141 Mcp Jobs - Page 2

Dear Candidate, Interview will be virtual, share updated CV with us. Early joiners will be preferred. Interview will be of 45 minutes. Project experience on Agentic AI is must. Share below details. Current CTC: Expected CTC: Notice period: Current and preferred location: Total and relevant exp: Current payroll company: Relevant exp in MCP/agentic AI/langchain/crewAI/langgraph: Your Role Experiences with LLM, pref Llama. RAG; fine tuning; agent to agent communication & Integration. Good to have small models like Phi Good Communication Offshore based developer with above skills Your Profile Experiences with LLM, pref Llama. RAG; fine tuning; agent to agent communication & Integration. What you'll love about working here We recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programs in the latest technologies such as Agentic AI

You are a proactive and technically skilled Salesforce Marketing Cloud Personalization (MCP) Associate with over 1 year of relevant experience. You hold a certification in MCP and possess a solid understanding of personalization strategies, campaign execution, and web integration utilizing Salesforce tools. Your responsibilities include managing sitemap and dataset creation, deploying WebSDK, overseeing catalog and content zone management, creating attributes, executing web campaigns, and handling data through import/export, ETL feed creation, and segment setup. You are proficient in Email and Mobile Push channels, with knowledge of real-time recommendation engines and personalization strategies such as next best action. Your expertise extends to JavaScript, jQuery, and TypeScript. Additionally, you excel in communication, collaboration, and have a good grasp of digital marketing principles and website marketing strategies. Familiarity with Salesforce Marketing Cloud Studios is highly desirable. This is a full-time, permanent position with benefits including health insurance, paid sick time, paid time off, and Provident Fund. The work schedule is during day shifts from Monday to Friday with rotational shifts. Performance bonuses and yearly bonuses are part of the compensation package. You must have at least 1 year of experience in MCP, JavaScript, and TypeScript. Possession of MCP certification is mandatory. The work location is in Mohali, Punjab, and you must be able to commute or plan to relocate before starting work. Work is conducted in person at the Mohali, Punjab location.,

Job Title: AI Technical Lead (Generative AI / Solution Architect) Location: Chennai Experience: 7 to 12 Years Employment Type: Full-Time | [Hybrid] ID : 25846 Job Description We are hiring an AI Technical Lead to design, build, and integrate Generative AI-based enterprise solutions . The candidate will act as a Technical Lead & Solution Architect , driving design, development, and delivery of AI-powered applications with a focus on scalability, integration, and performance. Responsibilities Lead design and solutioning of Generative AI use cases to enhance IT productivity. Work with Enterprise / Solution Architects, BA, and PO to translate requirements into solutions. Define technical specifications Data models, RESTful APIs, UI behavior, integration patterns. Drive full-stack development (Spring Boot / Python + React / Angular). Ensure scalable deployments with Kubernetes and CI/CD pipelines . Mentor junior team members, conduct code reviews, and enforce best practices. Explore optional AI capabilities MCP servers, autonomous agents . Support innovation, performance optimization, and continuous improvement. Required Candidate Profile 7+ years of IT experience, with: Min. 3 years as Developer Min. 2 years as Technical Lead / Solution Architect Hands-on experience delivering at least 1 AI-powered application Full-stack skills Java/Spring Boot or Python, React or Angular . Strong knowledge of Kubernetes, CI/CD, DevOps pipelines . Good understanding of Generative AI concepts and integrations . Masters in Computer Science, AI, or equivalent. Excellent interpersonal and communication skills. Good to Have Azure AI certifications (Azure AI Engineer Associate or equivalent). Knowledge of MCP servers / autonomous AI agents. Interview Process L1 Technical Round: Virtual (MS Teams) L2 Technical + Managerial Round: Face-to-Face at client location Interested? Share your CV at muthukrishnan.saminathan@kiya.ai Contact: +91 6369929072

