141 Mcp Jobs - Page 4

DESCRIPTION Exp- 2+yrs Job Responsibilities: Innovate by exploring and implementing new AI ideas and solutions. Work on GenAI and LLM s using Llama/OpenAI/Gemini/HuggingFace (e.g., fine-tuning, prompt engineering). Build and optimize computer vision pipelines using Neural Network. Develop ML models for image classification, detection, and segmentation. Utilize Model Context Protocol(MCP) to manage and structure contextual inputs for LLMs. QUALIFICATIONS Must Have Skills AI ML GenAI LLMs fine-tuning prompt engineering computer vision Neural Network image classification detection segmentation Python coding Model Context Protocol Good To Have Skills Llama OpenAI Gemini HuggingFace Minimum Education Level Bachelors or Equivalent Years of Experience 2-0 years

Job Title Ind & Func AI Decision Science Analyst - S&C GN Management Level :11 - Analyst Location :Gurgaon Must have skills :Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration Good to have skills:AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration Job Summary :As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Development o Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures o Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously o Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs o Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques: o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs). o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models: o Build and deploy AI models and Generative AI applications. o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. o Evaluate model performance and implement iterative improvements. Solution Integration and Deployment: o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability. o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing: o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks. o Document methodologies and findings for effective knowledge sharing. Professional & Technical Skills: Must To Have Skills: Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models. Professional & Technical Skills: The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | AccentureQualification Experience :Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment Educational Qualification:Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record

NTT DATA is looking for a talented and passionate individual to join our team in Chennai, Tamil Nadu, India as a Python Full Stack + JAVA Microservices Developer. As a part of our team, you will be responsible for the development, testing, and maintenance of software applications and systems. You will lead the planning and design of product and technical initiatives, as well as mentor developers and team members. Your role will involve driving improvements in engineering techniques, standards, practices, and processes across the department, fostering a culture of knowledge sharing and collaboration. You will collaborate with team members to ensure high-quality deliverables that are optimized and adhere to performance standards. Additionally, you will engage with key internal stakeholders to understand user requirements and prepare low-level design documents for the development team. Participating in Agile planning and estimation activities will be a crucial part of your responsibilities, where you will break down large tasks into smaller ones. You will also be responsible for resolving team queries and escalating issues to the team lead if clarification is required from the customer. Providing technical guidance to the team, leading and resolving issues, and implementing reusable frameworks will be key aspects of your role. Mentoring junior team members, supporting interviews, and evaluations will also be part of your responsibilities. If you are looking to be part of an inclusive, adaptable, and forward-thinking organization, NTT DATA is the place for you. Join us in our mission to help clients innovate, optimize, and transform for long-term success. Apply now and be a part of our diverse team of experts in over 50 countries. Visit us at nttdata.com to learn more about our services and commitment to moving confidently into the digital future.,

As a Senior AI Engineer specialized in Voice AI and Autonomous Agents at Spyne, you will be responsible for owning and building Spynes in-house voice bot stack. This pivotal role involves leveraging your expertise in LLMs, ASR/TTS, and voice UX to develop immersive, human-like conversations between auto dealerships and their customers. Located in Gurugram, you will work from the office five days a week to drive the development of cutting-edge AI solutions in the automotive retail sector. Your primary responsibilities will include: - Voice AI Stack Ownership: Developing and managing the complete voice bot pipeline encompassing ASR, NLU, dialog state management, tool calling, and TTS to deliver a seamless conversation experience. - LLM Orchestration & Tooling: Designing systems utilizing MCP to facilitate structured context exchange between real-time ASR, memory, APIs, and the LLM. - RAG Integration: Implementing retrieval-augmented generation to support responses based on dealership knowledge bases, inventory data, recall lookups, and FAQs. - Vector Store & Memory: Creating scalable vector-based search functionalities for dynamic FAQ handling, call recall, and user-specific memory embedding. - Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and optimizing turn-taking models for natural conversations. - Model Tuning & Hallucination Control: Customizing tone, reducing hallucinations, and aligning responses with business objectives via fine-tuning, LoRA, or instruction tuning. - Instrumentation & QA Looping: Establishing robust observability, conducting real-time call QA processes, and analyzing interruptions, hallucinations, and fallbacks. - Cross-functional Collaboration: Collaborating closely with product, infra, and leadership teams to scale the voice bot solution to numerous US dealerships effectively. To excel in this role, you should possess: - Architectural Thinking: Ability to comprehend the integration of ASR, LLMs, memory, and tools and design modular, observable, and resilient systems. - LLM Tooling Mastery: Proficiency in implementing tool calling, retrieval pipelines, function calls, or prompt chaining across various workflows. - Fluency in Vector Search & RAG: Expertise in chunking, embedding, indexing, and retrieval processes while avoiding prompt bloat and token overflow. - Latency-First Mindset: Capability to identify and rectify token delays, optimize API round-trip time, and ensure human-like call interactions. - Grounding > Hallucination: Skill in tracing hallucinations to weak prompts, lack of guardrails, or tool access deficiencies and addressing them effectively. - Prototyping Skills: Comfort with building from scratch and rapid iteration using open-source or hosted tools as required. Requirements for this role include: - 5+ years of experience in AI/ML or voice/NLP systems with real-time exposure. - Profound knowledge of LLM orchestration, RAG, vector search, and prompt engineering. - Experience with MCP-style architectures and structured context pipelines between LLMs and APIs/tools. - Familiarity with integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. - Strong understanding of latency optimization, streaming inference, and real-time audio pipelines. - Proficiency in Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infrastructures (AWS/GCP). - Solid debugging, logging, and QA capabilities for hallucination, grounding, and UX analysis. Join Spyne for a real-world AI impact, a superior team balancing speed with technical depth, high autonomy, and visibility from day one, accelerated career growth, MacBook along with essential tools, and a flat structure focused on meaningful work without unnecessary bureaucracy.,

