51 Semantic Kernel Jobs

About Zocket At Zocket, we are pioneering the future of marketing by harnessing the power of Artificial Intelligence to transform how businesses automate and scale their workflows. Our mission is bold yet simple: to streamline decision-making, dramatically reduce manual effort, and empower marketers to achieve superior results with minimal human intervention . This vision is powered by our cutting-edge Agentic AI systems next-generation intelligent agents designed not just to assist, but to autonomously execute complex marketing tasks at scale. About the Role: AI/ML Engineer As an AI/ML Engineer at Zocket , you will play a pivotal role in designing, building, and optimizing intelligent systems that power our agentic marketing platform. Youll work on challenging problems at the intersection of applied machine learning, generative AI, and large-scale data systems turning research concepts into production-ready solutions. You will: Develop, train, and fine-tune ML models for tasks such as campaign optimization, audience prediction, and creative generation. Build and scale AI agents that can reason, plan, and autonomously execute marketing workflows. Work with frameworks like LangGraph, LlamaIndex, and Semantic Kernel , alongside modern ML libraries (PyTorch, TensorFlow). Architect scalable data pipelines, integrate vector databases (Pinecone, Weaviate, Chroma) , and experiment with RAG (Retrieval-Augmented Generation). Deploy models and agents in production environments using cloud platforms (AWS/GCP/Azure) and observability tools (LangSmith, Langfuse). Collaborate with cross-functional teams (Product, Design, Marketing) to translate business needs into AI-first solutions. In this role, youll be at the forefront of building production-grade AI systems that redefine digital marketing efficiency turning complex ML advancements into tangible business outcomes . Show more Show less

As a Senior GenAI Engineer at NTT DATA in Delhi, Haryana (IN-HR), India, your role will involve designing, building, and productionizing GenAI and agentic systems on hyperscalers like Azure, AWS, and GCP. You will lead the development lifecycle from problem framing to MLOps deployment, while also mentoring junior engineers and collaborating with product, design, and clients. Key Responsibilities: - Design & build GenAI/agentic systems including chat copilots, workflow/graph agents, and tool use - Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/evaluation - Select, integrate, and finetune LLMs & multimodal models - Apply prompt-engineering techniques to specific use cases - Work on solutions based on LLM, NLP, DL, ML, object detection/classification, etc. - Have a clear understanding of CI/CD, configuring guardrails, and PII redaction - Collaborate with clients/stakeholders from multiple geographies - Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies Qualifications: - Bachelors/Masters Degree or equivalent - 8+ years in software/ML engineering, with 1.5+ years hands-on experience with LLMs/GenAI and agentic frameworks - Proven track record of shipping production AI systems on at least one hyperscaler - Experience leading teams and owning end-to-end delivery Required Skills: - Strong Python experience for building AI-ML/GenAI Solutions - Experience with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen - Strong experience with Vector DBs like Pinecone, Milvus, Redis/pgvector - Working experience with hybrid search, re-rankers, evaluation, and observability - Proficiency in SQL Query, NLP, CV, Deep Learning Algorithms - Experience with Open Source Models - Knowledge of UI/UX is an added advantage About NTT DATA: NTT DATA is a $30 billion global innovator of business and technology services, serving 75% of the Fortune Global 100. With diverse experts in over 50 countries, NTT DATA is committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA offers services in business and technology consulting, data and artificial intelligence, industry solutions, as well as the development and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure and is part of the NTT Group, investing significantly in R&D to support organizations and society in the digital future. Visit us at us.nttdata.com,

Role Overview: As a Senior Consultant in TMT Business Consulting Finance at EY, you will have the opportunity to work with Technology, Media & Entertainment, and Telecommunications organizations to help them evolve, transform, and stay competitive in the industry. Your role will involve creating compelling employee and customer experiences, ensuring operational excellence, safeguarding data and reputation, and supporting M&A strategies. You will play a key part in shaping the future of the technology revolution and contributing to building a better working world for all. Key Responsibilities: - Develop end-to-end GenAI solutions using LLMs (OpenAI, Claude, Llama, Gemini, etc.) - Build and manage multi-agent orchestration using frameworks like AutoGen, CrewAI, Semantic Kernel - Design document chunking, embedding, and indexing pipelines using Pinecone, Weaviate, FAISS, pgvector - Optimize RAG pipelines for latency, relevance, and safety - Create reusable prompt templates for zero-shot, few-shot, and chain-of-thought applications - Fine-tune open-source models using LoRA, QLoRA, or supervised datasets when needed - Containerize AI workflows using Docker/Kubernetes and deploy on Azure/AWS/GCP - Set up CI/CD pipelines, logging, monitoring, and automated evaluation metrics (hallucination, toxicity) - Maintain clean code, modular utilities, internal documentation, and reusable accelerator components for the GenAI Factory Qualifications Required: - 3-5 years of practical experience in building GenAI or Agentic AI applications with measurable business outcomes - Strong Python skills (asyncio, FastAPI, LangChain, Pydantic), basic JavaScript/TypeScript for integration plugins - Experience with LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and Hugging Face ecosystem - Expertise in machine learning algorithms and deep learning techniques (e.g., BERT, GPT, LSTM, CNN, RNN) - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field Additional Company Details: At EY, you will have the opportunity to work with over 200,000 clients globally and be part of a team of 300,000 professionals, including 33,000 individuals in India. EY is committed to investing in the skills and learning of its employees, offering personalized Career Journeys and access to career frameworks to enhance roles, skills, and opportunities. The organization is dedicated to being an inclusive employer, striving to achieve a balance between delivering excellent client service and supporting the career growth and well-being of its employees.,