Gurucul is seeking an innovative analytics thinker for the role of Data Scientist to be part of Gurucul?s Data Science team. The candidate will be a key individual contributor, responsible for the design and development of predictive models using the latest technologies in machine learning. The ideal candidate will have previous experience in the cybersecurity domain, analyzing large data sets to develop actionable analytics solutions. The candidate must also have experience in developing business intelligence solutions to improve operational efficiency, and in using data visualization tools to help in building visualization ideas to present the results to management teams. The individual will be responsible for the creation of data models that can be applied for a variety of cybersecurity and fraud use cases. The ideal candidate must be able to pick suitable analytic techniques to address the problem and demonstrate expertise in using various algorithms and other modeling techniques. The individual will report directly to Gurucul?s CTO. This position will also provide candidates the opportunity to interact with some of the best brains in information security space, such as Fortune 500 C-level executives, showcase their skills and passion as a Data Scientist in the cybersecurity analytics field. RESPONSIBILITIES Architect, develop, and deploy state-of-the-art predictive and generative AI models for cybersecurity and fraud detection Design and implement end-to-end LLM-based pipelines?including prompt engineering, embedding generation, vector search, and retrieval-augmented generation. Design and deploy autonomous AI agents that orchestrate end-to-end workflows-automating threat hunting, incident triage etc. using custom agent architecture. Build robust data-processing workflows that handle high-velocity streaming and batch data (billions of daily events) Select and tune appropriate supervised and unsupervised algorithms (e.g., classification, clustering, anomaly detection) to address diverse security challenges Collaborate with offshore and onshore engineering teams to integrate models into production systems and APIs Rapidly iterate with product managers and stakeholders on prototypes, proofs-of-concept, and interactive dashboards Translate complex analyses into clear data visualizations and executive summaries using BI and front-end visualization tools Mentor junior data scientists and share best practices in model development, evaluation, and deployment Requirements MSMS or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field 5+ years of hands-on experience in applied analytics, predictive modeling, or machine learning?ideally within a cybersecurity or financial-fraud context Proven track record with both classical ML (e.g., SVMs, decision trees, regression, clustering) and modern deep-learning/LLM frameworks Practical experience designing and deploying LLM-driven solutions (prompt design, fine-tuning, embeddings, vector stores, RAG, MCP Server). Knowledge of finetuning LLM models and MCP Server is a plus. Proven experience designing, developing, and deploying autonomous AI agents and orchestration workflows (e.g., with LangChain or similar frameworks). Strong programming skills in Python (including popular ML libraries), plus experience with UNIX scripting (Bash, Perl) Proven expertise in MySQL, including advanced query authoring, performance tuning (indexes, EXPLAIN plans), stored-procedure development, and database schema design. Familiarity with big-data ecosystems (e.g., Spark, Hadoop) and multiple database technologies Solid understanding of reinforcement-learning concepts is a plus Excellent problem-solving skills, initiative, and ability to juggle multiple projects in a fast-paced environment Exceptional oral and written communication skills, with the ability to convey technical concepts to non-technical audiences

IMEA (India, Middle East, Africa) India LIXIL INDIA PVT LTD Employee Assignment Not remote Full Time 2 July 2025 About The Role In Project Sales you will drive lead generation, foster client relationships, oversee team management, achieve sales targets and maintain customer satisfaction through effective customer-centric operations, What Youll Do Lead Generation, Project Pipeline & Payments realization, Build relationships with Interior Designers / Architects / Fabricators / Customers to drive sales initiatives to achieve business goals, Identify new clients and generate business from existing clientele to achieve business targets, Maintain relationships with customers to achieve repeat/ referral business, Manage customer-centric operations & ensure customer satisfaction by achieving delivery/ service quality norms, What Youll Need Preferable similar industry (Building material industry) Having Min 3-4 Yrs of experience in project business Good Connect with Builders, Architects and plumbers Willing to travel frequently

Position CCNA & Linux Trainer Location: Hadapsar Job Type: Full Time Experience Required: 2-8 Years Industry: Education / Training / IT Services Job Description: Faculty is responsible for the coordination, planning, presentation, and evaluation of classroom instruction and related activities during the time assigned at the center. at a minimum the related activities include instruction, instructional counselling, academic advising and in house/college workshops and presentations. Responsibilities and Duties: 1. Responsible to start lectures on scheduled time post marking the attendance. 2. Responsible to conduct lectures as per the log sheets and ensure that the modules are completed as per the schedule. 3. Responsible for student conduct and classroom administration. 4. Responsible for handing over daily assignments to students; ensure students complete their journal and project work within stipulated time frame. 5. Responsible to send student progress reports with specified period. 6. Responsible for maintaining lab register on a daily basis. 7. Responsible to conduct all course modules. 8. Responsible for imparting training to Junior Faculty on higher modules to ensure their upgradation. 9. Responsible for conducting internal exams. 10. Responsible for maintaining LMS on daily/monthly basis. 11. Responsible for batch scheduling and tracking. 12. Motivate students for upgrades and appearing for International Certifications. 13. Conduct Teacher Parents Meet 14. Responsible for Lab maintenance and Equipment's. AWS Cloud will be an added advantage. interested candidates drop their CVs on gkhandale@sevenmentor.com OR calls/WhatsApp 7387385189