We seek a Senior Full Stack AI Engineer passionate about rapidly developing and demonstrating Agentic AI and workflow solutions. This role focuses on quickly translating innovative ideas into tangible Proofs of Concept (POCs), leveraging full-stack capabilities to build attractive user interfaces, integrate sophisticated AI agents, and deploy working solutions for impactful demonstrations. Key Responsibilities Rapid Agentic AI POC Development: Lead agile development of end-to-end Agentic AI and complex workflow POCs from concept to demonstration, ensuring rapid iteration and delivery. Design and implement multi-turn conversational Agents, Tools, and Chains. Full Stack Application Development: Develop attractive and intuitive front-end user interfaces (e.g., React, Next.js) and robust back-end APIs (e.g., FastAPI, Flask). Implement comprehensive testing strategies across the full stack. AI Orchestration & Integration: Utilize frameworks like Langgraph (or equivalents such as CrewAI, AutoGen) to orchestrate complex AI agent systems and multi-step workflows. Implement Agent-to-Agent (A2A) communication and adhere to Model Connect Protocol (MCP) for inter-model interactions. Apply advanced prompt engineering techniques. Deployment & Demonstration: Containerize applications (Docker) and deploy on Kubernetes for scalable POCs. Establish and utilize CI/CD pipelines for continuous integration and delivery. Prepare and deliver compelling technical demonstrations. Experience: 6+ years in ML + data engineering, with 2+ years in LLM/GenAI projects. Proven rapid prototyping track record. Technical Skills: Programming: Python, JavaScript/TypeScript (React, Next.js). AI/ML Fundamentals: LLMs, prompt engineering, Agentic AI architectures. Agentic AI & LLM Frameworks: Langgraph, CrewAI, AutoGen, A2A, MCP, Chains, Tools, Agents. Front-end: React, Next.js. Back-end: FastAPI, Flask. Databases: Vector databases (Pinecone, Weaviate), SQL/NoSQL. DevOps: Docker, Kubernetes (K8s), CI/CD, Testing. Cloud Platforms: AWS/Azure/GCP. Good to have: Experience with cloud-native AI/ML services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI). Familiarity with UI/UX design principles for creating engaging interfaces. Experience with asynchronous programming patterns in Python. Knowledge of caching mechanisms (e.g., Redis) for optimizing application performance. Understanding of general Machine Learning concepts and common algorithms beyond LLMs.

Paytm is India’s leading digital ecosystem for consumers and merchants. We’re redefining how people access financial services and how businesses grow through technology. As we expand our fintech footprint, we are investing in cutting-edge education, training, and innovation to upskill the future workforce. Role Overview We are looking for a highly experienced FinTech Academic Expert to join our team full-time. The ideal candidate is a domain expert with deep fintech knowledge, strong communication skills, and a passion for training, content development, and thought leadership. This role bridges fintech product expertise and educational innovation, supporting both internal capability-building and broader ecosystem engagement. Key Responsibilities Content Development Design and develop high-quality educational materials, case studies, and technical guides in fintech domains. Research & Trend Analysis Continuously monitor global fintech trends and integrate insights into learning content and internal sessions. Training & Enablement Conduct sessions for employees, partners, or student cohorts to enhance understanding of fintech tools and technologies. Product Support Provide domain-specific knowledge to assist with fintech product design, testing, and rollout from an educational and user-understanding perspective. Required Skills & Tools Must-Have Advanced Excel, Prompt Engineering, Agentic AI frameworks, MCP (Model Context Protocol), Java / Python / R (with hands-on coding experience). Good to Have Bloomberg Terminal (Financial Markets), Ethereum / Blockchain development experience, TensorFlow or other AI/ML toolkits, Familiarity with Agile and Kanban methodologies. Other Skills: Strong verbal and written communication, Ability to translate complex concepts into understandable learning modules, Passion for education, innovation, and industry transformation. Domain Knowledge Areas Digital Wallets and Payment SystemsBlockchain, Cryptocurrency FundamentalsAI/ML, Deep Learning, and Big Data AnalyticsCybersecurity, APIs, and Open BankingInsurTech and RegTech applications Qualifications & Experience Minimum 5+ years of industry experience in fintech, financial services, or bankingPrior experience in teaching, mentoring, or training is strongly preferredProduct development or product management experience in a fintech environment is a strong advantage Join us at Paytm and help shape the future of fintech through impactful education and cutting-edge innovation.

