64 Mcp Jobs

???? Senior AI/ML Engineer Multi-Agent & MCP Architect Location: Mumbai (Hybrid) Company: Fin 100X.AI Indias Protocol-Governed AI Financial OS ???? Company Description Fin 100X.AI is Indias first protocol-governed, AI-powered Financial Operating System built for Bharats 100 crore underserved citizens. We are reimagining finance through: Multi-agent AI orchestration (MCP protocol-driven) Explainable and trustworthy AI Regulatory-first design (RBI, SEBI, IRDAI, PFRDA aligned) Backed by IIT Bombay alumni and top fintech leaders, we are building AI for Bharat that blends technology, trust, and inclusion. ???? Role Overview As a Senior AI/ML Engineer (MCP + Multi-Agent Orchestration), you will be part of the founding tech braintrust that defines the core AI architecture of Fin 100X.AI. Your mission: Design and deploy a world-class, multi-agent AI stack powered by MCP (Model Context Protocol) to deliver scalable, explainable, and reliable AI-driven financial advisory modules for 100 crore users. You will directly influence: AI Laxmi orchestration Credit Booster, SIP Planner, Fraud Shield National-scale agentic financial intelligence ???? Key Responsibilities Architect and implement multi-agent AI systems using MCP protocol Build LLM orchestration pipelines (LangChain, AutoGen, CrewAI, MCP) Design retrieval-augmented pipelines (RAG) with vector memory & routing Deploy neural models (NLP, NLU, recommendation engines) at scale Create fallback, routing, and governance layers for explainable AI Integrate real-time financial intelligence APIs (OpenAI, Gemini, HuggingFace, etc.) Mentor junior AI engineers; enforce best practices in ML Ops and agent orchestration Collaborate with backend/frontend teams for end-to-end AI productionization ? Required Qualifications Core Technical Skills Strong foundation in ML/DL architectures, NLP, and LLMs Expertise in multi-agent orchestration frameworks: MCP, AutoGen, CrewAI, LangGraph Advanced experience with Python (TensorFlow, PyTorch, HuggingFace, FastAPI) Proficient in vector search systems (Pinecone, FAISS, ChromaDB) Deep knowledge of RAG pipelines, memory graphs, prompt chaining Experience deploying models in cloud-native and microservice architectures Preferred Exposure FinTech AI systems or regulated AI environments Agent evaluation, explainability, and safety-first design Scaling AI in hybrid production (cloud + edge) environments ???? What We Value Architect mindset with hands-on coding skills Self-driven innovation and ownership from concept ? deployment Experience building AI systems for 10M+ scale Passion for financial inclusion, Bharat-first AI, and AI for Good ???? Perks Shape Indias AI Financial OS from Day 0 ESOP track + leadership growth National showcase at Global FinTech Fest 2025 Mentorship with IIT Bombay alumni & top AI architects Solve real Bharat-scale problems with MCP-first AI innovation Show more Show less