API Developer Req number: R6034 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are seeking an Application Developer who offers end-to-end solutions and technical expertise to help improve businesses to meet ever-changing demands in the market. This is a Full-time and Hybrid position. Job Description What You’ll Do Architect and implement a scalable, reusable API framework to integrate enterprise-wide systems. Partner with cross-functional teams Database, AI, high-code, infrastructure, and low-code to own the full SDLC and ensure top-quality delivery. Champion innovation each quarter by proposing new ideas and building proof-of-concepts ; make sure they are aligned with business objectives. Take end-to-end ownership of deliverables, anticipating challenges and proactively mitigating risks. Adapt quickly and continuously learn new tools and technologies. Work as an API developer to fulfill requirements driven by business requirements. Should own the full API Lifecycle, keep track of API usage, versions and decommission/deprecate the one not being used. Understanding of integration between various applications using platforms such as MuleSoft Any point Platform, Logic App, Azure API Management. Keep track of recent product features/announcements. Support applications with an understanding of system integration, test planning, scripting, and troubleshooting. What You'll Need Should have experience working in On-premises, AWS, Azure cloud services and have understanding of different deployment topologies. Experience working in API gateway platforms such as MuleSoft Flex Gateway, APIGEE, Azure API Management. Should have experience in applying/govern security policies. Proficient in designing and implementing comprehensive unit and API testing using Nunit and Robot Framework. Understanding of AI agent architecture terminologies such as RAG, MCP, A2A and their usages in automating workflows and enabling AI-assisted software development. Foundational knowledge of MCP (Model Context Protocols), A2A (Agent to Agent)/ACP protocols for securely exposing MCP and A2A specification for web applications to consume. Experience in API layer like security, custom analytics, throttling, caching, logging, monetization, request, and response modifications etc. Experience in creating REST API documentation using Swagger and YAML or similar tools desirable Experience with Security frameworks (e.g., JWT, OAUTH2) for securing APIs with Open ID connect and Multi factor Authentication. Experience with Azure DEVOPS is plus. Keen interest in exploring cloud technologies (AWS & Azure). Excellent communication, interpersonal and presentation skills Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Druva is the leading provider of data security solutions, empowering customers to secure and recover their data from all threats. The Druva Data Security Cloud is a fully managed SaaS solution offering air-gapped and immutable data protection across cloud, on-premises, and edge environments. By centralizing data protection, Druva enhances traditional security measures and enables faster incident response, effective cyber remediation, and robust data governance. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva safeguards business data in an increasingly interconnected world. Visitand follow us on,and. Developer eXperience (DX)is a central charter within Druva responsible for providing Druva engineering an enhanced developer experience to empower them to build Druva's world class products. To provide such an experience, the DX team primarily endeavours to reduce the engineer's cognitive load by providing best in class developer environments, build systems, CI/CD tooling, hybrid cloud environments for developer workload verifications, observability, telemetry, AI enablement for developer productivity and more. DX team is responsible for delivering best-in-class DX products for Druva's engineering teams using cutting edge technology stacks. We are seeking aSenior Staff Software Engineerto join ourDeveloper Experience (DevEx) team. In this role, you will be instrumental in enhancing the experience of developers within our company. You will be an integral part of the team that is involved in the development of tools, processes, and systems that improve the development workflow, from local development environments to continuous integration/continuous deployment (CI/CD) pipelines, AI enabled developer workflows and enhance our product's overall usability. The ideal candidate will have strong experience in software engineering, a passion for improving developer workflows, and a deep understanding of how to make development environments efficient, scalable, and enjoyable. Key Responsibilities: Tooling & Infrastructure Development: Design and develop tools, libraries, and frameworks to improve developer workflows, including build systems, CI/CD pipelines, debugging tools, and deployment automation using AI first approaches. Improve Developer Productivity: Identify pain points in the development lifecycle and implement solutions that enhance efficiency, code quality, and deployment speed. Collaboration with Teams: Work closely with product engineers, DevOps, and infrastructure teams to ensure smooth integration and optimization of developer-facing platforms. Platform Usability: Build tools and interfaces that enable engineers to efficiently interact with the core product. Work to ensure that the developer experience is frictionless and scalable. Documentation & Training: Write clear and comprehensive documentation to help developers understand and make the best use of the tools and systems you create. Provide training and support for internal teams. Advocate for Best Practices: Champion best practices in coding standards, testing, version control, and other areas of developer productivity. Ensure continuous feedback loops from engineering teams to improve practices and processes. Performance Monitoring & Optimization: Build and maintain monitoring systems to ensure the health of the developer tools and infrastructure, identifying opportunities for optimization and performance improvements. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. 5 to 7 years of professional software development experience. Strong proficiency in programming languages such as Python, Go or . Strong understanding of Cloud technologies with demonstrated experience in AWS and/or Azure clouds. Experience in building and maintaining scalable developer tools, CI/CD pipelines, and/or cloud-based infrastructure. Hands-on experience with developer tooling and frameworks such as GitHub, GitLab, Jenkins, Terraform, and other modern DevOps tools. Experience in Generative AI based developer tools like IDEs, prompt engineering, MCP and Agentic AI will be an added advantage. Expertise in enhancing developer workflows and optimizing toolchains to improve developer productivity. Strong problem-solving skills and ability to work with complex systems and architectures. Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical audiences. Preferred Qualifications: Experience with SaaS product development and architecture. Solid understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with microservices, serverless architecture, and distributed systems. Familiarity with Generative AI Technologies, LLMs, MCP and Agentic AI landscape. Knowledge of security best practices related to developer tools and CI/CD pipelines. Contribution to open-source projects, particularly those related to DevEx or cloud infrastructure. Experience with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog). Why You'll Love Working Here: Impact: You will have the opportunity to shape the development experience for a growing and dynamic engineering organization. Innovation: Work on cutting-edge technologies and solve challenging problems in an agile, fast-paced environment. Culture: Join a diverse, supportive, and inclusive team that values collaboration and creativity. Growth: We provide opportunities for professional growth, learning, and leadership development. Flexibility: We offer flexible working hours and a hybrid environment to help you achieve work-life balance.