Overview: Guidepoint's Engineering team thrives on delivering innovative technology solutions that accelerate revenue growth, reduce costs, and increase efficiency and productivity. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to create new products and improve existing platforms to optimize the seamless delivery of our services. This is a hybrid position based in Pune. What You will Do: Develop and support scalable, maintainable software solutions utilizing .NET, Web API, Microservices, and Azure. Developing AI Agents Hands-on coding and development using .NET technologies for backend development. Build new applications/services/platforms. Refactor legacy components using innovative/scalable platforms. Work with large database schemas that include adding and updating tables and rows. Must have skills: Core Development: 8+ years of experience developing software using C#, .NET Core, Web API, Entity Framework Core, and SQL Server. Hands-on knowledge about using various agentic frameworks, MCP. Hands-on experience in building React Applications Azure Services: Experience with Service Bus, Functions, Managed SQL, Azure Storage, Key-Vault, Azure Load Balancer, API Management, App Service, Web Apps, Web Jobs, Azure Active Directory, Azure Monitor, Cosmos DB, Application Gateway, API Gateway, Azure Key Vault, PowerShell, JSON, Azure Analytics, Redis Cache. Familiarity with software design principles and architecture patterns, OOPS concepts. Hands-on experience in building C#.NET Core WebAPIs. Hands-on experience with testing frameworks such as xUnit. Design and build available, scalable, and maintainable software with security best practices.

As a Senior AI Engineer - Voice AI / Autonomous Agents at Spyne, you will have the opportunity to own and build Spynes in-house voice bot stack. In this high-impact individual contributor role, you will be at the intersection of LLMs, ASR/TTS, and voice UX, focusing on creating deeply human, latency-optimized conversations between auto dealerships and their customers. Your main responsibilities will include: Voice AI Stack Ownership: Building and owning the end-to-end voice bot pipeline, including ASR, NLU, dialog state management, tool calling, and TTS to deliver a natural, human-like conversation experience. LLM Orchestration & Tooling: Architecting systems using MCP (Model Context Protocol) to mediate structured context between real-time ASR, memory, APIs, and the LLM. RAG Integration: Implementing retrieval-augmented generation to ground responses using dealership knowledge bases, inventory data, recall lookups, and FAQs. Vector Store & Memory: Designing scalable vector-based search for dynamic FAQ handling, call recall, and user-specific memory embedding. Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and fine-tuning turn-taking models for natural conversation. Model Tuning & Hallucination Control: Using fine-tuning, LoRA, or instruction tuning to customize tone, reduce hallucinations, and align responses to business goals. Instrumentation & QA Looping: Building robust observability, running real-time call QA pipelines, and analyzing interruptions, hallucinations, and fallbacks. Cross-functional Collaboration: Working closely with product, infra, and leadership to scale this bot to thousands of US dealerships. To be successful in this role, you should possess: Architect-level thinking: Understanding how ASR, LLMs, memory, and tools fit together and having the ability to design modular, observable, and resilient systems. LLM Tooling Mastery: Implementing tool calling, retrieval pipelines, function calls, or prompt chaining across multiple workflows. Fluency in Vector Search & RAG: Knowing how to chunk, embed, index, and retrieve, while avoiding prompt bloat and token overflow. Latency-First Mindset: Debugging token delays, understanding the cost of each API hop, and optimizing round-trip time to maintain human-like interactions. Grounding > Hallucination: Tracing hallucinations back to weak prompts, missing guardrails, or lack of tool access and effectively addressing them. Prototyper at heart: Being unafraid of building from scratch and iterating quickly, utilizing open-source or hosted tools as necessary. The ideal candidate will have: 5+ years of experience in AI/ML or voice/NLP systems with real-time experience. Deep knowledge of LLM orchestration, RAG, vector search, and prompt engineering. Experience with MCP-style architectures or structured context pipelines between LLMs and APIs/tools. Experience integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. Solid understanding of latency optimization, streaming inference, and real-time audio pipelines. Hands-on experience with Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infra (AWS/GCP). Strong debugging, logging, and QA instincts for hallucination, grounding, and UX behavior. Working at Spyne offers real-world AI impact at scale, a high-performing team that balances speed with technical depth, high autonomy and visibility from day one, rapid career acceleration, access to MacBook and all necessary tools and compute, a flat structure with real work focus, and no BS. Join us in redefining how cars are marketed and sold with cutting-edge Generative AI.,

Job Description: About the Role We are seeking a passionate and skilled Data Scientist to join our innovative team. The ideal candidate will have a strong foundation in data science and artificial intelligence, with hands-on experience or strong understanding in cutting-edge technologies like Agentic AI , AR/VR , and Multi-Cloud Pipelines (MCP) . Key Responsibilities: Develop, implement, and maintain machine learning models and AI-driven solutions. Work with large and complex data sets to derive actionable insights and predictions. Explore and contribute to Agentic AI systems where autonomous decision-making and adaptive learning are key. Collaborate with cross-functional teams to integrate AI with AR/VR experiences . Design and optimize Multi-Cloud Pipelines (MCP) for scalable data ingestion, transformation, and model deployment. Key Skills: Data Scientist, AI, Agentic AI, AR/VR, MCP Location: Gurgaon.