Role Overview: You will be joining as a Senior AI Architect in the Office of the CTO, where you will play a crucial role in designing, developing, and deploying AI and Machine Learning solutions using Python. Your primary focus will be to collaborate with enterprise customers to address critical business challenges by leveraging Azure's advanced AI capabilities. Key Responsibilities: - Lead hands-on design and development efforts using Python to create robust, scalable AI/ML solutions - Work closely with enterprise customers to strategize and implement AI-driven solutions leveraging Azure AI services - Translate complex requirements into practical technical solutions - Develop end-to-end prototypes, including data ingestion, processing, and model deployment using Azure platform components - Customize and optimize AI models for specific customer use cases - Integrate AI solutions with full-stack architectures, utilizing JavaScript frameworks and/or .NET ecosystems - Establish and maintain CI/CD and ML Ops pipelines for automated deployments - Explore diverse datasets to engineer features that enhance ML performance - Participate in all phases of the model lifecycle from conceptualization to continuous monitoring and improvement Qualifications Required: - Master's degree or higher, preferably with a specialization in Machine Learning, Data Science, or AI - Minimum of 10+ years experience as a technical solution architect with expertise in AI/ML development - Hands-on experience in Python development for building and deploying production-grade AI solutions - Successful delivery of cloud-native AI projects, preferably on the Azure platform - Expertise in deep-learning and Agentic AI frameworks such as Semantic Kernel, LangChain, LangGraph - Additional experience in JavaScript and/or .NET for full-stack solution design is preferred - Practical knowledge of Azure OpenAI, Azure ML, and AI Agent development frameworks - Proficiency in implementing automated deployments using Azure DevOps, GitHub, and understanding of MLOps practices - Strong communication skills to explain technical solutions clearly to diverse audiences - Analytical mindset with a focus on customer empathy and user-centric design Company Details: Microsoft's mission is to empower every individual and organization to achieve more. They value a growth mindset, innovation, collaboration, respect, integrity, accountability, and inclusiveness. They are looking for professionals who align with these core values.,

Job Overview: We are seeking a highly motivated, passionate, and customer centric Senior AI Architect to join the Office of the CTO . This is a hands-on, customer facing, technical role that requires deep expertise in AI and Machine Learning, specifically leveraging Python for end-to-end solution design, development, and deployment. Experience with JavaScript and/or .NET and Agent development frameworks like Semantic Kernel, LangChain, LangGraph is strongly preferred. You'll collaborate closely with enterprise customers to solve critical business challenges by leveraging Azure's cutting-edge AI capabilities, design and build AI solutions, implement robust data pipelines including Azure OpenAI, Azure ML, and other Large/Small Language Model (LLM/SLM) platforms. Our diverse, inclusive, and mission-driven team prioritizes innovation, collaboration, and continuous learning, focused on solving complex, real-world business challenges for enterprise customers.

Role: Senior Data Scientist Location: Hyderabad Notice Period: Immediate to 15days About the Role We are looking for a Senior Data Scientist to design and build intelligent chatbot systems that can interpret natural language queries and interact with structured and unstructured data using Text-to-SQL, RAG (Retrieval-Augmented Generation), and Agentic reasoning. Youll lead the development of multi-modal, context-aware, and autonomous agents that use large language models to query databases, invoke tools, retrieve knowledge, and plan actions, all within enterprise-grade environments. Key Responsibilities Build Text-to-SQL agents that convert natural language into accurate, executable SQL across various schemas. Design RAG pipelines to enrich LLM outputs using internal documents, tables, and API-based retrievers. Develop agentic frameworks that enable tool use, database interaction, planning, and task decomposition using LLMs. Tune prompts and build evaluation systems for accuracy, latency, grounding, and correctness. Work with product and data teams to build domain-specific few-shot examples, tool definitions, and vectorized schema representations. Optimize inference latency using frameworks like LangChain, Semantic Kernel, or Llama Index. Required Skills 4+ years in Data Science or NLP, with 2+ years in LLM-based application development. Experience with Text-to-SQL modeling (Spider, BIRD, etc.) and fine-tuning using synthetic or annotated query datasets. Strong understanding of LLM orchestration tools (LangChain, Semantic Kernel, or custom agents). Hands-on with RAG architectures: embedding generation, retriever tuning, chunking strategies, and reranking. Proficiency in Python, SQL, and vector search tools (FAISS, Pinecone, Weaviate, OpenSearch). Familiarity with prompt tuning, structured output parsing, and function calling (OpenAI, Mistral, Anthropic, etc.). Leadership & Collaboration Lead experimentation and architectural design for agent-based workflows (SQL agents, document agents, hybrid search agents). Mentor junior team members in LLM prompt engineering, schema design, and text- to-structure pipelines. Collaborate with ML engineers, product managers, and data owners to implement scalable conversational AI interfaces. Nice to Have Experience with vLLM, LoRA fine-tuning, or quantized model deployment. Prior work in multi-agent planning, self-healing agents, or semantic query generation. Familiarity with tools like SQLGlot, DSPy, DeepEval, and OpenAI function tools. Knowledge of structured RAG (combining structured + unstructured sources) and hybrid ranking.

