. - Build and maintain RESTful services and APIs. - Develop interactive dashboards using Power BI or R Shiny. - Contribute to developing LLM-based applications and AI Agents. - Integrate solutions with traditional and vector database systems. - Participate in internal research projects and collaborations. - Transfer research results into actionable tools. - Support and coach junior team members. - Present research outcomes in internal and external forums. Required Skills & Experience: - 2-4 years of hands-on experience in data science, machine learning, or AI application development. - Proficiency in Python; working knowledge of R is advantageous. - Experience with FastAPI and building REST APIs. - Solid grasp of machine learning fundamentals. - Strong capabilities in data analysis, feature engineering, and model evaluation. - Basic understanding of frontend technologies. - Familiarity with business intelligence tools. - Working knowledge of LLMs, AI agents, and related technologies. - Understanding of relational and vector databases. Education: Bachelor's degree in Computer Science or related field. Soft Skills & Attributes: - Proven problem-solving and critical thinking abilities. - Creative and resourceful with a passion for research and innovation. - Strong business analysis and communication skills. - Excellent time management, organization, and proactive mindset. - A team player who thrives independently. - Open to feedback, vocal about ideas, and collaborative. Join us at Siemens, where over 377,000 minds are building the future across 200 countries. We value diversity and welcome applications that reflect our communities. Employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity to help shape tomorrow with us. We offer a comprehensive reward package, including competitive salary, bonus scheme, holiday allowance, pension, and private healthcare. Siemens Software. Transform the Everyday with Us.,

Roles & Responsibilities: 1: Work within an Agile team to design, test, and implement technical solutions across a fullstack of development and tools and technologies 2: Solve problems by crafting software solutions using maintainable, scalable, and modular code 3: Build and maintain features/functionality in our core .NET platform 4: Be an advocate for consistent, quality, and decoupled code by writing unit tests and Performing code reviews. Must have Skills: 1 Must have: C#/.NET/OOP 2 Nice to have: Database, Angular/TS 3 Nice to have : Exposure to AI Agents 4 Must have: Good communication skills Qualifications Bachelor&aposs degree in Computer Science (or related field) 7+ years of relevant work experience Expertise in Object Oriented Design, Database Design, and XML Schema Experience with Agile or Scrum software development methodologies Ability to multi-task, organize, and prioritize work Show more Show less

RESPONSIBILITIES: Agent Development Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement Stay updated on advancements in AI, machine learning, and Microsoft's AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices.

RESPONSIBILITIES: Agent Development Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement Stay updated on advancements in AI, machine learning, and Microsoft's AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices.

RESPONSIBILITIES: Agent Development Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement Stay updated on advancements in AI, machine learning, and Microsoft's AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices.

The company Repladder is a workflow automation agency that specializes in helping businesses develop scalable lead generation strategies through data-driven approaches. The team at Repladder focuses on cold outreach, custom targeting, and automated workflows to efficiently drive pipeline growth. Whether the company is a startup seeking its first customers or a scale-up looking to expand, Repladder is dedicated to supporting revenue growth every step of the way. The operations of the company run in the USA, UK & Europe. As a full-time on-site Software Engineer/Developer at Repladder located in Vadodara, you will have the exciting opportunity to work on GTM Products such as Clay.com, N8N, Make, Relevance, common room, and BRD AI. It is essential to note that proficiency in English speaking and writing is a mandatory requirement for candidates interested in this role. Responsibilities: - Demonstrated interest in complex workflows and utilizing multiple applications to achieve goals. - Expertise in webhooks and APIs. - Profound knowledge working with cursor.ai & lovable. - Ability to rapidly develop MVPs with backends. - Strong proficiency in JS & Python programming languages. - Positive attitude towards learning and feedback. - Experience with LLM models and prompting tasks. - Eagerness for continuous learning and growth. - Willingness to take ownership of tasks. - Strong skills in documentation. - Basic understanding of creating AI Agents, prompting, N8N, and lindy.ai. Benefits: - Access to paid tools valued at $20K. - Emphasis on a culture of learning and growing together. - Unlimited resources for continuous learning. - Flexible work timings. - Extra-curricular activities. Please note that this is an in-house role, and remote options are not available.,