Education: BE / B.Tech / Any Graduation or above / M.Tech Experience: 3 to 5 years of experience in full backend development. Key Responsibilities: Design (swagger) and develop scalable, reusable APIs that meet evolving business needs, with an emphasis on security, performance, and maintainability: Deep understanding of RESTful API standards and microservices architecture. Proficiency in backend programming languages such as Python, Javascript, Experience with API testing tools (e.g., Postman, Apigee) and API management platforms. Experience with APIM Snaplogic/MuleSoft is strongly preferred. Strong knowledge of cloud services (e.g., AWS, Azure, Google Cloud) and associated deployment strategies. Familiarity with API security measures, including authentication (OAuth, JWT) and authorization protocols. Manage code repositories and deployment pipelines using Git or Gitlab with tools like IntelliJ. Design and implement backend solutions by leveraging Snaplogic pipelines, Neo4j for knowledge graph integration, and Kafka for real-time data streaming. Experience with API lifecycle management and familiarity with MCP layer architecture for AI enablement is highly desirable. Oversee the deployment process and ensure smooth integration with existing systems, working closely with system owners to align API implementations with core system capabilities and constraints. Collaborate with business analysts to translate requirements into actionable backend solutions. Assist in the creation and maintenance of comprehensive documentation, including API specifications, user guides, and system integration details. Advocate for and implement best practices in code reusability and system integration. Facilitate communication between the API development team and system owners to resolve technical issues and align development objectives. Required Qualifications: Proficiency in programming languages such as Python, Java, or .NET. Experience with API security measures, authentication, and authorization protocols. Strong knowledge of RESTful API standards and best practices. Familiarity with cloud services (AWS, Azure, Google Cloud) and API management and testing tools (i.e. Snaplogic, MuleSoft, Azure, Postman, Apigee). Experience with modular architecture or composable systems. Understanding of data governance and API cataloging. Preferred Qualifications: Experience working in AI/ML-enabled environments. Exposure to enterprise integration strategies or customer-centric platforms. Familiarity with agile development methodologies. Knowledge about Change and Release management. Ability to understand multi-tier architecture. Collaborate with cross-functional team members to refine and optimize application functionality and design. Participate actively in team planning, implementation, and review sessions to align project goals and development priorities. Assist in creation and maintenance of comprehensive documentation, including API specifications, code references, and user guides to support the organizations modular architecture and integration strategies. Strong problem-solving skills, attention to detail, and ability to manage multiple project tasks effectively.