Job Title: AIML Engineer Job Type: 6-Month Contract, after 6 months it will convert to fulltime Location: Bengaluru, India Experience: 46 Years Working Days: Monday to Friday (Saturday & Sunday Off) Job Description We are looking for an experienced AIML Engineer with 48 years of expertise in AI/ML solutions, specifically in building intelligent applications leveraging LLM orchestration tools. The ideal candidate will have hands-on experience with Semantic Kernel, LangChain, and LangGraph, along with strong skills in developing, integrating, and deploying AI-powered applications at scale. Key Responsibilities Design, develop, and implement AI/ML models and intelligent workflows using Semantic Kernel, LangChain, and LangGraph. Build and deploy LLM-based solutions integrating various APIs and knowledge sources. Collaborate with cross-functional teams to define use cases, architecture, and technical roadmaps. Perform prompt engineering, fine-tuning, and optimization for large language models (LLMs). Ensure scalability, reliability, and efficiency of deployed AI systems. Required Skills & Qualifications 48 years of experience in AI/ML development, with exposure to LLM orchestration frameworks. Strong hands-on experience with Semantic Kernel, LangChain, and LangGraph. Proficiency in Python and common AI/ML libraries (TensorFlow, PyTorch, Scikit-learn). Familiarity with APIs, vector databases, and knowledge graph integration. Good understanding of data preprocessing, model tuning, and production deployment. Show more Show less

Latentbridge is looking for an experienced AI/ML Engineer to join their team in Pune. If you are passionate about leveraging cutting-edge technologies like Python, AI/ML, and NLP to solve complex problems, this role might be a great fit for you. As an AI/ML Engineer at Latentbridge, you will be responsible for developing and maintaining Python applications, with a focus on compatibility with Python 3.10 and above. You will also utilize AI/ML techniques to build and deploy models, particularly focusing on Open-Source models available on platforms like Hugging Face. Experience with Large Language Models (LLMs) and model training is preferred for this role. Additionally, you will implement cloud-based solutions using AWS or Azure, optimize search strategies with Vector Databases, and develop natural language processing applications using NLP libraries such as NLTK and Spacy. Familiarity with LangChain, LLamaIndex, Semantic Kernel, or Dspy is considered a plus. Experience with MLOps practices and Data Engineering tools is also valued in this role. To be successful in this position, you should have a Bachelor's degree in Computer Science, Engineering, or a related field, along with 5-7 years of relevant experience in AI/ML, NLP, and Python development. Proficiency in Python 3.10 and above, experience with cloud platforms like AWS or Azure, a strong understanding of AI/ML concepts and techniques, hands-on experience with NLP libraries, familiarity with Vector Databases and Search Optimization strategies, and exposure to MLOps practices and Data Engineering tools are also required. In return, Latentbridge offers a competitive salary package, opportunities for professional growth and development, a collaborative and innovative work environment, as well as health insurance and other benefits. If you are ready to take on this exciting opportunity, we encourage you to apply and be a part of Latentbridge's dynamic team in Pune.,

As an Agentic AI Developer/Consultant, you will be responsible for designing, building, and deploying LLM-powered autonomous agents that possess the capabilities of reasoning, tool utilization, and executing long-horizon goals. Your role will involve architecting multi-agent systems that collaborate effectively, integrating LLMs with external tools and APIs, implementing memory modules, and driving Proof of Concepts towards production-grade systems. Collaboration with AI Strategy and Platform teams is crucial to define reusable patterns, guardrails, and agent behaviors. Continuous research and development are expected to stay ahead of industry trends and anticipate upcoming advancements in the field of AI systems. To excel in this role, you should have a minimum of 8 years of experience in software engineering or AI system development, with at least 2 years focusing on LLMs, agents, or similar paradigms. Proficiency in Python and a deep understanding of agentic stacks such as LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel are essential. Strong software design fundamentals, including asynchronous programming, microservices architecture, and cloud-native workflows, will be advantageous. The successful candidate will have the ability to transform user stories into well-architected reasoning systems that require minimal human intervention. Innovation and the ability to write new pages in the agentic AI playbook are highly valued. Delivering tangible value through scalable solutions that effectively address real-world problems is a key measure of success. In return, you can expect to work in a high-autonomy, high-accountability culture with early access to cutting-edge agentic systems in enterprise settings. Direct engagement with leadership, collaborative peers, and challenging problem-solving opportunities are provided. Competitive compensation, substantial growth prospects, and exposure to global projects are part of the package.,

