290 Agentic Ai Jobs

We are looking for a highly skilled and experienced Senior AI Engineer to take charge of designing, developing, and implementing cutting-edge AI systems. Your role will involve working on advanced machine learning models, natural language processing, computer vision, and AI infrastructure to address real-world challenges and foster innovation across our products and services. As a Senior AI Engineer, your key responsibilities will include designing, developing, and deploying scalable AI/ML models for production environments. You will lead end-to-end AI project lifecycles, starting from data collection and preprocessing to model training, evaluation, and deployment. Collaboration with cross-functional teams comprising data scientists, software engineers, and product managers will be essential. Moreover, you will be tasked with optimizing model performance to ensure robustness, fairness, and explainability, while staying abreast of the latest AI and machine learning research and advancements. Mentoring junior engineers and contributing to the establishment of a robust AI engineering culture will also be part of your role. The ideal candidate should possess a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred) along with a minimum of 5 years of experience in AI/ML engineering, showcasing a strong portfolio of deployed models. Proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc., as well as experience with cloud platforms (AWS, Azure) and MLOps tools are required. A solid grasp of data structures, algorithms, and software engineering principles is crucial, along with excellent problem-solving and communication skills. Preferred qualifications for this role include experience with LLMs, RAG, or agentic AI (Crew AI) systems, familiarity with vector databases, prompt engineering, and AI safety practices, contributions to open-source AI projects or published research papers, and experience with real-time inference systems and edge AI.,

The Market Research Intern at USEReady will play a crucial role in supporting strategic initiatives by providing deep, data-driven insights into the evolving Data and AI landscape. You will collaborate with the Strategy and Innovation teams to explore emerging trends in Agentic AI, data platforms, and enterprise AI adoption. By conducting in-depth market research and applying advanced research methodologies, you will analyze market dynamics, competitive positioning, and client needs within the rapidly evolving tech consulting space. Key responsibilities of this role include conducting detailed market research on Agentic AI, data engineering, cloud platforms, and digital transformation trends. You will also analyze competitive intelligence, benchmark leading players in the AI consulting and enterprise services space, and apply advanced techniques to uncover insights. Supporting go-to-market strategies with data-backed recommendations, designing and analyzing surveys, expert interviews, and secondary research will be part of your daily tasks. Additionally, you will create compelling dashboards and visual reports for internal stakeholders and leadership. To qualify for this position, you should have an MBA (or currently pursuing) from a top-tier institution, preferably with a focus on Strategy, Technology Management, or Analytics. A strong understanding of the Data & AI ecosystem, including Agentic AI, cloud platforms (Azure, AWS, GCP), and enterprise data solutions is required. Proficiency in data analysis tools such as Python, R, SQL, and Excel, as well as experience with data visualization tools like Tableau, Power BI, or Looker, is essential. Familiarity with market research techniques and excellent communication skills are also necessary. Being a self-starter with strong organizational skills and the ability to manage multiple priorities in a fast-paced environment is vital. Prior experience in consulting, tech strategy, or analytics is considered a strong advantage. Working as a Market Research Intern at USEReady, you will gain exposure to cutting-edge Agentic AI and data consulting projects, hands-on experience with strategic market research in a high-growth tech environment, and mentorship from industry leaders in AI, data science, and digital strategy. You will have the opportunity to contribute to real-world business decisions and client engagements. To apply for this position, please submit your resume, a brief cover letter, and any relevant work samples or project portfolios to [careers@useready.com].,