":" Role Overview: We are seeking talented GenAI / Agentic AI Engineers with 25 years of overall experience in AI/ML, including 12 years of hands-on expertise in Generative AI and agentic AI systems. This role focuses on designing, building, and deploying autonomous AI agents and generative AI solutions for enterprise applications. Key Responsibilities: 1. Design, build, and deploy autonomous AI agents using agentic AI frameworks. 2. Implement generative AI solutions tailored for enterprise applications. 3. Apply prompt engineering and context engineering techniques to enhance agentic AI system performance. 4. Integrate AI agents with external applications using MCP, tools, and APIs. Requirements Required Skills & Qualifications 1. 25years of overall experience in AI/ML, with 12 years in Generative and AgenticAI. Proficient in prompt engineering andcontext engineering. 2. Proficiencyin Python/Java-based AI libraries for developing GenAI applications. Experiencein agentic AI systems such as autonomous agents, multi-step reasoning, and toolorchestration. 3. Hands-onexperience with frameworks like LangGraph, LangChain, AutoGen, CrewAI, andGoogle ADK. 4. Experienceworking with vector databases. 5. Experienceimplementing retrieval-augmented generation (RAG) pipelines. 6. Hands-onexperience with Kubernetes and Docker. 7. Experienceworking with SQL and NoSQL databases. 8. Familiaritywith public cloud platforms such as Azure, GCP, or AWS. ","Work_Experience":"2-5 years","Job_Type":"Full time" , "Job_Opening_Name":"GenAI / Agentic AI Engineer" , "State":"Maharashtra" , "Country":"India" , "Zip_Code":"411001" , "id":"86180000008188629" , "Publish":true , "Date_Opened":"2025-08-26" , "Keep_on_Career_Site":false}]);

Job Requisition ID # 25WD90121 Position Overview Are you a problem solver who thrives on building real-world AI applications Do you geek out over LLMs, RAG, MCP and agentic architectures Want to help shape a brand-new team and build cool stuff that actually ships If so, read on. We're building a new Applied AI team within Autodesk's Data and Process Management (DPM) group. As a Founding Principal Engineer, you'll be at the heart of this initiative - working in a highly dynamic environment, designing, building, and scaling AI-powered experiences across our diverse portfolio providing critical Product Lifecycle Management (PLM) and Product Data Management (PDM) capabilities to our customers. You'll work on real production systems, solve hard problems, and help define the future of AI at Autodesk. Responsibilities: . Build AI-powered Experiences: Architect and develop production-grade AI applications that are scalable, resilient & secure . Shape AI Strategy: Help define the AI roadmap for DPM by identifying opportunities, evaluating emerging technologies, and guiding long-term direction . Operationalize LLMs: Fine-tune, evaluate, and deploy large language models in production environments. Balance performance, cost, and user experience while working with real-world data and constraints . Build for Builders: Design frameworks and tools that make it easier for other teams to develop AI-powered experiences . Guide Engineering Practices: Collaborate with other engineering teams to define and evolve best practices for AI experimentation, evaluation, and optimization. Provide technical guidance and influence decisions across teams . Drive Innovation: Stay on top of the latest in AI technologies (e.g. LLMs, VLMs, Foundation Models), Architecture Patterns such as fine-tuning, RAG, function calling, MCP and more-and bring these innovations to production effectively . Optimize for Scale: Ensure AI applications are resilient, performant, and can scale well in production . Collaborate Across Functions: Partner with product managers, architects, engineers, and data scientists to bring AI features to life in Autodesk products Minimum Qualifications: . Masters in computer science, AI, Machine Learning, Data Science, or a related field . 10+ years building scalable cloud-native applications, with 3+ years focused on production AI/ML systems . Deep understanding of LLMs, VLMs, and foundation models, including their architecture, limitations, and practical applications . Experience fine-tuning LLMs using real-world datasets and integrating them into production systems . Experience with LLM related technologies including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, MCP, in production settings . Deep understanding of data modeling, system architectures, and processing techniques . Experience with AWS cloud services and SageMaker Studio (or similar) for scalable data processing and model development . Proven track record of building and deploying scalable cloud-native AI applications using platforms like AWS, Azure, or Google Cloud. . Proficiency in Python or TypeScript . You love tackling complex challenges and delivering elegant, scalable solutions . You can explain technical concepts clearly to both technical and non- technical audiences Preferred Qualifications: . Experience building AI applications in the CAD or manufacturing domain. . Experience designing evaluation pipelines for LLM-based systems (e.g., prompt testing, hallucination detection, safety filters) . Familiarity with tools and frameworks for LLM fine-tuning and orchestration (e.g., LoRA, QLoRA, AoT P-Tuning etc.) . A passion for mentoring and growing engineering talent . Experience with emerging Agentic AI solutions such as LangGraph, CrewAI, A2A, Opik Comet, or equivalents . Contributions to open-source AI projects or publications in the field . Bonus points if you've ever explained RAG to a non-technical friend-and they got it #LI-Hybrid #LI-SB4 Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future Join us! Salary transparency Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk Please search for open jobs and apply internally (not on this external site).