About Invezza Technologies Invezza is a technology consulting and outsourced product development company. We believe in growing together and creating long-term relationships with the common purpose of delivering innovative solutions and cutting-edge digital experiences. We are technically creative, innovators with a deep passion for technology. Work location - Baner, Pune Agentic AI Developer Job Description: Looking for an Agentic AI Developer experienced in building intelligent, LLM-integrated agents using LangChain, Python, and vector databases. The ideal candidate will have experience building end-to-end workflows for agents that can manage tasks like file handling, ticket creation, and information retrieval all while maintaining context and memory across sessions. Key Responsibilities Design and deliver complete generative AI solutions, taking ownership of the entire development lifecyclefrom model conceptualization to deploymentensuring high-quality, timely project delivery. Drive LLM and LangChain adoption across business functions, spearheading the seamless integration of large language models and LangChain into existing workflows to unlock business value. Apply strong proficiency in Python and related tools to clean, structure, and transform data for AI-driven applications. Collaborate with stakeholders to interpret business challenges and architect generative AI solutions aligned with organizational goals. Stay up to date with the latest advancements in AI, frameworks, and software tools, integrating them into ongoing projects as needed. Required Skills Bachelor's degree in computer science, Engineering, or a related field 1+ year of hands-on experience with Generative AI, LLMs, and LangChain Proficient in building autonomous AI agents using LangChain, LlamaIndex, or Semantic Kernel Strong Python skills with experience in FastAPI/Flask, asyncio, Pandas, and NumPy Experience implementing short-term and long-term conversational memory Skilled in using vector databases like FAISS, Pinecone, Chroma, or Weaviate Capable of integrating external tools, APIs, and custom functions into LLM workflows Experience designing scalable, modular agent architectures Familiarity with workflow orchestration (LCEL, DAGs, or custom logic) Knowledge of Git, CI/CD pipelines, and containerization (Docker) Strong debugging, testing, and evaluation skills for AI agent behavior. Soft Skills: Problem-solving attitude. Good communication skills. Eagerness to learn and a team player mindset.

Role: Senior Data Scientist Location: Hyderabad Notice Period: Immediate to 15days About the Role We are looking for a Senior Data Scientist to design and build intelligent chatbot systems that can interpret natural language queries and interact with structured and unstructured data using Text-to-SQL, RAG (Retrieval-Augmented Generation), and Agentic reasoning. Youll lead the development of multi-modal, context-aware, and autonomous agents that use large language models to query databases, invoke tools, retrieve knowledge, and plan actions, all within enterprise-grade environments. Key Responsibilities Build Text-to-SQL agents that convert natural language into accurate, executable SQL across various schemas. Design RAG pipelines to enrich LLM outputs using internal documents, tables, and API-based retrievers. Develop agentic frameworks that enable tool use, database interaction, planning, and task decomposition using LLMs. Tune prompts and build evaluation systems for accuracy, latency, grounding, and correctness. Work with product and data teams to build domain-specific few-shot examples, tool definitions, and vectorized schema representations. Optimize inference latency using frameworks like LangChain, Semantic Kernel, or Llama Index. Required Skills 4+ years in Data Science or NLP, with 2+ years in LLM-based application development. Experience with Text-to-SQL modeling (Spider, BIRD, etc.) and fine-tuning using synthetic or annotated query datasets. Strong understanding of LLM orchestration tools (LangChain, Semantic Kernel, or custom agents). Hands-on with RAG architectures: embedding generation, retriever tuning, chunking strategies, and reranking. Proficiency in Python, SQL, and vector search tools (FAISS, Pinecone, Weaviate, OpenSearch). Familiarity with prompt tuning, structured output parsing, and function calling (OpenAI, Mistral, Anthropic, etc.). Leadership & Collaboration Lead experimentation and architectural design for agent-based workflows (SQL agents, document agents, hybrid search agents). Mentor junior team members in LLM prompt engineering, schema design, and text- to-structure pipelines. Collaborate with ML engineers, product managers, and data owners to implement scalable conversational AI interfaces. Nice to Have Experience with vLLM, LoRA fine-tuning, or quantized model deployment. Prior work in multi-agent planning, self-healing agents, or semantic query generation. Familiarity with tools like SQLGlot, DSPy, DeepEval, and OpenAI function tools. Knowledge of structured RAG (combining structured + unstructured sources) and hybrid ranking.

DR Automation Specialist Short department description: This role places a primary focus on designing and implementing automation solutions using Amelia, while leveraging your DR knowledge to ensure those workflows are operationally resilient, regulatory compliant, and recovery-ready. Youll be at the intersection of AI, infrastructure automation, and DR orchestration—bringing intelligence and efficiency to critical IT operations. Key Tasks: Design, develop, and maintain intelligent automation workflows using the Amelia AIOps platform, integrating conversational AI, cognitive agents, and adaptive process logic to streamline IT operations. Generative AI and agentic frameworks (e.g., Langchain, AutoGen, Semantic Kernel, LangGraph) to enable dynamic response and decision-making capabilities. Integrate Amelia automation with enterprise IT ecosystems, including ITSM tools (ServiceNow), observability platforms (Splunk, Dynatrace), cloud environments (AWS, Azure, GCP), and DevOps pipelines. Develop and maintain reusable automation components, APIs, and integrations (REST, GraphQL, Kafka) to ensure scalable and modular automation architectures. Utilize AI/ML models (built using frameworks like TensorFlow, PyTorch, Huggingface) to enhance anomaly detection, root cause analysis, and predictive automation within Amelia workflows. Build and manage infrastructure-as-code (IaC) and automation scripts using tools such as Ansible, Terraform, and scripting languages (Python, Bash, Java) to support orchestration and self-healing capabilities. Support the automation of Disaster Recovery (DR) workflows, ensuring failover/failback processes are effectively orchestrated and aligned with RTO/RPO requirements across infrastructure and application layers. Lead the onboarding of new applications and services to the DR resiliency automation platform, customizing automation paths to meet organizational recovery policies and compliance needs. Collaborate with DR, IT Ops, and Cloud teams to ensure all DR workflows are validated, tested, and audit-ready, with automation logs and dashboards built into the Amelia environment. Support incident and problem management processes of DRRO service Contribute to the evolution of automation and DR best practices, incorporating the latest advances in AIOps, Generative AI, and cloud-native tooling into operational standards. Qualification, education, work experience: Bachelor’s or Master’s degree in Computer Science, Business Information Systems, or related field, or equivalent practical experience