Location: Gurgaon Shift Timings: 2 PM - 11 PM IST (5 Day's WFO) Qualifications & Skills • Bachelor's or Master's degrees in either computer Science or other disciplines of engineering • 4 to 7 years of experience in software product development • Expertise in Java-J2EE application development with good understanding of OOPs concepts. Should be proficient in implementation of well-known design and architectural patterns • Excellent Design and programming/coding skills to address business and technical use cases • Good knowledge of J2EE technologies (Core Java, Spring framework, Hibernate/eclipselink, web services(REST, SOAP) • Experience in web application development with JavaScript frameworks AngularJS, with JS-based build tools like Grunt, Gulp, and Bower • Exposure to Core web fundamentals: HTML, JavaScript, and CSS, Skills in one or more chosen frameworks/libraries like jQuery or Bootstrap • Good knowledge of any one of the version control system (GIT, SVN) • Excellent problem solving, excellent interpersonal skills and analytical skills with exquisite attention to detail, ability to think strategically and logically • Experience in writing and understanding automated unit test scripts and performing code reviews • Proficient in software development methodologies such as iterative, incremental and agile • Excellent written and verbal communication skill

Role & responsibilities Work as a system engineer to handle IT Support activities for below responsibilities. a. End user Support b. Hardware Support c. Helpdesk Management d. Cloud Administration (office 365, Azure, AWS) e. Server Administration f. Anti-virus Administration g. ME Desktop Central administration, Application/Software deployment h. License Management i. IT asset management 2. Need to work in shift timings as per business requirement Preferred candidate profile 1. Knowledge on Windows desktop, laptop, servers, and peripherals. 2. Proven work experience as an IT Support Engineer, Technical Support Engineer, or similar role 3. Knowledge on Microsoft windows, Active Directory, Office 365 etc. 4. Knowledge on cloud computing like AWS, Azure 5. Network administration skills like CISCO, SOPHOS 6. Antivirus administration like Sophos, ESET, McAfee, Kaspersky etc.. 7. Helpdesk tool administration like ManageEngine desktop central, service desk plus etc. 8. Knowledge on license management like Microsoft, adobe, Autodesk etc 9. Address user tickets regarding hardware, software, and networking. Ability to perform remote troubleshooting and provide clear instructions. 10. Excellent problem-solving and multitasking skills, Customer-oriented attitude 11. Fluent in spoken and written English communication. 12. Ability to work in different shift timings. 13. IT Technical certifications MCP / MCSA/MCSE etc.

[{"Salary":null , "Remote_Job":false , "Posting_Title":"Agent Developer" , "Is_Locked":false , "City":"Chennai" , "Industry":"Technology" , "Job_Description":" Responsibilities: Design, develop, and implement AI agents usingstate-of-the-art machine learning and natural language processing techniques. Collaborate with cross-functional teams tointegrate AI agents into various applications and platforms. Conduct research to advance the capabilities ofAI agents, including improving their conversational abilities, decision-makingprocesses, and adaptability. Optimize and fine-tune AI models for performance,scalability, and efficiency. Stay up-to-date with the latest advancements inAI and machine learning technologies and apply them to enhance our products. Experience With Vertex AI Platform, Along withConversational Agent, DialogFlow Understanding of Prompt Engineering, AgenticFramework, Google ADK, MCP, RAG Debug and troubleshoot issues related to AI agentperformance and functionality. Document development processes, code, andresearch findings. Requirements Requirements: Bachelors or Masters degree in ComputerScience, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing AI agents orsimilar applications Proven experience in GCP Landscape and Vertex AI. Strong programming skills in languages such asPython or Java.. Experience with machine learning frameworks andlibraries (e.g., TensorFlow, PyTorch, Keras). Knowledge of natural language processing (NLP)techniques and tools. Familiarity with reinforcement learning and otherAI methodologies. Excellent problem-solving skills and attention todetail. Strong communication and teamwork abilities.