Organization: At CommBank, we never lose sight of the role we play in other peoples financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Principal Software Engineer - Gen AI Location: Manyata Tech Park, Bangalore Business & Team: CTO- Cloud Modernisation Impact &contribution: As an experienced Principal Engineer who act as thought & technology leader, responsible for providing technical strategy and guidance, overseeing engineering projects of all kinds includes AWS, Cloud Adoption, end to end application design and understanding at enterprise level and good in domain understanding with proven expertise in Gen AI platform engineering and a passion for providing AI-driven solutions, youre ahead of trends and work at the forefront of AI. Roles & responsibilities: Evangelist, leader and champion of strategic practice development across the Gen AI domain. Leader amongst engineers with respected technical views. Lead and direct multiple teams on complex troubleshooting activity. Play a mentoring role in providing design and technical assistance to other members of the team. Utilises an outstanding competency in core business and technical strategies across platforms to deliver best business outcomes. Build Gen AI capability among engineers including but not limited to Knowledge Engineering/prompt engineering/platform engineering. Knowledge Engineering: identifying and gathering relevant domain specific knowledge from various sources and structuring it in a structured way for LLM model to understand and utilize. Platform engineering: Collaborate with other teams to integrate AI solutions into existing workflows and systems to get the platform running and available. They configure and manage the underlying infrastructure that supports the platform, ensuring scalability, reliability, and high availability. Staying up to date on advancements: The field of generative AI is constantly evolving, so staying informed about the latest research and developments, latest releases on different models and their performances are crucial. Ability to develop, suggest best practices of designing infrastructures that support fine-tuning of models to improve performance and efficiency, and troubleshoot any issues that arise during development or deployment. Analyse systems and applications and provide recommendations for design, enhancement and development, and play an active part in their execution. Have a great understanding of software delivery practices and lifecycles in Agile methodologies Essential skills: 16+ years of experience in relevant filed. Strong programming skills in languages (Python/ Java/ C#/ .NET Core) Hands-on experience with cloud platforms (Azure or AWS) and deploying AI models in cloud-native environments. Proven experience in building applications using LLMs and GenAI technologies. Experience with DevOps practices and tools for continuous integration and deployment. Experience with large language models (LLMs) and retrieval-augmented generation (RAG) techniques. Proficiency in using LLM frameworks and toolkits in one or more such as Langchain, Crew AI, MCP, Cline, Aider, and similar technologies. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication and collaboration skills. Education Qualification: Bachelors degree or Masters degree in Engineering in Computer Science/Information Technology. If you&aposre already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you&aposll need to apply through Sidekick to submit a valid application. Were keen to support you with the next step in your career. We&aposre aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 16/08/2025 Show more Show less

Role: Gen AI Developer Total Experience: 6+ years with 2+ years working on GenAI initiatives Employment Type: Permanent & Full time Working Model: Hybrid (3 days work from office) Job Summary: We are seeking a Senior AI Developer with proven expertise in Generative AI technologies, a solid foundation in machine learning, and a strong understanding of data governance. The ideal candidate will have hands-on experience with both cloud-based LLM platforms, on-premise, open-source LLMs like Ollama, Llama.cpp, and GGUF-based models. You should also have good knowledge in Model Context Protocol (MCP). You will help architect and implement GenAI-powered products that are secure, scalable, and enterprise-ready. Key Responsibilities: Design, build, and deploy GenAI solutions using both cloud-hosted and on-prem LLMs. Work with frameworks like Hugging Face, LangChain, LangGraph, LlamaIndex to enable RAG and prompt orchestration. Implement private LLM deployments using tools such as Ollama, LM Studio, llama.cpp, GPT4All, and vLLM. Design retrieval-augmented generation (RAG) pipelines with context-aware orchestration using MCP. Implement and manage Model Context Protocol (MCP) for dynamic context injection, chaining, memory management, and secure prompt orchestration across GenAI workflows. Fine-tune open-source models for specific enterprise tasks and optimize inference performance. Integrate LLMs into real-world applications via REST, gRPC, or local APIs. Ensure secure data flows and proper context management in RAG pipelines. Collaborate across data, product, and infrastructure teams to operationalize GenAI. Incorporate data governance and responsible AI practices from design through deployment. Required Skills and Qualifications: 6+ years of experience in AI/ML; 2+ years working on GenAI initiatives. Experience with OpenAI, Claude, Gemini, cloud based LLMs (AWS/GCP/Azure) and open-source LLMs like Mistral, LLaMA 2/3, Falcon, Mixtral. Strong hands-on expertise with on-premise LLM frameworks (Ollama, llama.cpp, GGUF models, etc.) Hands-on experience with Model Context Protocol (MCP) for structured prompt orchestration, context injection and tool execution. Proven experience in building and optimizing Retrieval-Augmented Generation (RAG) pipelines, including document chunking, embedding generation, and vector search integration. Proficiency in Python and libraries such as Transformers, Hugging Face, LangChain, and PyTorch. Experience with embedding models and vector DBs (FAISS, Pinecone, Weaviate, Qdrant, etc.) Familiarity with MLOps, GPU optimization, containerization, and deployment in secure environments. Good understanding of data governance access control, lineage, auditability, privacy. Nice to Have: Exposure to multi-modal models (image, speech) and toolformer-style agents Experience integrating AI into enterprise platforms (e.g., ServiceNow, Salesforce, Jira) Awareness of inference acceleration tools (vLLM, DeepSpeed, TensorRT)