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: - A career in our Microsoft Dynamics team will provide the opportunity to help our clients transform their technology landscape across Front, Back and Mid-Office functions leveraging Salesforce. We focus on contributing to PwCs value proposition of strategy led, and technology enabled, by aligning our Consulting Solutions industry focus with the Salesforce technologies such as Salesforce Platforms, 365, Azure, Power Platform and Power BI. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmers and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. AI/ML Developer: Design, develop, and deploy AI/ML models in Azure App Services and Azure Kubernetes Service (AKS) Implement and optimize AI solutions using frameworks like Lang-Chain, Semantic Kernel, and PyTorch Develop and maintain applications using Microsoft .NET framework, integrating with Microsoft Teams and Graph API *Perform prompt engineering, tuning, and optimization of Large Language Models Handle data preprocessing and feature engineering for both structured and unstructured data Implement CI/CD pipelines using Azure DevOps Manage data storage solutions using Azure Blob Storage Collaborate with team members to ensure best practices in AI/ML development Document AI models, code, and processes clearly. Mandatory skill sets: Essential Skills: AI/ML development, Strong proficiency in Python, TypeScript, and/or C# Experience with AI frameworks including Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn Expertise in Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services Strong knowledge of NLP, LLMs, Vectorization, and Prompt Engineering Experience with Azure Text Analytics Proficiency in data engineering using Azure Data Factory and Azure SQL Database Experience with Azure DevOps and version control Understanding of cloud-based AI/ML deployment Experience with Microsoft Teams and Graph API integration Knowledge of data preprocessing and feature engineering techniques. Preferred skill sets: Desirable Skills: 1. AI/ML development, AI-900: Azure AI Fundamentals (Must Have) Good to have: 1. DP-100: Azure Data Scientist Associate (Preferred) Years of experience required: 3 to 7 Years Education qualification: B.Tech/B.E./MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AI Programming, Machine Learning Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Debugging, Emotional Regulation + 41 more Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship Government Clearance Required Job Posting End Date Show more Show less

As a Senior AI Architect at Copper Digital in Gurugram, you will be responsible for leading the design of cutting-edge AI solutions, particularly focusing on Generative AI, RAG models, Computer Vision, and OpenCV. Your role will involve building scalable, AI-driven applications to address complex business challenges. Your key responsibilities will include designing and implementing Generative AI, RAG, and Agentic AI solutions. You should be proficient in LangChain, LlamaIndex, AutoGen, and Semantic Kernel. Additionally, you will be developing recommendation systems, predictive models, and computer vision solutions using CNNs and image processing techniques. You will lead the end-to-end AI lifecycle from POC/MVP to production, leveraging expertise in Python, TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, and Google Cloud. Ensuring AI ethics and bias mitigation in model development is also a crucial aspect of your role. Desired skills for this position include a strong background in LLMs like GPT, BERT, LLaMA, and Bloom, as well as experience with classical AI methodologies such as decision trees, SVMs, and reinforcement learning. Proficiency in cloud and data management, along with excellent communication skills to effectively convey complex AI solutions to stakeholders, is highly valued. If you are ready to drive AI innovation, lead impactful projects, and contribute to the advancement of AI technology, we encourage you to apply for this exciting opportunity at Copper Digital in Gurgaon.,

Job Details: Position Title : AI Engineer Azure AI & Copilot Development Job Locatio n: Remote/Hybrid/Onsite Experience : 3-6 years. Job Summary We are looking for an AI Engineer to join our team and help us build intelligent solutions using Azure AI Foundry , Semantic Kernel , and Azure OpenAI . You will work on projects involving large datasets, smart copilots, and AI-driven automation for enterprise use cases. KEY RESPONSIBILITIES: Design and build intelligent agents using Azure AI Foundry and Semantic Kernel . Integrate LLMs (GPT-4, GPT-3.5) with enterprise data using Azure Cognitive Search and vector-based retrieval . Build Retrieval-Augmented Generation (RAG) pipelines to answer complex queries from structured/unstructured data. Develop custom skills, plugins, and workflows using Semantic Kernel Planner and Function Calling . Connect to and query data sources like Azure SQL, Synapse, Cosmos DB , and Data Lake using APIs or SDKs. Collaborate with frontend/backend teams to embed copilots in React or .NET-based applications. Use Azure Functions, Logic Apps, or Power Automate for task automation and backend orchestration. Deploy and secure solutions using Azure App Services, Containers , and Azure AD authentication . SKILLS & QUALIFICATIONS: Hands-on experience with Azure OpenAI , Cognitive Search , and Semantic Kernel . Good understanding of LLM-based agents , prompt engineering, and tool-use workflows. Proficiency in Python or .NET Core for backend development. Familiarity with REST APIs , data transformation , and cloud pipelines . Experience with cloud integration on Azure . Nice to Have Prior experience building copilots, chatbots, or knowledge assistants. Exposure to multi-agent architectures or agentic AI . Microsoft certifications (AI-900, AI-102, DP-203) are a plus. Why Work With Us Work on cutting-edge AI, Agentic AI, and Generative AI solutions. Flexible work setup with a fast-paced innovation culture. Exposure to real-world enterprise challenges and global client projects. Perks & Benefits Health & Accident Insurance Paid Leaves and Sick Leaves Education sponsorship / Certification Reimbursement Free Training Platforms Gym membership EPF, Gratuity.