Supreme Universal is looking for Engineer / Senior Engineer (3-5 yrs) to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

2+ Years in PHP, MySQL, Python, Mobile App & AI Key Responsibilities Develop and maintain web apps using PHP, MySQL, Python Use frameworks like Laravel, Django Build Android/iOS apps using Flutter or React Native Integrate AI features into web/mobile apps Add new AI functionalities into existing systems Perform API integrations with external tools Requirements Strong in PHP, MySQL, Python Knowledge of Agentic Development & MCP Experience with Laravel/Django Mobile app development experience Familiar with AI/ML tools & APIs Full stack experience preferred Independent problem-solving skills Tools & Technologies PHP, Python, Laravel, Django, Flutter, React Native, REST APIs, MySQL, AI/ML tools Perks Creative AI projects, full-time role, exposure to advanced technologies

Job Description Location:- Bangalore Skill sets - Mandatory: Preferable/Optional: Installation and Troubleshooting experience on Genesys Engage Framework,Routing and Realtime/Historical Reporting components (version 9.x/8.x) Installation & Troubleshooting experience on Genesys Digital Should have strong experience in troubleshooting all layers of Genesys Solution includes Genesys SIP Server, Pulse, URS/ORS, MCP, RM, OCS and Historical Reporting Layer (GIM). Should have experience in Log reading using Kazimir, Myzamir etc. Should be responsible for Requirement gathering, Implementing, preparing Test Plans for SIT and UAT. Experience in Genesys Cloud will be an added advantage. Experience in Genesys Engage to Genesys Cloud migrations. - SQL Query and scripting, knowledge on any other Databases and scripting knpowledge Job Roles and Responsibilities: Installation and Troubleshooting experience on Genesys Engage Framework, Routing and Realtime/Historical Reporting components (version 9.x/8.x) Installation & Troubleshooting experience on Genesys Digital Should have strong experience in troubleshooting all layers of Genesys Solution includes Genesys SIP Server, Pulse, URS/ORS, MCP, RM, OCS and Historical Reporting Layer (GIM). Should have experience in Log reading using Kazimir, Myzamir etc. Should be responsible for Requirement gathering, Implementing, preparing Test Plans for SIT and UAT. Experience in Genesys Cloud will be an added advantage. Experience in Genesys Engage to Genesys Cloud migrations Please confirm your interest.

About Us We are a cutting-edge AI innovation company developing intelligent agents that transform the way businesses operate. Our mission is to push the boundaries of what's possible with large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration. We work with top-tier clients across industries to deliver agentic systems that solve real-world business problems with speed, scale, and intelligence. Role Overview Were looking for an AI Agent Engineer to design, build, and refine advanced autonomous agents that operate across complex environments. Youll work at the intersection of technical architecture, AI-driven solution consulting, and system designcollaborating closely with business leaders, developers, and product teams to create production-ready, intelligent systems. This is an ideal role for engineers who are passionate about the future of AI, thrive on experimentation, and want to shape the next generation of automation through LLMs and multi-agent workflows. Key Responsibilities Core Engineering Architect and implement end-to-end AI agents using LangGraph, AutoGen, CrewAI, and other multi-agent frameworks (e.g., MCP, A2A). Design, iterate, and optimize prompts to support reliable and accurate agent performance in business-critical use cases. Integrate leading LLMs (GPT-4, Claude, Gemini, open-source alternatives) into real-time workflows and internal systems. Implement RAG architectures using vector databases such as Qdrant, Chroma, or Weaviate to ground agent responses in relevant context. Connect agents to APIs, external tools, document stores, and operational platforms to support intelligent decision-making. Collaboration & Consulting Translate client and internal requirements into AI-first system designs and architecture. Consult with product managers, sales engineers, and data teams to align AI solutions with business priorities and feasibility. Support implementation through technical documentation, design reviews, and hands-on problem-solving. Innovation & Enablement Lead test-and-learn initiatives and proof-of-concepts to validate agent performance and business value. Stay current on rapid developments in the LLM and multi-agent ecosystem and drive adoption of new capabilities. Contribute to the internal AI platform with tools, patterns, and reusable components to accelerate development. Provide training and support to technical and non-technical stakeholders to drive adoption and governance. Qualifications Must-Have: 3+ years of experience in AI/ML engineering or intelligent system development. Strong Python programming skills, with hands-on experience in prompt engineering and LLM workflows. Experience with frameworks such as LangGraph, CrewAI, AutoGen, LangChain, or similar agent development tools. Proficiency in implementing RAG architectures and working with vector databases (e.g., Qdrant, Chroma, Weaviate). Integration experience with APIs, databases, and frontend or workflow tools. Demonstrated success in consulting, technical sales, or AI solution architecture. Awareness of AI safety, compliance, and responsible development practices. Nice-to-Have: Familiarity with orchestration tools like n8n, Replit, or low-code AI automation platforms. Experience in enterprise domains such as insurance, healthcare, legal tech, or customer service. Exposure to multi-modal systems (text + vision) or knowledge graphs. MLOps or AI infrastructure experience in cloud environments (AWS, Azure, GCP Youll Thrive In This Role If You: Are energized by building systems that operate autonomously and adaptively in real-world scenarios. Can quickly move from ideation to implementation with a test-and-learn mindset. Stay at the forefront of LLM advancements and understand how to apply them to business problems. Communicate effectively across disciplines and help bridge product, engineering, and customer value. Thrive in a fast-paced, experimental environment that balances deep technical rigor with user impact. Why Join Us Work on frontier problems in AI agent design and autonomous systems. Collaborate with top-tier clients and industry-leading experts. Flexible work culture built around autonomy, innovation, and continuous learning. Competitive compensation and opportunities for high-impact contributions.