Design and deploy GenAI apps using OpenAI, Azure, LangChain, AutoGen, etc. Build full-stack apps (React/NextJS, NodeJS), work on speech & vision AI, video processing (FFMPEG), and collaborate on agile R&D with global teams.

Must have skills for this role: 1. 5+ years of experience in AI/ML development, with at least 2 years specifically focused on autonomous, agentic AI systems, or multi-agent systems. 2. Strong programming proficiency in Python, with extensive experience in its AI/ML ecosystem (e.g., PyTorch, TensorFlow, Scikit-learn). 3. Demonstrable hands-on experience with one or more agentic AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, AutoGPT, or similar custom implementations. 4. Solid understanding of Large Language Models (LLMs), including architectures (transformers), prompt engineering, fine-tuning, and integration strategies. 5. Experience with Model Context Protocol (MCP) or similar approaches for managing contextual integrity, memory, and state within intelligent agent systems. 6. Familiarity with planning algorithms, reinforcement learning, symbolic reasoning, and knowledge representation. 7. Experience deploying and managing scalable AI systems in cloud environments (AWS, Google Cloud Platform, or Azure). 8. Strong understanding of software architecture principles, design patterns, and distributed systems. 9. Excellent problem-solving skills, analytical thinking, and the ability to work independently and collaboratively in a fast-paced environment. 10. Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Preferred skills: NA What are the soft skills required: Leadership: Ability to lead, mentor, and inspire the offshore team toward excellence. Problem-Solving: Strong analytical and troubleshooting skills to resolve technical challenges. Proactivity: Takes initiative to address project needs and anticipates potential issues. Adaptability: Open to adapting to new technologies, tools, and evolving project requirements. A2a, Ai Exploration, Langchain, Langgraph, Mcp

If you are a risk-taker, innovator, and fearless problem solver who loves solving challenges of data security, then this is the place for you! Here's what you will get to explore: Technical Support and Customer Interaction: Provide real-time support via voice calls, chats, and emails to Seclore enterprise customers and partners, adhering to SLAs and resolving issues, often on the first interaction. Handle multiple cases with varying severity and escalate when necessary. Product Expertise and Continuous Learning: Gain in-depth knowledge of Seclore products, research relevant topics, and stay updated through training to support new product releases, troubleshooting, and developing documentation. Issue Diagnosis and Resolution: Use analytical skills and experience to diagnose and resolve complex issues in diverse customer environments, applying technical expertise to deliver effective solutions. Collaboration and Communication: Work closely with internal teams to prioritize customer requests, communicate technical issues clearly to stakeholders, and mentor peers to improve skills and efficiency. Multitasking and Shift Adaptability: Manage multiple cases efficiently in a fast-paced environment, and remain adaptable while working in shifts to meet team and customer needs. Areas of Work: Support: Assisting users with Seclore products by providing answers to questions and offering guidance to ensure proper operation via phone, chat, or email. Troubleshooting: Identifying and diagnosing issues with software functionality. Repair: Resolving and fixing application software malfunctions. Qualifications: Languages: Proficient in English. Core Technologies: Expertise in Windows Server/Client, Linux, troubleshooting OS and application issues, and infrastructure technologies (AD, DNS, DHCP). Networking Tools: Strong foundation in networking principles and working knowledge of MS Office, Process Monitor, Wireshark, and antivirus software. Additional Skills: Familiar with MAC OS, VMware/Hyper-V, Apache Tomcat/Web Server, remote deployment tools (LANDesk, SCCM), and relational DB principles (MS-SQL, Oracle). Security: Understanding of computer security procedures and protocols. Experience : 25 years in technical support, preferably application support, with exposure to shift work and handling customer calls. Familiar with CRM tools and severity-based models, with experience supporting enterprise customers. Education: Bachelors/Diploma in Computer Science. Certifications (Preferred): MCSE, MCP, RHEL, CCNA. Abilities : Strong customer-focus, problem-solving skills, and ability to communicate technical issues to non-technical users. Ownership of technical issues, with a willingness to work in a 24/7 support center and adapt to high-pressure environments. Team player with flexibility to stretch work hours when needed. Why do we call Seclorites Entrepreneurs, not Employees We value and support those who take the initiative and calculate risks. We have an attitude of a problem solver and an aptitude that is tech agnostic. You get to work with the smartest minds in the business. We are thriving not living. At Seclore, it is not just about work but about creating outstanding employee experiences. Our supportive and open culture enables our team to thrive