Roles and Responsibilities: Working along with the Business Analyst, testing teams and coordinating for smooth delivery aligned with business requirements Design, develop, and deploy advanced AI/ML models across NLP, Computer Vision, and Generative AI projects. Research and implement GenAI applications using Azure OpenAI, MS Copilot Studio, Azure AI Foundry, and Azure Cognitive Services. Build agentic AI systems using frameworks like MS Autogen, LangChain, and Semantic Kernel for autonomous workflows and task orchestration. Performing code optimization and identifying potential issues and defects. Adhere to industry standard best practices for AI/ML development, evaluation and deployment, ensuring maintainable, scalable, and secure solutions. Analyzing the technical & functional feasibility of new use cases which needs to be automated Working on test procedures and scenarios for the pre-UAT phases Implementing change requirements supporting a structured change control process Monitoring and working on solving issues on day-to-day basis for the solutions developed and deployed Working with Business Analyst and SME for feasibility analysis Attending meetings for the solution development and problems identified with the solution Capable of taking up complex challenges in AI/ML/GenAI domain Mentor and train fellow COE members to cross skill on AI/ML technologies Knowledge and Skills Requirements: Agile mindset and team player. 5+ years of hands-on experience designing, developing, deploying, and maintaining AI/ML and Data Science solutions. Good to have experience in designing, developing, deploying and supporting UI/UX/Front end for the AI/ML solutions. Solid experience in Python with libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, SpaCy, and OpenCV. Proven expertise in GenAI and Agentic AI using frameworks like MS Autogen, LangChain, Semantic Kernel, and prompt engineering techniques. Strong experience with RAG pipelines, vector stores (e.g., Azure Cognitive Search,), and enterprise knowledge base integration. Proficient in Azure AI ecosystem: Azure Cognitive Services (Language, Vision, Speech), Azure Machine Learning, Azure AI Foundry, and Azure DevOps. Familiar with Git for version control and collaborative development. Strong knowledge and experience using LLM models. Hands on experience in designing, developing, and consuming SOAP/REST APIs Experience with Lean / Agile development methodologies. Capable of delivering on multiple competing priorities with little supervision Good verbal and written communication skills Willing to work in 24/7 shifts.

Time 9:30AM 6:30PM IST About the Role: We are looking for passionate and skilled Software Developers to join our Core AI Services team. In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. You will part of the team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up. Key Responsibilities: Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. AI & Cloud Expertise Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability. Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks. Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks / ools such as PyTorch and TensorFlow. Demonstrated experience with AI frameworks, tools and Python

Looking for candidates with exp in .net, Gen Ai with Semantic Kernel 8-10 years. Available immediately , no long notice candidates will be preferred

Looking for candidates with exp in .net, Gen Ai with Semantic Kernel 8-10 years. Available immediately , no long notice candidates will be preferred

About the Role We are seeking a Agentic AI Developer with 35 years of total software/AI experience and proven hands-on work in Agentic AI . The ideal candidate has built LLM-powered agents using frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel, and can design, deploy, and optimize autonomous AI systems for real-world business use cases. Key Responsibilities Architect, build, and deploy LLM-driven agents that can plan, reason, and execute multi-step workflows. Work with agent orchestration frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel, Haystack, etc.). Develop and maintain tools, APIs, and connectors for extending agent capabilities. Implement RAG pipelines with vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.). Optimize prompts, workflows, and decision-making for accuracy, cost, and reliability . Collaborate with product and engineering teams to design use-casespecific agents (e.g., copilots, data analysts, support agents). Ensure monitoring, security, and ethical compliance of deployed agents. Stay ahead of emerging trends in multi-agent systems and autonomous AI research . Required Skills 35 years of professional experience in AI/ML, software engineering, or backend development . Demonstrated hands-on experience in building agentic AI solutions (not just chatbots). Proficiency in Python (TypeScript/JavaScript is a plus). Direct experience with LLM APIs (OpenAI, Anthropic, Hugging Face, Cohere, etc.). Strong knowledge of vector databases and embeddings . Experience integrating APIs, external tools, and enterprise data sources into agents. Solid understanding of prompt engineering and workflow optimization . Strong problem-solving, debugging, and system design skills. Nice to Have Experience with multi-agent systems (agents collaborating on tasks). Prior contributions to open-source agentic AI projects . Cloud deployment knowledge ( AWS/GCP/Azure ) and MLOps practices. Background in reinforcement learning or agent evaluation . Familiarity with AI safety, monitoring, and guardrails . What We Offer Work on cutting-edge AI agent projects with direct real-world impact. Collaborative environment with strong emphasis on innovation & experimentation . Competitive salary and growth opportunities. Opportunity to specialize in one of the fastest-growing areas of AI . Show more Show less