Experience: 2 years of experience in GenAI development is a must. Job Type: Work-from-Office or Remote | Full-time Location: Mangalore, Karnataka. Must have skills: Strong experience with MCP framework for building and deploying scalable AI solutions. Proven expertise in developing voice and text-based AI bots across platforms. Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and integration of GenAI APIs (like OpenAI, Azure OpenAI, etc.). Demonstrated ability to lead and manage teams , oversee project workflows, and drive successful delivery of technical solutions. Key Responsibilities: Design, develop, and optimize generative AI applications based on specific client requirements, including bots, agents, automation systems and AI-driven platforms Mentor and guide the development team, helping them solve technical challenges and improve project delivery Write clean, maintainable code and conduct code reviews. Lead data collection, preparation, and optimization efforts to enhance the performance of AI applications Stay updated with the latest research and advanements in AI/ML and assess their applicability. What Were Looking For? Strong programming skills in Python and experience with ML libraries/frameworks (Langchain, spacy, NLTK, Hugging Face, etc.).\ Hands-on experience with NLP, Dailogflow, Voiceflow, RASA, Microsoft Bot Framework, MCP Familiarity with MLOps practices, model deployment, and cloud platforms (AWS, GCP, Azure). Exposure to AI bot/agent platforms like Make, POE, RetellAI Solid understanding of data structures, algorithms, and software engineering principles. Strong analytical and problem-solving skills.

Req ID: 329415 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Advisor to join our team in Chennai, Tamil N du (IN-TN), India (IN). Tech Lead/Conversational AI Dev JD : 10+ years of experience. Python LLM Prompt Engineering RAG Graph DB (neo4j) NLP NLU GuardRails Mongo DB Oracle Full Stack Developer Knowledge Graph Specialist MCP About NTT DATA NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https: / / us.nttdata.com / en / contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If youd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Role Overview: We are looking for a Lead Data Scientist / AI Solution Architect to join our growing AI & Data team. The ideal candidate will have hands-on experience designing and deploying AI/ML solutions with Azure Cloud , LLMOps , Containerized environments , and Generative AI technologies. This is an onsite role based in Pune , offering you the opportunity to collaborate closely with cross-functional teams on impactful projects. Key Responsibilities: Architect and implement end-to-end AI/ML solutions using Azure AI/ML services Lead the design and development of LLMOps pipelines for deploying and managing large language models (LLMs) Work with containerized deployments using Docker and orchestration tools like Kubernetes Integrate and fine-tune Generative AI models for various real-world applications (text, vision, conversation, etc.) Collaborate with data engineers, product teams, and business stakeholders to deliver scalable AI systems Drive model monitoring, versioning, and responsible AI practices Document technical architecture, decision-making, and knowledge transfer Required Skills & Qualifications: 5 to 7 years of experience in Data Science / AI / ML solution development Strong hands-on experience with Azure AI services (ML Studio, Azure OpenAI, AI Foundry etc.) Experience working with LLMs , prompt engineering, and fine-tuning techniques Proven experience with containerized environments (Docker, Kubernetes) Strong programming skills in Python with relevant ML/AI libraries (TensorFlow, PyTorch, Transformers, etc.) Solid understanding of LLMOps/MLOps lifecycle and best practices Excellent communication, stakeholder management, and team collaboration skills Must Have: Hands-On LangChain, Hugging Face APIs, or Azure OpenAI APIs Strong knowledge of Azure Cognitive Services, Machine Learning Studio, Azure AI Search, AI Foundry Strong Knowledge of basic hygiene principles Git, Clean Code, Unit Testing, Jira, DevOps etc. Good to Have: Experience with Databricks Familiarity with Azure CI/CD pipelines Prior experience working in a startup or fast-paced product environmentRole & responsibilities

