141 Mcp Jobs - Page 6

Hiring For Technical support executive Location- Gurgaon 5 days working, Rotational Both side cabs Graduate/Undergraduate Minimum 1 year tech exp in Troubleshooting/M365 Salary up to 8.50 LPA M365 Certification mandatory Mode of Interview- Virtual Required Candidate profile Contact- HR Ridhi- 8178280056 HR Abhishek- 9211266657

Role & responsibilities Co-Pilot Developer: Client is seeking a Co-Pilot Developer to support the design and deployment of intelligent automation across enterprise applications. This role will focus on building agentic solutions powered by Large Language Models (LLMs) to streamline workflows, improve user experience, and enhance productivity across departments. Key Responsibilities: Develop and deploy Microsoft Co-Pilot or Co-Pilot Studio solutions tailored to enterprise needs Familiarity with MCP (model context protocol) Automate movement and interaction between line-of-business applications, especially across HR and business systems Design agentic workflows to assist users in executing complex tasks using natural language Integrate with LLMs and APIs to enable intelligent, context-aware task completion Ensure smooth integration and deployment within Kyoceras enterprise environment Collaborate with stakeholders to identify automation opportunities and translate them into scalable Co-Pilot solutions Desired Skills and Experience: At least 1 year of hands-on experience with Co-Pilot development or similar LLM-based tools Familiarity with Microsoft 365, Power Platform, Azure, and enterprise integration patterns Strong background in LLMs, natural language processing, and API-based application design Experience building tools to automate workflows across HRIS, ERP, CRM, and other business systems Ability to work in a cross-functional setting, aligning technical solutions with business objectives.

We are looking for a highly hands-on Back-End Engineer with a strong foundation in Python , system design , and practical experience in building and deploying Agentic Generative AI systems . The ideal candidate is passionate about solving complex problems using LLMs , understands the architecture of modern AI agent frameworks like LangChain/LangGraph , and can deliver scalable, cloud-native back-end services with a GenAI focus. Key Responsibilities: Design and implement robust, scalable back-end systems for GenAI agent-based platforms . Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services. Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance. Leverage and extend frameworks like LangChain, LangGraph , and similar to orchestrate tool-augmented AI agents. Design and deploy systems in Azure Cloud , including usage of serverless functions, Kubernetes, and scalable data services. Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks. Implement inter-service communication using gRPC and REST. Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance. Optionally integrate and support legacy or industry-specific protocols like MCP and A2A . Python, FastAPI , distributed scalable microservices experience. Required Skills & Qualifications: 5+ years of hands-on back-end development experience in Python . Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving. Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django). Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools . 2+ years of hands-on experience in Generative AI systems and LLM-based platforms . Proven experience with system architecture , distributed systems, and microservices. Strong familiarity with Any Cloud infrastructure and deployment practices. Practical experience with event-driven architectures and streaming systems . Familiarity with gRPC , asynchronous programming, and modern API design. Nice to Have (Preferred): Experience with MCP (model context protocol) or A2A (Application-to-Application) integrations. Contributions to open-source projects or personal repos showcasing GenAI / agentic implementations. Understanding of MLOps and CI/CD practices for AI-driven systems. Prior experience with vector databases, RAG pipelines, or fine-tuning LLMs.

Role & responsibilities Responsibilities: • Design, develop, and maintain backend applications using Java, Spring Boot, and Microservices architecture. • Build UI components with Java Swing where needed. • Excellent knowledge in API implementations • Write unit tests with JUnit and Mockito to ensure high code quality. • Manage builds with Maven and automate CI/CD pipelines using Jenkins. • Use Git for version control and Jira for task management. • Deploy and manage applications on AWS (preferred) or other cloud platforms. • Integrate AI solutions leveraging Agentic AI concepts, MCP servers, and AI tools Preferred candidate profile Mandatory skills: "Java, Spring Boot , Microservices ,Any Cloud (Preferred AWS) , Agentic AI & MCP" Role: Java Backend Developer Key Skills Required: Java (8, 11, 21) • Spring (Core, Boot, MVC), Spring Boot Microservices • Hibernate • Maven • JUnit, Mockito • Jenkins, Git, Jira • Cloud (AWS preferred) • Agentic AI concepts, MCP Servers, AI Tools 5 years to 15 years,