As an Emerging Tech Specialist at our Applied Research center, you will focus on applying scientific and technical research to solve practical problems and develop new products or processes within a specific industry or field. Your responsibilities will include conducting research, analyzing data, and developing solutions that can be implemented in real-world settings. You will define the research agenda and collaborate with academia and partners to conduct applied research. Additionally, you will be responsible for building tech playbooks that can be utilized by product and implementation teams. Your key responsibilities will involve researching emerging tech trends, the ecosystem of players, use cases, and their impact on client businesses. This will include scanning and curating startups, universities, and tech partnerships to create an innovation ecosystem. You will rapidly design and develop Proof of Concepts (PoCs) in emerging tech areas, sharing design specifications with team members, integrating, and testing components. Furthermore, you will contribute to thought leadership by developing showcases that demonstrate the application of emerging technologies in a business context. As part of the Applied Research Center activities, you will contribute to the design, development, testing, and implementation of proof of concepts in emerging tech areas. You will also be involved in problem definition and requirements analysis, developing reusable components, and ensuring compliance with coding standards and secure coding guidelines. Your role will also include innovation consulting, where you will understand client requirements and implement solutions using emerging tech expertise. Additionally, you will be responsible for talent management, mentoring the team to acquire identified emerging tech skills, and participating in demo sessions and hackathons. You will work with startups to provide innovative solutions to client problems and enhance our offerings. In terms of technical requirements, you should have expertise in various emerging areas such as Advanced AI, New Interaction Models, Platforms and Protocols, Cybersecurity, Quantum, Autonomous Machines, and Emerging Research areas like Brain AGI and Space Semicon. You will also need advanced theoretical knowledge, experimental design expertise, data analysis skills, prototype development capabilities, and research tool proficiency. Preferred skills include experience in User Experience Design, Artificial Intelligence, Cybersecurity Competency Management, Machine Learning, Robotics Algorithms, and X Reality (XR) technologies. Soft skills like a collaborative mindset, communication skills, problem-solving approach, intellectual curiosity, and commercial awareness will be beneficial for this role.,

As a Director of AI Lab at McDonalds Corporation, you will play a crucial role in driving research and evaluation of cutting-edge AI technologies to enhance the organization's innovation and AI strategy. Your primary responsibilities will include defining and executing a comprehensive AI ecosystem strategy aligned with business goals, leading a team of AI experts, overseeing the development of advanced AI models, fostering collaboration with internal and external stakeholders, and promoting ethical AI practices. Your strategic vision will involve identifying high-impact AI use cases, establishing a roadmap for AI development, and prioritizing research initiatives. You will be expected to build and manage a high-performing team of AI professionals, create a culture of innovation and experimentation, and provide mentorship for career development. Additionally, you will lead the development of advanced AI models, conduct research to explore new techniques, and validate AI solutions through proof-of-concept projects. Collaboration and stakeholder management will be essential aspects of your role, as you partner with cross-functional teams to implement AI solutions, communicate technical concepts to non-technical stakeholders, and build relationships with external partners to enhance the AI ecosystem community. Furthermore, you will champion ethical AI practices by ensuring data privacy, fairness, and responsible development of AI models, while establishing guidelines for data governance and model transparency. To qualify for this position, you should possess a Bachelor's degree in data science, Computer Science, Business, or Analytics, with a preference for a Masters or PhD. You should have 15+ years of experience in AI/ML or related fields, with hands-on experience in building and deploying AI solutions. Proficiency in programming languages such as Python, R, or Java, as well as experience with AI/ML frameworks like TensorFlow and PyTorch, is required. Familiarity with AI techniques such as deep learning, reinforcement learning, generative AI, Agentic AI, and Edge AI is essential, along with experience in ML frameworks and large-scale AI system design. Start-up and entrepreneurship experience will be considered a plus, and the ability to effectively communicate complex AI concepts to non-technical stakeholders is crucial. This full-time role is based in Hyderabad, India, and follows a hybrid work mode. If you are a seasoned AI professional with a passion for driving innovation and leading high-performing teams, we invite you to join us at McDonalds Corporation and make a significant impact on our global AI strategy.,

Location: United States - Preferably North America Region (Remote / Hybrid with travel as required) Reports To: Head of Business U.S. Market Type: Full-Time Start Date: Immediate Role Overview Impiger Technologies is seeking a results-driven Sales Executive to drive business growth across the U.S. market. This role focuses on selling Impigers differentiated digital solutionsincluding Super App development, Agentic AI, Identity & Access Management (IAM), modern product engineering, and customer/employee experience transformation. With an annual sales target of $8$10M, the role demands a consultative selling approach and experience handling $1M to $5M+ deal sizes. The candidate should bring a solid understanding of enterprise IT needs and be comfortable selling into mid-to-large enterprises across multiple industries. Key Responsibilities Lead the full sales lifecycle from lead identification to contract closure Identify, pursue, and close complex deals ranging from $2M to $5M+, with a focus on new logo acquisition and expansion within key accounts Sell across Impigers solution portfolio: - Super Apps and composable digital platforms - Agentic AI and GenAI-led innovation - IAM, cybersecurity, and GRC frameworks - Cloud-native product engineering and digital modernization - Customer and Employee Experience (CX/EX) enablement Engage senior decision-makers (CIOs, CTOs, CDOs, COOs) and build long-term strategic relationships Collaborate with delivery, architecture, and marketing teams to tailor solution pitches and proposals Navigate complex procurement processes, RFPs, and enterprise contracting cycles Show more Show less