You will be working as a Sr. Technical Support Engineer in a US Process for Solid Systems Global, located in HBR Layout, Bangalore. Your primary responsibility will be handling ticket work efficiently by closing 12 tickets per day, which translates to approximately 36-45 replies daily. It is essential to maintain a minimum satisfaction rating of 4.0 out of 5, as per customer feedback received through the ticketing system. Your role will involve identifying issues based on symptoms, error messages, or debug logs by referring to internal knowledge bases or public support resources. You will be required to escalate tickets to Tier 2 support following the standard operating procedures. In some cases, remote access to the client-side may be necessary for issue confirmation. Additionally, you may need to make outbound ticket callouts for supervised remote sessions or to clarify details or issues. Apart from ticket work, you will also handle client calls to address their queries effectively. To excel in this role, you should possess excellent communication skills for both calls and written ticket communication. A good understanding of Network Environments and Network Troubleshooting, as well as familiarity with Server Environments including hardware, RAID, and Active Directory Services, is crucial. Knowledge of Linux or Linux Command Line Interface (CLI) is also desirable. Ideally, you should have a minimum of 2 years of experience in a similar Technical Support environment. Holding relevant certifications such as LPIC, RHCP (Red Hat), Linux+, CCNA, Cisco, MCSE, or MCP would be advantageous. The job entails working in rotational shifts aligned with US timings. You will have rotational working days with two days off each week. The work model is a hybrid model combining remote and on-site work as per the company's requirements. This is a contract job for a duration of 1 year, with the potential for extension based on your performance and contribution to the team.,

We are hiring: AI Engineer | Location: Hyderabad | Salary: 24 LPA. Role: Build AI Agents, RAG Pipelines, FastAPI Microservices, LLM Solutions (OpenAI, Claude, Gemini, LangChain). Must have strong Python & Docker experience.

Are you a graduating student from the class of 2025/26 seeking an internship opportunity Do you possess a keen interest in engineering and AgenticAI, aspiring to build your career in GenAI If so, we present you with an exciting chance to explore and grow. Your qualifications and essential skills should include a B.Tech degree in Computer Science, Mathematics, Engineering, or a related field by 2025/26. Proficiency in Python is a must-have skill. Additionally, familiarity or experience with AI frameworks such as Tensorflow, Pytorch, RAG, CRAG, GraphRAG, HuggingFace, LangChain, LangGraph, VectorDB, MCP, and AWS is highly desirable. The ability to commit to a full-time internship, work independently with minimal supervision, demonstrate a passion for excellence, showcase creative thinking, possess commercial awareness, and maintain a focus on achieving set goals are all important attributes. As an intern, you can look forward to a range of perks and benefits, including the potential opportunity for a job offer based on your performance. You will have the chance to collaborate with experienced entrepreneurs, immerse yourself in cutting-edge research and technology, and contribute to an exciting and rapidly expanding field. Remuneration may also be provided based on your performance. This internship opportunity is full-time and spans a duration of 2-3 months. The work setting is hybrid, offering a mix of in-person and remote work experiences.,

Urgently hiring Data Scientist for Product based company in Bangalore in Hybrid role Experience: 3 to 8 yrs Minimum 3 years of hands-on experience in data science and engineering. Proficient in Python, SQL, Pandas, NumPy, and machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Deep understanding of supervised/unsupervised learning, time series modeling, and feature engineering. Skilled in ML algorithms such as SVMs, random forest, gradient boosting, etc. Experience with visualization tools like Power BI or Tableau, and working knowledge of Spark or Hadoop is a plus. Explore and apply advanced AI techniques , including Small Language Models (SLMs), Retrieval-Augmented Generation (RAG), Retrieval-Integrated Generation (RIG), and Model Context Protocol (MCP), to enhance model performance, accelerate insights, and build intelligent, context-aware data solutions. Education: Bachelors degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field.