If you are a risk-taker, innovator, and fearless problem solver who loves solving challenges of data security, then this is the place for you! Here's what you will get to explore: Technical Support and Customer Interaction: Provide real-time support via voice calls, chats, and emails to Seclore enterprise customers and partners, adhering to SLAs and resolving issues, often on the first interaction. Handle multiple cases with varying severity and escalate when necessary. Product Expertise and Continuous Learning: Gain in-depth knowledge of Seclore products, research relevant topics, and stay updated through training to support new product releases, troubleshooting, and developing documentation. Issue Diagnosis and Resolution: Use analytical skills and experience to diagnose and resolve complex issues in diverse customer environments, applying technical expertise to deliver effective solutions. Collaboration and Communication: Work closely with internal teams to prioritize customer requests, communicate technical issues clearly to stakeholders, and mentor peers to improve skills and efficiency. Multitasking and Shift Adaptability: Manage multiple cases efficiently in a fast-paced environment, and remain adaptable while working in shifts to meet team and customer needs. Areas of Work: Support: Assisting users with Seclore products by providing answers to questions and offering guidance to ensure proper operation via phone, chat, or email. Troubleshooting: Identifying and diagnosing issues with software functionality. Repair: Resolving and fixing application software malfunctions. We can see the next Entrepreneur at Seclore if you: Qualifications: Languages: Proficient in English. Core Technologies: Expertise in Windows Server/Client, Linux, troubleshooting OS and application issues, and infrastructure technologies (AD, DNS, DHCP). Networking Tools: Strong foundation in networking principles and working knowledge of MS Office, Process Monitor, Wireshark, and antivirus software. Additional Skills: Familiar with MAC OS, VMware/Hyper-V, Apache Tomcat/Web Server, remote deployment tools (LANDesk, SCCM), and relational DB principles (MS-SQL, Oracle). Security: Understanding of computer security procedures and protocols. Experience : 2 to 5 years in technical support, preferably application support, with exposure to shift work and handling customer calls. Familiar with CRM tools and severity-based models, with experience supporting enterprise customers. Education: Bachelors/Diploma in Computer Science. Certifications (Preferred): MCSE, MCP, RHEL, CCNA. Abilities : Strong customer-focus, problem-solving skills, and ability to communicate technical issues to non-technical users. Ownership of technical issues, with a willingness to work in a 24/7 support center and adapt to high-pressure environments. Team player with flexibility to stretch work hours when needed. Why do we call Seclorites Entrepreneurs, not Employees We value and support those who take the initiative and calculate risks. We have an attitude of a problem solver and an aptitude that is tech agnostic. You get to work with the smartest minds in the business. We are thriving not living. At Seclore, it is not just about work but about creating outstanding employee experiences. Our supportive and open culture enables our team to thrive.