Job Description AI Native Full Stack Developer (React & Python) Location: Hyderabad Office Location (India) Type: Full-time Experience: 6+ years About the Role: We are seeking a highly skilled, AI-native Full Stack Developer with expertise in React.js, Python, and modern AI frameworks . The ideal candidate will have a strong architectural mindset, be hands-on in building AI-driven applications , and have experience leading development teams in fast-paced environments, especially AI product startups. You will work on cutting-edge AI solutions using RAG (Retrieval-Augmented Generation) , LangChain , MCP servers, and the latest Generative AI tools, integrating them into scalable full-stack applications. Key Responsibilities: Architect, design, and develop full-stack AI applications using React.js (frontend) and Python (backend). Implement Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications. Work with LangChain , Vector Databases (Pinecone, Weaviate, FAISS, Milvus, Chroma), and MCP servers . Integrate payment gateways like Stripe with secure workflows. Lead a development team conduct code reviews, guide architecture, and mentor junior developers. Collaborate with product managers, data scientists, and AI engineers to translate business requirements into technical solutions. Optimize application performance, scalability, and security. Stay up-to-date with the latest AI development trends, tools, and best practices . Required Skills & Technologies Frontend: React.js (Hooks, Context API, Redux, Next.js is a plus) TypeScript / JavaScript (ES6+) TailwindCSS / Material UI Responsive design & UI/UX best practices Backend: Python (FastAPI, Flask, Django) RESTful APIs & GraphQL Database Design (SQL: PostgreSQL/MySQL; NoSQL: MongoDB) Microservices architecture AI & ML: LLM Integration (OpenAI, Anthropic, Azure OpenAI) LangChain, Haystack, LlamaIndex Retrieval-Augmented Generation (RAG) Vector Databases: Pinecone, Weaviate, FAISS, Chroma Prompt Engineering & AI Workflow Automation Experience with Cursor & GitHub Copilot for AI-assisted coding DevOps & Cloud: AWS / GCP / Azure (AI services experience preferred) Docker, Kubernetes CI/CD Pipelines (GitHub Actions, GitLab CI, Jenkins) Other Skills: Stripe payment gateway integration Authentication & Authorization (OAuth2, JWT, SSO) Git & version control best practices Strong problem-solving, analytical & architectural skills Excellent communication & team leadership Preferred Qualifications Prior experience in AI product startups Familiarity with MCP servers & GenAI frameworks Experience in designing scalable multi-tenant SaaS applications Knowledge of streaming APIs & real-time communication (WebSockets, Socket.io) Why Join Swayam/Incepteo? Incepteo is a digital and AI innovation partner with a presence across the UK, India, USA, and Europe. Youll be joining a fast-growing company that brings together startup agility with enterprise-grade delivery standards. At Incepteo, we believe in ownership, collaboration, and making ideas come alive.

Role: Lead the strategy, design, and launch of AI-powered features in our Enterprise CMMS platform to improve asset reliability, reduce downtime, optimize maintenance schedules, and drive operational efficiency. Bridge AI/ML capabilities with real-world maintenance challenges to deliver measurable ROI for industrial clients. Key Responsibilities: 1) Define and own the AI product roadmap for CMMS. 2) Identify high-value AI use cases (predictive maintenance, RUL, spare optimization, work order automation). 3) Convert maintenance pain points into AI feature requirements. 4) Collaborate with engineers, data scientists, and UX teams for delivery. 5) Track adoption, performance, and business impact of AI features. 6) Ensure ethical, accurate, and explainable AI deployment. Engineering Degree required from premier institutes (Mandatory). MBA degree is an advantage 3-5 years of experience in AI, Product Management, Agentic, Plant Maintenance, Asset Management. Prior experience in Product Management, AI initiatives will be advantageous.