We are seeking a highly experienced and innovative Technical Architect with 10-15 years of experience to design, lead, and implement our next-generation AI and software solutions. The ideal candidate will have a strong background in software development, exceptional client-facing skills, and a deep, hands-on understanding of emerging AI technologies, including Generative AI and agentic frameworks. Responsibilities Architectural Leadership : Design and lead the development of complex, scalable, and resilient technical architectures for our software and AI-driven systems. Generative AI Strategy : Define the technical roadmap for integrating Generative AI capabilities into products and services, including model selection, fine-tuning, and deployment strategies. Agentic Systems Design : Architect and implement multi-agent systems using frameworks like Crew AI , designing roles, tools, and communication protocols for autonomous and collaborative AI agents. MCP Expertise : Leverage the Model Context Protocol (MCP) to architect client-server systems. Design and build MCP servers to expose data and tools, and develop client agents that can seamlessly interact with these servers to access context and execute tasks. Hands-on Coding : Maintain a strong coding presence. You will be responsible for building key components, leading by example in code quality, and conducting technical reviews. Client & Stakeholder Communication : Serve as a primary technical point of contact for clients. Translate complex technical concepts into clear, concise business solutions and manage expectations throughout the project lifecycle. Mentorship and Governance : Provide technical guidance and mentorship to development teams, ensuring adherence to best practices, coding standards, and architectural principles. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related field. 10-15 years of experience in software development and technical architecture. Extensive hands-on coding experience in a major language such as Python, Java, or Go. Demonstrated expertise in Generative AI , including experience with Large Language Models (LLMs), model APIs (e.g., OpenAI, Anthropic), and concepts like RAG (Retrieval-Augmented Generation). In-depth knowledge of agentic frameworks , with proven experience in designing and building multi-agent systems, particularly with Crew AI . Practical experience with the Model Context Protocol (MCP) , including the design and implementation of both servers and client agents to enable context-aware AI applications. Exceptional ability to communicate, present, and negotiate with technical teams and non-technical clients and business stakeholders. Strong understanding of software development methodologies (e.g., Agile, DevOps) and experience with CI/CD pipelines. Experience with cloud platforms (e.g., AWS, Azure, GCP) and architecting cloud-native solutions.

We are seeking an accomplished Senior Generative AI Engineer to lead initiatives in designing, building, and deploying cutting-edge AI solutions. This role demands strong expertise in RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), Agentic AI systems, and QLoRA-based fine-tuning. The ideal candidate is a leader in AI governance, capable of integrating both open-source (LLaMA, Gemma, Mistral, Falcon, etc.) and closed-source (OpenAI, Anthropic, Gemini, etc.) models into production systems. Location: Bengaluru / Pune Experience Level: 6+ years (2+ years specifically in GenAI/LLM) Roles and Responsibilities Lead the design, development, and deployment of GenAI applications using frameworks such as LangChain, LlamaIndex, HuggingFace Transformers. Architect and implement RAG pipelines, agentic systems, and MCP-based integrations. Drive QLoRA-based fine-tuning and quantization for domain-specific tasks. Ensure AI governance, compliance, and responsible use of generative AI solutions. Evaluate, benchmark, and integrate open-source and proprietary LLMs for enterprise-grade use cases. Collaborate with cross-functional teams including data engineers, backend developers, and product stakeholders. Mentor junior engineers, fostering growth in prompt engineering, model experimentation, and best practices. Stay ahead of emerging research and incorporate the latest advancements in LLMs, embeddings, multimodal models, and vector databases. Required Skills & Qualifications 6+ years in software/ML engineering, with 2+ years focused on Generative AI. Deep expertise in RAG, MCP, agentic architectures, and LLMs. Strong proficiency in Python and leading AI frameworks (LangChain, LlamaIndex, HuggingFace). Proven hands-on experience with QLoRA fine-tuning and inference optimization. Solid knowledge of AI governance frameworks, compliance, and ethical AI practices. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). Exceptional communication and leadership skills, with the ability to mentor teams and articulate complex concepts clearly. Preferred Qualifications Prior work with multi-agent systems, memory-based agents, or frameworks such as CrewAI, AutoGen, LangGraph. Experience with multimodal models (text-to-image/video/audio). Research publications or open-source contributions in the GenAI ecosystem. Demonstrated thought leadership in emerging AI technologies and enterprise adoption.

4–6 years of experience in Deep Learning, GenAI applications building. Deep learning model development and integration (scikit-learn, PyTorch, TensorFlow, Transformer). LLM AI workflow (LangGraph, CrewAI, LangChain , MCP, A2A etc.).