You will be joining Argano, the world's largest global digital consultancy, as an innovative Azure AI Architect within the advanced AI engineering team. In this role, you will be at the forefront of applied AI, working on extending Microsoft Copilots, building Retrieval-Augmented Generation (RAG) pipelines, and developing intelligent AI agents for real-world business applications. Utilizing Azure AI Studio, Semantic Kernel, Azure AI Search, and other services across the Microsoft AI stack, you will play a crucial role in designing and implementing cutting-edge Azure AI solutions. Your key responsibilities will include acting as the AI subject matter expert in client engagements, workshops, and solution envisioning sessions; defining architectural patterns for integrating various AI technologies; designing and developing advanced AI pipelines; creating AI agents for dynamic workflows; and overseeing the technical leadership and delivery of AI implementations. You will also collaborate cross-functionally with different teams to align AI solutions with business goals, document technical designs, and stay updated on emerging AI/ML trends and tools to enhance AI initiatives. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience) and at least 5+ years of hands-on AI/ML engineering experience with a focus on Microsoft Azure. Proficiency in Azure AI Studio, Azure OpenAI Service, Azure Cognitive Search/AI Search, Semantic Kernel, LangChain, and strong Python and/or C# skills are required. Experience with Generative AI models, RAG-based applications, and deploying GenAI models in production is highly desirable. In addition to technical skills, you should possess excellent problem-solving and analytical abilities, strong communication and collaboration skills, and the ability to work effectively in a fast-paced, agile environment. Azure certifications, familiarity with REST APIs, Azure Functions, and plugin development, as well as knowledge of Responsible AI principles, prompt safety, and guardrail implementation are also beneficial for this role. Argano is a unique digital consultancy focused on high-performance operations, guiding enterprises through evolving markets with transformative strategies and technologies to drive efficiency, innovation, and growth while exceeding customer expectations. Join us in shaping the future of digital transformation and making a significant impact in the world of AI engineering.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. EY's GDS Tax Technology team's mission is to develop, implement, and integrate technology solutions that better serve our clients and engagement teams. As a member of EY's core Tax practice, you will develop a deep tax technical knowledge and outstanding database, data analytics, and programming skills. The ever-increasing regulations require tax departments to gather, organize, and study more data than ever before. Handling the variety and volume of data efficiently and effectively is often extremely challenging and time-consuming for a company. EY's GDS Tax Technology team members work closely with the firm's partners, clients, and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies, and enable clients with disruptive and market-leading tools supporting Tax. EY is currently seeking a Generative AI Application Developer (.NET) to join our Tax Technology practice in Bangalore & Kolkata, India. **The Opportunity:** We are looking for Tax Seniors with expertise in Full-stack Application Development using .NET C# for Generative AI applications to join the TTT team in Tax Service Line. This is a fantastic opportunity to be part of a pioneer firm while being instrumental in the growth of a new service offering. **Your Key Responsibilities:** - Design, develop, and implement AI agents/plugins/interfaces and APIs, ensuring integration with various systems aligns with the core product/platform development strategy. - Estimate and manage technical efforts, including work breakdown structures, risks, and solutions, while adhering to development methodologies and KPIs. - Maintain effective communication within the team and with stakeholders, proactively managing expectations and collaborating on problem-solving. - Contribute to the refinement of development/engineering methodologies and standards, anticipating potential issues and leading the resolution process. **Skills and Attributes for Success:** **Must-Have:** - Skilled in full-stack application development with .NET C#, REST Api, React, or any other typescript-based UI frameworks, SQL databases. - Advanced knowledge of Azure services such as Azure app services, Azure Functions, Entra ID, etc. - Containerization - Docker, Azure container apps, Azure Kubernetes Services (AKS). - No-SQL database such as Cosmos or MongoDB. - Working experience with source control such as git or TFVC. - CI/CD pipelines, Azure DevOps, GitHub Actions, etc. - Generative AI application development with Azure OpenAI, Semantic Kernel, and Vector databases like Azure AI search, Postgres, etc. - Fundamental understanding of various types of Large Language Models (LLMs). - Fundamental understanding of Retrieval Augment Generation (RAG) techniques. - Fundamental understanding of classical AI/ML. - Skilled in Advanced prompt engineering. **Nice-to-Have:** - Awareness about various AI Agents/Agentic workflow frameworks and SDKs. - Graph Database such as Neo4j. - Experience with M365 Copilot Studio. - Microsoft Azure AI-900/AI-102 Certification. **Behavioural Skills:** - Excellent learning ability. - Strong communication skills. - Flexibility to work both independently and as part of a larger team. - Strong analytical skills and attention to detail. - The ability to adapt your work style to work with both internal and client team members. **To qualify for the role, you must have:** - Bachelor's/master's degree in software engineering/information technology/BE/B.TECH. - Overall 5-9 years of experience. **Ideally, you'll also have:** - Thorough knowledge of Tax or Finance Domain. - Strong analytical skills and attention to detail. EY offers a dynamic and truly global delivery network with opportunities to work with well-known brands from across the globe. You will collaborate with EY teams on exciting projects, develop your skills and insights, and be a part of a diverse and inclusive culture where you can make a meaningful impact your way. EY is committed to building a better working world by creating long-term value for clients, people, and society and building trust in the capital markets. Join us on this journey to ask better questions and find new answers to the complex issues facing our world today.,