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

Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. Primary Responsibilities: The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery With every role in the company, each position has a requirement for building quality into every output This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways Basic, structured, standard approach to work Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Graduation 3+ years of experience in Python 2+ years of experience in AI ML Cloud Platforms: Hands-on experience with GCP, Azure, or AWS for deploying AI applications Containerization and Orchestration: Experience with Docker and Kubernetes Database Expertise: Knowledge of vector databases (e.g., Redis, ChromaDB) and traditional SQL & NoSQL databases Generative AI Tools: Familiarity with LLMs, Google ADK, Anthropic MCP, and multi-agent frameworks AI Expertise: Solid understanding of classical ML, deep learning, and Generative AI technologies Programming Languages: Proficiency in Python and experience with FastAPI (asynchronous implementation) Logging Tools: Proficiency in Splunk for logging and diagnostics Performance Optimization: Proven ability to conduct performance testing and optimize backend systems Preferred Qualifications: Experience in prototyping and deploying AI-driven applications in production environments Knowledge of ReAct frameworks for multi-agent AI systems Familiarity with CI/CD pipelines and DevOps practices Understanding of ethical AI practices and governance frameworks Proven solid problem-solving skills and ability to address challenges in cloud deployment and backend optimization

Key Responsibilities Synthetic Data Generation & Quality Assurance Design and implement scalable synthetic data generation systems to support model training Develop and maintain data quality validation pipelines ensuring synthetic data meets training requirements Build automated testing frameworks for synthetic data generation workflows Collaborate with ML teams to optimize synthetic data for model performance APIs & Integration Develop and maintain REST API integrations across multiple enterprise platforms Implement robust data exchange, transformation, and synchronisation logic between systems Ensure error handling, retries, and monitoring for all integration workflows Data Quality & Testing Implement automated data validation and testing frameworks for ETL and synthetic data workflows Translate data quality feedback from stakeholders into pipeline or generation process improvements Proactively monitor and maintain data consistency across systems Multi-System Integration & MCP Development Build and maintain tool registries for Model Control Protocol (MCP) integration across multiple enterprise systems Develop robust APIs for multi-system communication through MCP frameworks Design and implement workflows that coordinate multi-system interactions Ensure reliable data flow and error handling across distributed system architectures Cross-Functional Collaboration & Production Integration Partner with domain specialists to translate plan execution feedback into actionable insights Work closely with Product Managers to align synthetic data generation with business requirements Collaborate with Core Engineering teams to ensure seamless production deployment Establish feedback mechanisms between synthetic data systems and production environments Required Qualifications Technical Skills Programming: Proficiency in Python, Typescript (optional) Data Engineering: Experience in data engineering frameworks and libraries (Pandas, Apache Airflow, Prefect) APIs & Integration: Strong background in REST APIs and system integration Databases: Experience with relational and NoSQL databases (PostgreSQL, MongoDB) Cloud Platforms: Hands on experience with AWS/GCP/Azure Experience Requirements 2+ years experience in building production-scale data pipelines and orchestration systems Demonstrated success in cross-functional collaboration in technical environments Preferred Qualifications Familiarity with managing Kubernetes-based production workloads and workflow orchestration (Argo) Familiarity with containerisation and orchestration with tools like Docker, Kubernetes etc. Familiarity with synthetic or large-scale data generation Background in enterprise software integration Experience with Model Control Protocol (MCP) or similar orchestration frameworks Knowledge of automated testing frameworks for data pipelines What We Offer Lots of learning many systems are being built from the ground up, with no existing references or open-source projects to rely on. This will be the first time not just for you, but for the industry as well. Opportunity to work at the forefront of enterprise-scale synthetic data generation Collaborative environment with product teams, engineering, and domain specialists Competitive compensation and comprehensive benefits Professional development opportunities in cutting-edge data engineering and Kubernetes orchestration Team Structure You'll report to the AI Engineering Lead and work closely with: ML Engineers developing foundation models Product Managers defining business requirements Product Specialists providing domain expertise Backend Engineers handling production infrastructure This role offers significant impact on our data capabilities and the opportunity to shape how we generate and utilize synthetic data for training enterprise systems.