The Opportunity The Sr. Director/Director Transformation is vital to the organization&aposs success. The role involves driving transformation initiatives across the Travel & Hospitality and Logistics sectors. This position is responsible for identifying emerging technologies through market research and designing AI-driven solutions tailored to client needs. By conducting technology and analytics assessments, the role ensures impactful business outcomes and strategic alignment. Collaboration is key, as the role works closely with cross-functional teams including pricing, IT development, and finance to deliver comprehensive transformation projects. The Responsibilities & Duties Driving transformation initiatives across Travel & Hospitality and Logistics domains by identifying opportunities through market research and emerging technologies. Designing and presenting AI-based technology solutions to clients, supported by thorough technology and analytics assessments to determine business impact. Collaborating on consulting assignments to deliver customized transformation strategies aligned with client goals. Working cross-functionally with pricing, IT development, and finance teams to ensure successful project closure and alignment with financial objectives. Assisting the finance team in drafting proposals, including detailed CapEx and OpEx costing to support strategic decision-making. Driving the deployment of transformation solutions, ensuring seamless execution and alignment with client expectations. Preparing and presenting comprehensive technology solution proposals, including assessments and financial evaluations. Managing joint assignments with clients, facilitating smooth coordination across functions and stakeholders. Evaluating capital and operational expenditures to ensure financial soundness and alignment with business goals. The Requirements 10+ years of experience in the BPO industry, with deep expertise in Travel & Hospitality transformation initiatives Exposure to Agentic AI and Next Best Action tools, with practical application in business contexts Strong financial acumen and consultative approach to solution design and delivery Proven track record of delivering measurable ROI through strategic transformation projects Hands-on experience in project management, particularly in deploying technology solutions Demonstrated ability to lead cross-functional teams and drive tech-enabled change Excellent interpersonal skills for effective collaboration across diverse teams and stakeholders Strong communication skills with the ability to present ideas clearly and influence decision-makers The Leadership Competencies for Exceptional Potential Are Smart and Decisive with Data The ability to identify patterns across situations that are not related and to identify fundamental or underlying issues in complex problems using data. Transformational Leader Empathy, E.I. & Resilience Awareness and understanding of your strengths, limitations, values, how you best perform, and your ability to manage feelings, thoughts, and behaviors lead to successful interactions and relationships. Agile Mindset Promote a culture of continuous feedback and improvement, allowing teams to react quickly to change, preventing issues by optimizing progress speed, and enabling teams to reroute as necessary based on the dynamic BPO cadence. Adaptability The ability to effectively adapt to various situations, individuals, or groups, understand and appreciate different and opposing perspectives, and adjust the approach as the requirements change. Global Thinker The ability to develop a broad, big-picture view of Teleperformance and its mission, considering threats, trends, opportunities, and stakeholder focus, links long-range vision to work daily. Innovative and Creative The ability to imagine something new and realize it. Purposeful and Impactful Be constantly aware of the reason for doing something, the significance of what you are doing, and the effect it will have. A True Partner The ultimate collaborator seeking to add value in every interaction, sensing joint accountability in all business scenarios Authentic and Connected Leader The ability to understand other people, hearing and understanding the expressed thoughts, feelings, and concerns of others, fosters a psychologically safe environment that will encourage professional and personal growth, leading to the development of future talent. Infinite Learner Forever curious to pursue the learning opportunities provided, discover their own, and constantly learn on the job. Digitally Smart Adapt rapidly to new technology when needed, including integrating and accepting new system tools, applications, and methods. Employ technology to optimize organizational and individual performance. Show more Show less