Role & responsibilities We are seeking an experienced Footwear Technology Consultant to support the strategic upgrade of our production facilities and systems. The ideal candidate will have deep expertise in footwear manufacturing, sourcing, and supply chain optimization, with a strong industry network to support procurement of materials and machinery. Evaluate current production infrastructure and recommend scalable improvements. Design and implement plans to upgrade machinery, tools, and automation for orthopedic footwear manufacturing. Source high-quality raw materials, components, and production technologies through established industry contacts. Provide technical guidance to optimize manufacturing workflow and reduce production costs. Collaborate with design, product, and operations teams to align production upgrades with product goals. Train internal teams on best practices in modern footwear production and material handling. Ensure compliance with industry standards and quality control procedures. Preferred candidate profile Minimum 20 years of experience in footwear manufacturing, material sourcing, and technology implementation. Strong technical understanding of orthopedic and comfort footwear production. Established network of suppliers and equipment manufacturers (national and international). Experience with factory setup, production optimization, and sourcing strategy. Strong leadership, communication, and analytical skills. Willingness to travel or work in hybrid/onsite mode from Madurai (preferred). For any queries contact: 8220107544

About the company: CoreOps.AI is a new age company founded by highly experienced leaders from the technology industry with a vision to be the most compelling technology company that modernizes enterprise core systems and operations. Website : https://coreops.ai CoreOps is building the AI operating system for enterprises - accelerating modernization by 50% and cutting costs by 25% through intelligent automation, data orchestration, and legacy transformation. At CoreOps.AI, we believe in the quiet power of transformation like the dandelion that seeds change wherever it lands. Inspired by this symbol of resilience and growth, our enterprise AI solutions are designed to take root seamlessly, enrich core operations, and spark innovation across your business.Founded by industry veterans with deep B2B expertise and a track record of scaling global tech businesses, CoreOps.AI brings the power of agentic AI to modernize legacy systems, accelerate digital transformation, and shape the future of intelligent enterprises. Key Responsibilities: Develop and maintain backend services using Python , with a strong focus on FastAPI , NumPy , and Polars for efficient data handling. Build and orchestrate agentic workflows using LangChain , LangGraph , and MCP Agents to enable dynamic, multi-step reasoning. Design and implement RAG pipelines for contextual information retrieval and response generation. Integrate and optimize MongoDB or similar vector databases (e.g., FAISS, Pinecone) for semantic search and embedding storage. Collaborate with cross-functional teams to deploy scalable AI services in production. Conduct performance tuning, testing, and deployment of AI components. Stay updated with the latest in GenAI, LLMs, and agentic architectures. Required Skills & Experience: 3 6 years of experience in backend development with Python . Strong hands-on experience with: FastAPI for building RESTful APIs. NumPy and Polars for numerical and tabular data processing. Solid understanding of Generative AI concepts and experience with: LangChain , LangGraph , and MCP Agents . Building and deploying agentic RAG systems. Experience with MongoDB or other vector databases for semantic search and retrieval. Familiarity with cloud platforms (Azure) and containerization (Docker/Kubernetes) is a plus.

About the company: CoreOps.AI is a new age company founded by highly experienced leaders from the technology industry with a vision to be the most compelling technology company that modernizes enterprise core systems and operations. Website : https://coreops.ai CoreOps is building the AI operating system for enterprises - accelerating modernization by 50% and cutting costs by 25% through intelligent automation, data orchestration, and legacy transformation. At CoreOps.AI, we believe in the quiet power of transformation like the dandelion that seeds change wherever it lands. Inspired by this symbol of resilience and growth, our enterprise AI solutions are designed to take root seamlessly, enrich core operations, and spark innovation across your business.Founded by industry veterans with deep B2B expertise and a track record of scaling global tech businesses, CoreOps.AI brings the power of agentic AI to modernize legacy systems, accelerate digital transformation, and shape the future of intelligent enterprises. Required Skills & Experience: 3 6 years of experience in backend development with Python . Strong hands-on experience with: FastAPI for building RESTful APIs. NumPy and Polars for numerical and tabular data processing. Solid understanding of Generative AI concepts and experience with: LangChain , LangGraph , and MCP Agents . Building and deploying agentic RAG systems. Experience with MongoDB or other vector databases for semantic search and retrieval. Familiarity with cloud platforms (Azure) and containerization (Docker/Kubernetes) is a plus. Please note - We are looking for immediate joiners (or max. NP 15-20 days).