Were looking for a skilled Generative AI Developer to build agentic AI solutions using Dify.ai or similar platforms (LangChain, LlamaIndex, Haystack). Youll design and implement intelligent, autonomous AI agents and workflows that solve real business problems. Key Responsibilities Develop agentic AI workflows with Dify.ai, LangChain, or LlamaIndex Build and integrate autonomous AI agents and RAG pipelines with vector databases (Milvus, Pinecone, Qdrant, FAISS, Weaviate) Integrate LLMs (GPT, Claude, LLaMA, Mistral, Gemini, etc.) into business solutions Extend platforms via APIs, plugins, and custom backend logic (Python) Collaborate with product and engineering teams to deliver scalable AI applications Deploy solutions with Docker (Kubernetes a plus) Required Skills 4 to 9 years in software engineering or AI/ML development Practical experience with agentic AI workflows (Dify.ai, LangChain, LlamaIndex, Haystack, etc.) Strong Python skills; experience with vector databases & RAG Familiarity with React or TypeScript (for UI/workflows) API integration and deployment with Docker

Experiments with agent orchestration, prompt engineering, and protocol-level AI interaction.

GenAI lead Exp: 10-14years Location: Mumbai Skills Required: AgenticAI, MCP Basic Qualifications 6+ years of professional experience in backend development and ML/GenAI engineering using Python. Strong proficiency in Python, object-oriented programming, and GenAI frameworks. Familiarity with agent communication protocols and multi-agent systems, including MCP (Multi-agent Communication Protocols). Experience with AI tools and libraries, such as Hugging Face, LangChain, or OpenAI APIs. Familiarity with RESTful API design and implementation. Experience with relational databases such as MySQL, PostgreSQL, or Oracle. Proficient in version control systems such as Git. Strong problem-solving skills and attention to detail. Experience with Docker for containerization and deploying ML services. Familiarity with microservices architecture and designing scalable AI-powered applications. Familiarity with developing, training, deploying, and maintaining machine learning models, including LLMs (Large Language Models). Preferred Qualifications Generative AI: Hands-on experience and deep understanding of Generative AI technologies, including LLMs (e.g., GPT, Llama, etc.), and their applications. Expertise in prompt engineering, model fine-tuning, and evaluation of AI/ML models. Familiarity with orchestration frameworks and agent-based architectures. Experience using and integrating cutting-edge AI tools and platforms. Innovation: Ability to think creatively about applying AI/ML (including GenAI and LLMs) to drive business value and innovation, particularly within the payment technology or fintech space. Strong communication skills and experience collaborating in cross-functional teams. Knowledge of best practices for responsible AI, model monitoring, and ethical considerations in AI deployment.

Role & responsibilities Machine Learning, Data Science, Model Customization [4+ Years] Exp with performing above on cloud services e.g AWS SageMaker and other tools AI/ Gen AI skills: [1 or 2 years] MCP, RAG pipelines, A2A, Agentic / AI Agents Framework Auto Gen, Lang graph, Lang chain, codeless workflow builders etc. Preferred candidate profile Build working POC and prototypes rapidly. Build / integrate AI driven solutions to solve the identified opportunities, challenges. Lead cross functional teams in identifying and prioritizing key business areas in which AI solutions can result benefits. Proposals to executives and business leaders on broad range of technology, strategy and standard, governance for AI. Work on functional design, process design (flow mapping), prototyping, testing, defining support model in collaboration with Engineering and business leaders. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Relevant IT Experience: - 10+ years of relevant IT experience in given technology