You are seeking a Gen AI Node.js Developer for positions in Bangalore and Dubai. As an ideal candidate, you should hold a degree or postgraduate qualification in Computer Science or a related field, or possess equivalent industry experience. You must have a minimum of 8 years of coding experience in Node.js, JavaScript, and TypeScript, along with proficiency in NoSQL Databases. Your track record should demonstrate successful implementation of AI-powered features like chatbot interfaces, language understanding, and summarization. You should also have practical experience and knowledge of cloud and open-source LLMs, as well as integrating AI frameworks (e.g., Langchain, LangGraph) into applications for advanced language processing. Familiarity with AI Agents, Model Context Protocol (MCP), RAG concepts, and vector databases is essential. Experience with OpenShift or similar container platforms for orchestration and deployment is required. Your technical skills should include expertise in developing scalable, highly available RESTful APIs using Node.js, familiarity with common programming tools, asynchronous programming patterns, and designing and engineering prompts for large language model-based solutions. Proficiency in ORMs and ODMs for database interaction, real-time communication with WebSockets, and knowledge of Azure AI services are important. You should be well-versed in CI/CD principles, containerization, and network security concepts. In terms of functional skills, you should adhere to coding, security, unit testing, and documentation standards, and have experience in Agile methodology. Experience in Banking, Financial, or Fintech sectors is preferred. You must ensure the quality of technical architecture and design across the organization, and have the ability to research and benchmark technology effectively. Soft skills are also crucial, as you should be capable of influencing multiple teams on technical matters, working collaboratively, and presenting ideas to senior management. You must be a self-motivated individual who can take ownership and drive tasks independently. Excellent interpersonal skills are required for effective communication and interaction within the organization.,

Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Service team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. In this role, you will: Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises. Develop models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision. Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes. Ensure ethical and responsible AI practices in all solutions. We're looking for a Principal Applied Data Scientist with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud. As a Principal Applied Data Scientist in Oracle's OCI Gen AI & AI Solutions Engineering team, you'll shape the future of enterprise AI for our most strategic customers. You'll lead the design and delivery of next-generation generative AI and machine learning solutions-leveraging cutting-edge technology and Oracle's enterprise-scale cloud to solve complex, high-impact problems in industries like finance, telecom, healthcare, and software development. Lead and mentor teams from concept to delivery, driving product quality and innovation. Design and implement high-quality code for experiments and production ML models. Collaborate with product and engineering teams to deliver customer-focused, market-differentiating AI solutions. Conduct independent R&D to advance state-of-the-art ML with a focus on fairness and explainability. You will: Partner closely with customers to understand their vision, define requirements, and deliver AI solutions that remove blockers and unlock value. Dive deep into model architectures to maximize performance, scalability, and reliability. Build state-of-the-art solutions using emerging Gen AI and ML technologies. Configure and optimize large-scale OpenSearch clusters, including ingestion pipelines for high-volume data. Diagnose and resolve challenges in AI model training, deployment, and serving. Create reusable solution patterns and reference architectures that accelerate adoption across multiple customers. Act as a product evangelist-showcasing our innovations at customer meetings, industry events, and conferences. Collaborate with world-class scientists, engineers, and product managers in a fast-moving, high-impact environment. Qualifications Bachelor's or Master's degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development. Proven track record designing, building, and deploying scalable AI/ML solutions in production environments. Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization). Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization. Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving. Hands-on experience with NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LlamaIndex). Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers). Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations. Collaborative mindset with experience working closely with product managers, engineers, and customers. Ability to mentor and guide junior data scientists or ML engineers. Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events. Career Level - IC4

As the Global Content Experience Company, Hogarth partners with many of the world's top brands to deliver engaging and measurable content across various channels and media. With a team of over 7,500 experts, we aim to navigate the ever-changing landscape of content experience by combining creativity, production, and innovation. WPP, our parent company, is a creative transformation firm dedicated to building better futures through the power of creativity. With a global network of talented individuals, WPP operates in over 100 countries and is a leader in marketing services with strong AI, data, and technology capabilities. We are currently seeking an Agentic Architecture Lead to drive the design and evolution of architectural foundations for agentic systems - intelligent, goal-driven agents capable of autonomous decision-making and collaboration. The ideal candidate will be responsible for creating scalable, modular, and adaptive architectures that facilitate multi-agent coordination, autonomy, and integration in complex environments. Key Responsibilities: - Lead the design and evolution of agentic system architectures for distributed, intelligent agents. - Define standards, principles, and patterns for agent autonomy, communication, and coordination. - Collaborate cross-functionally with AI/ML, product, infrastructure, and security teams. - Architect frameworks to support multi-agent orchestration, goal alignment, memory, and reflection. - Establish best practices for safe, explainable, and trustworthy agent behavior. - Guide teams in integrating LLMs, symbolic reasoning, and RL/ML pipelines into agent systems. - Ensure the architecture supports scalability, extensibility, and performance in real-time environments. - Contribute to internal tools that monitor and optimize agentic behavior and system health. - Provide architectural mentorship to engineering teams and review critical design decisions. Requirements: Must-Have: - 8+ years in software architecture, including 3+ in autonomous systems, AI agents, or similar. - Strong experience with multi-agent systems, LLM integration, or cognitive architectures. - Expertise in designing event-driven, service-oriented, or microservice architectures. - Proficiency in at least one major programming language (e.g., Python, Go, Java, Rust). - Strong communication and leadership skills with a systems thinking mindset. Nice-to-Have: - Knowledge of agent simulation environments, e.g., OpenAI Gym, Unity ML-Agents. - Familiarity with concepts like Theory of Mind, recursive self-improvement, or agent modeling. - Experience with knowledge graphs, embeddings, vector databases, and memory architectures. - Exposure to safe AGI alignment or human-AI interaction frameworks. Academic Qualifications: - Bachelors degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field required. - Masters degree or Ph.D. in Artificial Intelligence, Cognitive Science, Machine Learning, Systems Engineering, or a closely related discipline preferred. - Proven academic or research exposure to autonomous agents, multi-agent systems, or intelligent architectures is a strong advantage. WPP is an equal opportunity employer committed to fostering a culture of respect and inclusivity. We value diversity and provide equal opportunities for all individuals to progress in their careers.,