Role & responsibilities Strong proficiency in Python , FastAPI , and AI frameworks like LangChain , OpenAI , or SAIF Hands-on experience with MCP server/client architecture and multi-agent orchestration Experience deploying AI agents for tasks like scheduling, diagnostics, or patient support Understanding of security, privacy , and compliance in healthcare AI Bachelors or Masters degree in Computer Science, AI, ML, or related field Familiarity with MLOps tools like Docker, Kubernetes, and CI/CD pipelines Experience with cloud platforms (AWS, Azure, or GCP) for deploying AI solutions Key Responsibilities Implement AI agents capable of autonomous task execution across Inovalon Applications Build and manage MCP servers to expose internal tools and services for agentic orchestration Collaborate with engineering, implementation and support teams to identify high-impact use cases Ensure compliance with healthcare data standards (HIPAA, PHI) and ethical AI practices Document architecture, workflows, and best practices for future AI expansion Preferred (Nice-to-Have) Experience with Azure AI Foundry , LangChain MCP adapters , or custom MCP tool servers Familiarity with healthcare data systems (CMS, EMR, HL7) and RCM workflows Knowledge of Agent-to-Agent (A2A) protocols for multi-agent collaboration Background in healthcare automation , clinical decision support , or medical NLP Contributions to open-source AI healthcare projects or publications

Position CCNA & Linux Trainer Location: Hadapsar Job Type: Full Time Experience Required: 2-8 Years Industry: Education / Training / IT Services Job Description Faculty is responsible for the coordination, planning, presentation, and evaluation of classroom instruction and related activities during the time assigned at the center. t a minimum the related activities include instruction, instructional counselling, academic advising and in house/college workshops and presentations. Responsibilities and Duties 1. Responsible to start lectures on scheduled time post marking the attendance. 2. Responsible to conduct lectures as per the log sheets and ensure that the modules are completed as per the schedule. 3. Responsible for student conduct and classroom administration. 4. Responsible for handing over daily assignments to students; ensure students complete their journal and projec work within stipulated time frame. 5. Responsible to send student progress reports with specified period. 6. Responsible for maintaining lab register on a daily basis. 7. Responsible to conduct all course modules. 8. Responsible for imparting training to Junior Faculty on higher modules to ensure their upgradation. 9. Responsible for conducting internal exams. 10. Responsible for maintaining LMS on daily/monthly basis. 11. Responsible for batch scheduling and tracking. 12. Motivate students for upgrades and appearing for International Certifications. 13. Conduct Teacher Parents Meet 14. Responsible for Lab maintenance and Equipment's. . interested candidates drop their CVs on gkhandale@sevenmentor.com OR calls/WhatsApp 7387385189

":" Python ecosystem/API for graph database GraphRAG for for graph database MCP server for graph database AI tooling integration, e.g. LangChain , LlamaIndex , NER Requirements Python and Graph Database Building Gen.AI apps " , "Work_Experience":"4-10years" , "Job_Type":"Full time" , "Job_Opening_Name":"Principal / Senior AI Engineer- Graph Data Science" , "State":"Telangana" , "Country":"India" , "Zip_Code":"500001" , "id":"86180000007594799" , "Publish":true , "Date_Opened":"2025-08-11" , "Keep_on_Career_Site":false}]);

Job Title: AI Architect Location: [Mindspace Hyderabad] Job Type: Full-time Positions Available: 1 Role Overview: We are seeking an experienced AI Architect to design, develop, and optimize next-generation AI-driven solutions. The ideal candidate will bring strong expertise in MCP (Model Context Protocol) , hands-on experience in building and deploying AI agents , and advanced proficiency in Python programming . This role requires both technical excellence and strong communication skills to collaborate effectively with cross-functional teams. Key Responsibilities: Design and implement AI architecture and frameworks leveraging MCP. Develop, deploy, and manage AI agents to solve business challenges. Build scalable AI/ML pipelines using Python and modern frameworks. Evaluate emerging AI technologies and integrate them into business solutions. Collaborate with product managers, engineers, and stakeholders to define AI strategies and roadmaps. Ensure best practices in model governance, security, and performance optimization. Mentor junior engineers and provide technical guidance on AI development. Required Skills & Experience: Proven experience as an AI Architect / Senior AI Engineer . Strong understanding and practical experience with MCP (Model Context Protocol) . Hands-on experience in building and deploying AI agents . Expert-level programming in Python (TensorFlow, PyTorch, LangChain, or similar libraries preferred). Strong communication and collaboration skills. Ability to design scalable, production-grade AI solutions. Preferred Qualifications: Experience with cloud AI platforms (AWS, Azure, GCP). Knowledge of LLM-based applications , vector databases, and retrieval-augmented generation (RAG). Familiarity with containerization (Docker, Kubernetes) and MLOps best practices. AI/ML-related certifications are a plus. Please share your updated resumes to naseeruddin.khaja@infosharesystems.com

Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus

AI Architect 7 to 8 years of experience Well-versed with MCP (as discussed) Hands-on experience with AI agents Excellent Python programming and communication skills

Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Location - Mumbai , Pune, Bangalore, Chennai and Noida