Senior Generative AI Developer 7+YRS PUNE/HYDERABAD/BANGALORE Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work with? Welcome to Zensar! Read on for more details on the role and about us. Job Title: Senior Generative AI Developer Years of Experience : 7+ Years Position Overview: Zensar Technologies is seeking a highly skilled Senior Generative AI Developer with deep knowledge of Generative AI principles and expertise in Multi-Cloud Platforms (MCP), Agent-to-Agent (A2A) integrations, and related Google technologies. In this role, you will be responsible for developing and implementing cutting-edge AI solutions that meet the evolving needs of our clients. Key Responsibilities: Design, develop, and implement generative AI models and applications that leverage MCP and A2A frameworks. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for AI solutions. Optimize and fine-tune AI models for performance, scalability, and reliability. Integrate Google technologies and tools to enhance AI capabilities, including Google Cloud AI services, BigQuery, and TensorFlow. Conduct research and stay updated on the latest advancements in generative AI and cloud technologies. Collaborate with data scientists and machine learning engineers to ensure seamless integration of AI models into production environments. Develop and maintain documentation for AI solutions, including design specifications, user guides, and technical reports. Provide technical support and troubleshooting for deployed AI applications. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 7+ years of experience in software development, with a focus on AI and cloud technologies. Deep understanding of generative AI concepts, methodologies, and frameworks. Expertise in Multi-Cloud Platforms (MCP) and Agent-to-Agent (A2A) integrations. Proficiency in Google Cloud technologies, including Google AI Platform, BigQuery, and TensorFlow. Strong programming skills in languages such as Python, Java, or Go. Experience with AI model development frameworks and tools. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Preferred Qualifications: Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Familiarity with data engineering and ETL processes. Knowledge of security best practices in cloud environments. Relevant certifications in cloud technologies or AI. Advantage Zensar We are a digital solutions and technology services company that partners with global organizations across industries to achieve digital transformation. With a strong track record of innovation, investment in digital solutions, and commitment to client success, at Zensar, you can help clients achieve new thresholds of performance. A subsidiary of RPG Group, Zensar has its HQ in India, and offices across the world, including Mexico, South Africa, UK and USA. Zensar is all about celebrating individuality, creativity, innovation, and flexibility. We hire based on values, talent, and the potential necessary to fill a given job profile, irrespective of nationality, sexuality, race, color, and creed. We also put in policies to empower this assorted talent pool with the right environment for growth. At Zensar, you Grow, Own, Achieve, Learn. Learn more about our culture: https: / / www.zensar.com / careers / who-we-are Ready to #ExperienceZensar? Begin your application by clicking on the Apply Online button below. Be sure to have your resume handy! If you re having trouble applying, drop a line to careers@zensar.com. Senior Generative AI Developer 7+YRS PUNE/HYDERABAD/BANGALORE Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work with? Welcome to Zensar! Read on for more details on the role and about us. Job Title: Senior Generative AI Developer Years of Experience : 7+ Years Position Overview: Zensar Technologies is seeking a highly skilled Senior Generative AI Developer with deep knowledge of Generative AI principles and expertise in Multi-Cloud Platforms (MCP), Agent-to-Agent (A2A) integrations, and related Google technologies. In this role, you will be responsible for developing and implementing cutting-edge AI solutions that meet the evolving needs of our clients. Key Responsibilities: Design, develop, and implement generative AI models and applications that leverage MCP and A2A frameworks. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for AI solutions. Optimize and fine-tune AI models for performance, scalability, and reliability. Integrate Google technologies and tools to enhance AI capabilities, including Google Cloud AI services, BigQuery, and TensorFlow. Conduct research and stay updated on the latest advancements in generative AI and cloud technologies. Collaborate with data scientists and machine learning engineers to ensure seamless integration of AI models into production environments. Develop and maintain documentation for AI solutions, including design specifications, user guides, and technical reports. Provide technical support and troubleshooting for deployed AI applications. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 7+ years of experience in software development, with a focus on AI and cloud technologies. Deep understanding of generative AI concepts, methodologies, and frameworks. Expertise in Multi-Cloud Platforms (MCP) and Agent-to-Agent (A2A) integrations. Proficiency in Google Cloud technologies, including Google AI Platform, BigQuery, and TensorFlow. Strong programming skills in languages such as Python, Java, or Go. Experience with AI model development frameworks and tools. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Preferred Qualifications: Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Familiarity with data engineering and ETL processes. Knowledge of security best practices in cloud environments. Relevant certifications in cloud technologies or AI. Advantage Zensar We are a digital solutions and technology services company that partners with global organizations across industries to achieve digital transformation. With a strong track record of innovation, investment in digital solutions, and commitment to client success, at Zensar, you can help clients achieve new thresholds of performance. A subsidiary of RPG Group, Zensar has its HQ in India, and offices across the world, including Mexico, South Africa, UK and USA. Zensar is all about celebrating individuality, creativity, innovation, and flexibility. We hire based on values, talent, and the potential necessary to fill a given job profile, irrespective of nationality, sexuality, race, color, and creed. We also put in policies to empower this assorted talent pool with the right environment for growth. At Zensar, you Grow, Own, Achieve, Learn. Learn more about our culture: https: / / www.zensar.com / careers / who-we-are Ready to #ExperienceZensar? Begin your application by clicking on the Apply Online button below. Be sure to have your resume handy! If you re having trouble applying, drop a line to careers@zensar.com.