Key duties and responsibilities Serve as the single point of contact for end User ICT requests and support issues. Respond to IT requests from all emails, portal, and telephone within the agreed targets. Log and assign all IT requests and work requests accurately in the Apex IT ticketing system. Perform troubleshooting and initial diagnostics of assigned IT tickets, including remote connection to end user devices using remote access tools. When required assign tickets to the relevant team member or external IT suppliers and liaise with the resolver until completion. Communicate clearly to users in a timely and polite manner and keep the end user informed of the progress of IT requests at all appropriate times. Follow standard operating procedures (SOPs) forincident management. Manage creation, modification, and deletion of users account management (FTP, Active Directory, file permissions) andperform clean-up projects of user profiles, files, email accounts. Supporting application such as Microsoft Lync/Skype for Business, conferencing tools such as GoToMeeting, Microsoft Outlook and email archiving tools. Highlight and report all major IT issues and risks to Service Manager in a timely manner. Research, test and implement new systems to improve efficiencies and satisfy user requests. Provide basic PC installations and configuration tasks. Provide on site support when required in Apex offices (may require travel). Other duties in support of the Service Desk, as assigned by the Service Manager, TLs. Experience and skills 2-3 years experience in a computer related support or and IT operational environment. A recognised third level qualification in a computer related discipline. One or more recognised industry certification in PC, Network and Server support (Comptia A+, Server +, Network +, MCP in Windows 7/8/10); Good written and communication skills in English. Experience with documentation and improving SOPs and other process documents. Good customer focus, and excellent time-keeping is a key requirement of the role. Good interpersonal skills, with a focus on listening and questioning skills. Good problem-solving abilities and ability to work under own initiative; Maintain adequate knowledge of operating systems and application software in use in Apex. Familiarity with or a willingness to learn the fundamental principles of ITIL Service Management. Experience with configuring and supporting any version of Windows Desktop (7, 8,10); Experience in virtual desktop environment desirable, particularly CITRIX XenDesktop/XenApp, Azure, AWS. Experience with configuring and supporting Microsoft Office 2013/2016 and/or Office 365. Good Experience in active directory, User Management. Customer support experience in Global Service Desk on call. Some basis experience with supporting physical networking is desirable but not essential. Experience with Ticket Tool, Fresh Service , Service Now (SNOW). 24/7 Work.

Windows experience 4-5 Years (All Windows Server and Workstation) Linux experience 2-3years (Centos, RHEL, Suse) Intermediate to expert level in GPO, Login Script, DHCP, DNS, AD/LDAP, WDS system integration. Complete understanding of Windows Active Directory and Administration. Beginner to intermediate level with automated rendering systems (Qube!, Rush, Muster, Smedge, Deadline, etc) Beginner to intermediate level in windows shell scripting and python Bachelor of Science in Business Administration, Computer Information Systems, or related field. Microsoft Certified System Engineer (MSCE), MCP is must. Other certifications like RHCE, CCNA etc is plus. 4-5 years experience working and maintaining servers, network switches, computer hardware and software, email, and phone systems. Hands on experience of managing 200+ workstation is plus. Flexibility to work extended hours and/or weekends to meet project deadlines.

About Us Testing Mavens is a next-generation QA & Software Testing Services provider headquartered in New Jersey, USA, with offshore facilities in India. We have deep expertise in various spheres like Finance and Advisory, EdTech, Fashion and Pharmacy, etc. We partner with massive global brands to deliver excellent testing experience. Looking for an AI Engineer to build autonomous AI agents using cutting-edge frameworks and protocols. Focus on agentic AI systems, MCP servers, and multi-agent orchestration. Required Skills: 5+ years of professional software engineering experience in AI/ML and hands-on experience in agentic systems Expert-level proficiency in Python, asynchronous programming, and prompt engineering Production experience with MCP servers, protocols, SDKs, and standardized tool interfaces Hands-on experience of agent frameworks: LangGraph, CrewAI, AutoGen, LangChain, OpenAI Agents SDK Strong experience with RAG architectures, embeddings, and vector DBs (Pinecone, Qdrant, FAISS, Chroma) Familiarity with monitoring tools such as LangSmith, evaluation frameworks Responsibilities: Develop, and deploy autonomous agentic systems with multi-step reasoning, planning, and memory Design MCP-based servers and client interfaces linking LLMs to external tools and data Orchestrate multi-agent workflows using frameworks like AutoGen, CrewAI, and LangGraph Develop and secure tool-calling function execution environments under MCP specifications Implement robust planning and memory subsystems backed by vector retrieval and semantic indexing Integrate agents with enterprise APIs, production infrastructure, and external tools Embed standards for observability, safety, and responsible AI in multi-agent pipelines Preferred Qualifications: Multi-modal AI experience (vision, audio, structured data) Experience in RLHF, reward modeling. Experience with observability tools (LangSmith, TruLens) or enterprise LLM evaluation Your Quality Gatekeepers, Partner with us today.