Are you seeking an opportunity to play a pivotal role in contributing to the rapid growth of a highly successful software company Poppulo is at the forefront of innovation in communications and workplace technology, striving to simplify reaching every employee, managing office space in a hybrid world, and enhancing customer and guest experiences. With an enterprise-scale omnichannel platform trusted by over 6,000 organizations and reaching millions of employees, Poppulo aims to bring harmony to its customers. The Role: We are currently looking for a dynamic and driven Engineering Manager to lead and oversee our Engineering team. The ideal candidate will be tasked with managing engineering projects, ensuring the delivery of top-notch products, and cultivating a collaborative and innovative work environment. This role demands a blend of technical proficiency, leadership acumen, and effective collaboration with the Product team to align on the product roadmap. Responsibilities: - Supervise the development of our AWS-based digital signage CMS, web-based authoring tools, and 3rd party integrations within a cross-functional engineering team. - Lead a team of engineers dedicated to digital signage products while closely collaborating with leadership in Europe and the US. - Work closely with Product Management to grasp product priorities, gather customer feedback, and drive feature rollouts. - Coordinate solution design to address customer needs, ensuring alignment with the broader architectural vision. - Champion a culture of testability and high-quality code, collaborating with Product Owners, Principal, and Senior developers to manage technical debt. - Conduct daily stand-ups/planning sessions, address bottlenecks, and ensure efficient goal delivery. - Act as the primary liaison and representative for the development team in cross-functional meetings. - Provide coaching, mentorship, and opportunities for professional growth through performance reviews, goal setting, and skill gap identification. - Participate in hiring activities by conducting interviews, evaluating technical assessments, and upholding high standards in talent acquisition. Requirements: - Minimum 10 years of development experience, with at least 2 years of managing teams comprising 6 or more engineers (covering backend and frontend). - Proficiency in C# programming, including .NET build, debug, profiling tools, and source control. - Demonstrated success in building and deploying large-scale, AWS-centric web applications for content management or similar SaaS platforms. - Familiarity with TypeScript/JavaScript and modern web frameworks. - Sound knowledge of relational database design. - Experience with Microservices and design patterns. - Exposure to GitLab or similar tools in an automated testing environment. - Proficiency in delivering within a continuous delivery model. - Hands-on experience in collaborating with Product Management to define and deliver roadmap items for cloud-based or SaaS products. - Experience in managing sprint deliverables using JIRA or equivalent tools. - Capability in identifying and nurturing talent. - Some exposure to visual computing or display technologies, ensuring familiarity with digital signage use cases. - Enthusiasm for Artificial Intelligence, with practical exposure to Large Language Models (LLMs) and/or generative AI approaches. Desirable Skills: - In-depth knowledge of video streaming protocols, codecs, or advanced image manipulation. - Exposure to IoT device integration, embedded computing, Mobile Device Management (MDM), and Remote Monitoring Management (RMM). - Proficiency with observability tools like Grafana and Prometheus. - Familiarity with event-based architecture such as Kafka. - Experience with Android or other embedded OS platforms. - Hands-on experience with AI agents or advanced machine learning frameworks for process automation. Join Us: At Poppulo, we are a values-driven organization that encourages employees to bring their authentic selves to work and make a tangible impact on our products, clients, and culture. We offer a dynamic environment with motivated individuals who thrive on challenge and responsibility. If you are looking to contribute to a culture of innovation and growth, Poppulo is the place for you. Named a Great Place to Work multiple times, we are a rapidly expanding global technology company with offices in Ireland, the US, and the UK. Poppulo is proud to be an equal opportunity employer, fostering diversity and inclusion in all aspects of our operations.,

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : React.js, AI Agents & Workflow Integration Minimum 2 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to deliver high-quality applications that meet user expectations and business goals. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the documentation of application specifications and user guides. - Collaborate with cross-functional teams to gather requirements and provide technical insights. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Good To Have Skills: Experience with React.js, AI Agents & Workflow Integration. - Strong understanding of software development life cycle methodologies. - Experience with version control systems such as Git. - Familiarity with database management and SQL. Additional Information: - The candidate should have minimum 2 years of experience in Python (Programming Language). - This position is based at our Bengaluru office. - A 15 years full time education is required. Show more Show less