We are searching for a Senior Software Engineer in AI who possesses more than 3 years of practical experience in Artificial Intelligence and Machine Learning and has a strong enthusiasm for innovation. This position is perfect for an individual who excels in a startup setting that is fast-paced, product-oriented, and filled with opportunities to create a meaningful difference. Your main responsibility will be to contribute to the development of intelligent, scalable, and production-ready AI systems, with a particular emphasis on Generative AI and Agentic AI technologies. Key Responsibilities: - Developing and implementing AI-powered applications and services, with a focus on Generative AI and Large Language Models (LLMs). - Designing and executing Agentic AI systems that consist of autonomous agents capable of planning and executing multi-step tasks. - Collaborating with various teams such as product, design, and engineering to seamlessly integrate AI capabilities into products. - Crafting clean, scalable code and establishing robust APIs and services to facilitate the deployment of AI models. - Taking charge of feature delivery from start to finish, including research, experimentation, deployment, and monitoring. - Keeping abreast of the latest AI frameworks, tools, and best practices and leveraging them in product development. - Contributing to a culture of high performance within the team and providing mentorship to junior team members when necessary. Required Skills: - A total of 6 years of software development experience, with at least 3 years dedicated to AI/ML engineering. - Proficiency in Python, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). - Demonstrated expertise in working with LLMs (e.g., GPT, Claude, Mistral) and various Generative AI models (text, image, or audio). - Practical knowledge of Agentic AI frameworks such as LangChain, AutoGPT, and Semantic Kernel. - Experience in constructing and deploying ML models in production environments. - Familiarity with vector databases like Pinecone, Weaviate, FAISS, and prompt engineering concepts. - Comfortable operating in a startup-like atmosphere - self-driven, adaptable, and eager to take on responsibilities. - Sound understanding of API development, version control, and contemporary DevOps/MLOps procedures. This is a permanent position that requires in-person work.,

The role of an AI Architect involves leading the design and development of intelligent enterprise solutions powered by Microsoft Copilot, Azure AI, and agentic frameworks. This position presents a unique opportunity to influence the application of AI in practical business scenarios by integrating large language models, natural language interfaces, and multi-step intelligent workflows into enterprise systems. If you are enthusiastic about creating human-like, context-aware digital agents capable of automating, orchestrating, and transforming workflows, this role is tailored for you. Responsibilities include architecting and implementing AI solutions using Microsoft 365 Copilot, designing and developing agentic workflows across Microsoft 365 and Azure ecosystems, building use cases for various domains using agentic frameworks, creating extensible copilots by integrating enterprise data through various frameworks, designing natural language-driven user experiences, collaborating with cross-functional teams to transform requirements into scalable solutions, defining and promoting standards for prompt engineering, responsible AI, security, and performance optimization, and staying updated on Microsoft's AI roadmap and evolving capabilities. The ideal candidate for this role should have experience in building intelligent applications using REST APIs and SDKs, integrating AI into enterprise workflows and business logic, and working collaboratively with data scientists, architects, and engineering teams. Additionally, the candidate should possess a total of 10-15 years of IT industry experience, with a minimum of 4+ years in Azure AI solutions, enterprise architecture, or AI/ML-focused development roles. Preferred certifications include Azure AI Engineer Associate (highly recommended) and Azure Solutions Architect Expert (good to have). If you are a forward-thinking individual with a passion for AI and a strong background in Azure AI solutions, this role offers a platform to drive innovation and make a significant impact in the field of artificial intelligence.,

Senior GenAI & Agentic AI Expert (Architect) Relocation to Abu Dhabi, UAE Location: Abu Dhabi Client: Abu Dhabi Government About The Role Our client, a global consulting firm with distributed teams across the US, Canada, UAE, India, and PK, is hiring a high-caliber Senior Generative AI Expert with proven hands-on experience in building Agentic AI applications . This role is ideal for someone who has a total of 12 to 20+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks . Key Responsibilities Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar) Architect and implement multi-agent systems for enterprise-grade solutions Integrate AI agents with APIs, databases, internal tools, and external SaaS products Lead and mentor a cross-functional team across global time zones Optimize performance, context retention, tool usage, and cost efficiency Build reusable pipelines and modules to support GenAI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments Collaborate directly with clients and senior stakeholders Ideal Candidate Profile 10 to 15+ years of professional experience in software engineering and AI/ML 3+ years of practical experience in LLM-based application development Strong track record of delivering Agentic AI systems (not just chatbot interfaces) Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel OpenAI, Claude, Gemini, Mistral, or Llama2 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) Prompt engineering, RAG, memory/context management Serverless, Python, Node.js, AWS/GCP/Azure cloud Experience leading engineering teams and working with enterprise clients Excellent communication, documentation, and stakeholder management skills Must be open to relocation to UAE Why Join Work on UAE Government project(s) Lead cutting-edge Agentic AI projects at enterprise scale Collaborate with senior teams across US, Canada, UAE, India, and PK Competitive compensation + long-term career roadmap Skills: memory/context management,apis integration,enterprise-grade security,crewai,saas products integration,aws,semantic kernel,prompt engineering,openai,node.js,multi-agent systems,azure,databases integration,gemini,cost efficiency,embedding models,rag,autogpt,performance optimization,llm frameworks,agentic ai,generative ai,langchain,gcp,python,vector databases Show more Show less