Experience: 6+ years Timing: 1:00 PM to 10:00 PM IST WFO for 3 days and 2 days WFH About the Role: We are seeking an experienced Senior Java Engineer to join our dynamic technology team. The ideal candidate will have deep expertise in Java development alongside hands-on experience working with NodeJS, building MCP (Message Control Protocol) Servers, and implementing A2A (Application-to-Application) communication protocols. This role involves designing, developing, and maintaining scalable, high-performance applications that power critical business solutions. Key Responsibilities: Design, develop, and maintain robust, scalable Java applications and backend services. Architect and build MCP Servers to handle high-volume message processing and routing efficiently. Develop and implement A2A protocols for seamless communication between enterprise applications. Optimize application performance, scalability, and security. Troubleshoot, debug, and resolve production issues in a timely manner. Participate in code reviews, ensuring adherence to best practices and coding standards. Mentor junior developers and promote knowledge sharing within the team. Stay current with emerging technologies and recommend improvements to existing systems. Contribute to technical documentation and design specifications. Work with NodeJS to build supplementary microservices or APIs that integrate with Java backend systems. Must-Have Skills & Experience: 6+ years of professional experience in Java development with a strong understanding of core Java concepts, collections, concurrency, and JVM internals. Proven experience in building and managing MCP (Message Control Protocol) Servers or similar message processing frameworks. Strong knowledge of A2A communication protocols , including design and implementation. Hands-on experience with NodeJS development, including building RESTful APIs or microservices.

WHAT YOU WILL BE DOING Your daily to-do list will feature some or all of the following, but is not limited to: Learn fast, write faster. You ll work with product managers, engineers, and sometimes our CEO (he s cool) to grok complex topics and become a mini-SME in your own right. Write with the urgency of a prod server on fire. Blogs, docs, tutorials, thought leadership, memes (optional, but bonus points). All for a deeply technical audience that can smell BS from 1,000 lines away. Go deep. You ll get smart on everything from Kafka to Agent Mesh to why federation matters when managing APIs across distributed gateways. Then you ll translate that knowledge into clear, compelling, sometimes-even-fun content. Be the voice. You ll help shape how we talk to the developer community authentic, smart, a little weird, never dry. SEO, but not cringe. You ll understand what keywords matter and how to use them without making your writing sound like it was assembled by a committee of robots. Learn fast, write faster. You ll work with product managers, engineers, and sometimes our CEO (he s cool) to grok complex topics and become a mini-SME in your own right. ESSENTIAL SKILLS The right candidate will possess at least the following skills, if not more: You re excited to go from zero to semi-expert on a topic, and then teach the rest of the world what you learned. You have a technical background maybe you studied CS, maybe you were a developer, maybe you just enjoy source-diving open source projects for fun (you animal). You re a killer writer . Funny, clear, approachable, and willing to throw out that perfect sentence if it doesn t serve the reader. You re obsessed with explaining things . You find joy in the aha moment. You know enough about SEO to be dangerous and enough to not over-optimize to the point of unreadability. BONUS POINTS Nice to have, but not essential : You ve written developer docs, blog posts, or tutorials before even if it was just for your own blog, GitHub repo, or StackOverflow answers. You have strong opinions about SEO. You know what things like Kafka streaming, API management, agent-to-agent communication and MCP means and didn t just Google it after reading this job post. AT GRAVITEE, YOU LL GET Excellent medical coverage to keep your body and mind healthy 15 days holiday/vacation in addition to in-country national holidays 3 mental health days per year with an allowance toward a mood-boosting activity of your choice Birthday off to celebrate your dayLearn and grow with our professional development allowance to be used to benefit your career Quarterly outings and an annual off-site in an exciting location! Hybrid culture with options to go in to an office in one of our hubs Ability to work for one of the fastest-growing companies and alongside some of the most talented people in the API technology sector A meaningful, progressive, global company culture that is as fun as it is hardworking Endless growth opportunities

. 6+ years of experience with Salesforce Marketing Cloud technologies, especially experience with Interaction Studio (Personalization/MCP) Technical Expertise: In-depth knowledge of Salesforce Marketing Cloud Personalization and CDP/Data Cloud capabilities, features, and best practices

Hiring for Technical Support Associate (International Process) 5 Days working Rotational Shifts Both side cabs Location: Gurgaon / Noida Only Graduates can apply. HR Ridhi: 8178280056 HR Gurmukh: 9650005227 HR HR Deepali: 9650092537 Required Candidate profile Contact- HR Ridhi- 8178280056 HR Abhishek- 9211266657

Windows Admin Development of the Standard Operating Environment (SOE) for desktop and Servers platform Identification and analysis of Patches Identifying the impact of technical changes to or affecting the SOE to an operational level Provide 3rd line support to client support teams for the SOE when required Analytical and methodical approach to problem solving Effective communication skills in both verbal and written English Good organizational, interpersonal and documentation skills Very Client focused with regards to service delivery Self-driven and able to work by yourself or within a team Good troubleshooting skills (the ability to think logically through a problem) MCSE/MCP Certification in Windows An understanding of Software Deployment and Remote Support Tools Experience in Active Directory, Group Policy An understanding of Remedy EARS ServiceNOW or any such too Required Skills o MDT (Microsoft Deployment Toolkit) 2012/2013 o Desktop/Server Deployment Experience and/or SCCM experience