Job Timing : Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Description: As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools. Key Responsibilities: Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies. Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models. Collaborate with engineering teams to integrate models into production systems. Apply best practices for model training, tuning, evaluation, and optimization. Develop and maintain pipelines for data ingestion, feature engineering, and model deployment. Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions. Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems. Continuously stay up-to-date with the latest AI/ML technologies and research trends. Qualifications: Required: Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong expertise in building and deploying machine learning models across various use cases. In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others. Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning. Expertise in model training, fine-tuning, and hyperparameter optimization. Strong programming skills in Python, R, or similar languages. Solid understanding of model evaluation metrics and performance tuning. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras. Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot. Strong experience with data wrangling, feature engineering, and preprocessing techniques. Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Preferred: PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks). Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc. Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform. Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models. Knowledge of reinforcement learning (RL) algorithms and practical application experience. Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators. Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment. Additional Tools & Technologies (Preferred Experience): Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn Big Data Processing: Hadoop, Spark, Databricks, Dask Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas Database : RDBMS, NoSQL Version Control: Git, GitHub, GitLab Why Join Us: Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology. Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas. Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities. Competitive Compensation: We offer a competitive salary and benefits package.

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. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs Proven track record of successfully deploying and optimizing LLM models in 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. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. Monitor and analyse the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions Proficient in MCP(Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Basic Qualifications: Bachelors or Masters degree in computer science or a related discipline. Good communication & Interpersonal skills to interact with customers and partner teams Must be a quick learner & Self-starter who requires minimal supervision. Excellent Problem solving, Critical thinking & Analytics skills. Proficiency in english(Oral & Written)

Wipro Limited is a leading technology services and consulting company that focuses on creating innovative solutions to meet the complex digital transformation needs of clients. With a vast portfolio of capabilities in consulting, design, engineering, and operations, Wipro helps clients achieve their bold ambitions and build sustainable businesses. The company, with over 230,000 employees and business partners in 65 countries, is committed to assisting customers, colleagues, and communities in thriving in a rapidly evolving world. To learn more, visit www.wipro.com. Role: Data Science GenAI Architect Title: Data Science Architect Location: Gurgaon / Noida Key Responsibilities: - Develop working proof of concepts (POC) and prototypes quickly. - Create and integrate AI-driven solutions to address identified opportunities and challenges. - Lead cross-functional teams to identify and prioritize key business areas where AI solutions can deliver benefits. - Present proposals to executives and business leaders on various technology strategies, standards, and governance for AI. - Collaborate with engineering and business leaders on functional design, process design, prototyping, testing, and defining support models. - Document and articulate solutions architecture and lessons learned from each exploration and accelerated incubation. Relevant IT Experience: - Minimum of 10 years of relevant IT experience in the specified technology. Competencies: - Client Centricity - Passion for Results - Execution Excellence - Problem Solving & Decision Making - Effective Communication Mandatory Skills: Technology (Alight IT) Experience: 8-10 Years At Wipro, we are shaping a modern organization focused on end-to-end digital transformation. We are seeking individuals who are inspired by reinvention - of themselves, their careers, and their skills. Join us in our journey to constantly evolve our business and industry. At Wipro, we embrace change and empower you to design your own reinvention. Realize your ambitions with us. We welcome applications from individuals with disabilities.,

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.

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