The Opportunity The Sr. Director/Director Transformation is vital to the organization&aposs success. The role involves driving transformation initiatives across the Travel & Hospitality and Logistics sectors. This position is responsible for identifying emerging technologies through market research and designing AI-driven solutions tailored to client needs. By conducting technology and analytics assessments, the role ensures impactful business outcomes and strategic alignment. Collaboration is key, as the role works closely with cross-functional teams including pricing, IT development, and finance to deliver comprehensive transformation projects. The Responsibilities & Duties Driving transformation initiatives across Travel & Hospitality and Logistics domains by identifying opportunities through market research and emerging technologies. Designing and presenting AI-based technology solutions to clients, supported by thorough technology and analytics assessments to determine business impact. Collaborating on consulting assignments to deliver customized transformation strategies aligned with client goals. Working cross-functionally with pricing, IT development, and finance teams to ensure successful project closure and alignment with financial objectives. Assisting the finance team in drafting proposals, including detailed CapEx and OpEx costing to support strategic decision-making. Driving the deployment of transformation solutions, ensuring seamless execution and alignment with client expectations. Preparing and presenting comprehensive technology solution proposals, including assessments and financial evaluations. Managing joint assignments with clients, facilitating smooth coordination across functions and stakeholders. Evaluating capital and operational expenditures to ensure financial soundness and alignment with business goals. The Requirements 10+ years of experience in the BPO industry, with deep expertise in Travel & Hospitality transformation initiatives Exposure to Agentic AI and Next Best Action tools, with practical application in business contexts Strong financial acumen and consultative approach to solution design and delivery Proven track record of delivering measurable ROI through strategic transformation projects Hands-on experience in project management, particularly in deploying technology solutions Demonstrated ability to lead cross-functional teams and drive tech-enabled change Excellent interpersonal skills for effective collaboration across diverse teams and stakeholders Strong communication skills with the ability to present ideas clearly and influence decision-makers Show more Show less

Overview Come join as a Software Engineer 2 on the Financial Planning and Analysis (FP&A) team. You will join an innovative and passionate team of engineers using cutting edge technologies like React, Spring Boot, Kubernetes, AWS, Agentic AI and globally distributed services. We are looking for a Full stack engineer with a strong background in back-end web technologies (Java, SpringBoot, REST services, etc.) You will be working on features and services that enhance the product set and delight our Small Business customers. Hands on AI experience is a must This position requires strong software engineering skills. If you love solving real-world challenges and making customers happy while fostering your desire to write perfect code and user experience, this is the job for you. Along with coding, you will be responsible for working with product managers, backend developers, and designers on our agile team structure. We love product engineers who lead the charge, communicate with customers and deliver the most beautiful, intuitive application. What you&aposll bring 4+ years of experience designing and developing consumer-facing web applications. BS/MS in computer science or equivalent work experience. Strong experience with Kotlin/Java and Web technologies. 4+ years experience with APIs (creating and consuming) with REST or GraphQL API modeling. 3+ years of experience with UI frameworks like React, Angular and JavaScript in a single page architecture. Experience with unit testing & Test Driven Development (TDD). Experience with Postgres, Data Lake, Kafka, & schema modeling will be a plus. Solid foundation in writing scalable web application code following best practices of accessibility, internationalization and instrumentation. Good understanding of Software Design, Architecture and working with large scale systems. Solid communication skills How you will lead Designing/developing web, software, mobile apps, prototypes, or proofs of concepts (POCs) Roughly 90+% hands-on coding. Use your coding expertise to design and implement scalable, modular and secure services. Resolve defects/bugs during QA testing, pre-production, production, and post-release patches Contribute to the design and architecture of the project Work cross-functionally with various Intuit teams: product management, various product lines, or business units to drive forward results Experience with Agile Development, SCRUM, or Extreme Programming methodologies Show more Show less

The Sales Executive position at Impiger Technologies is an exciting opportunity for a highly motivated individual to drive business growth in the U.S. market. As a Sales Executive, your primary responsibility will be to sell Impiger's innovative digital solutions, which include Super App development, Agentic AI, Identity & Access Management (IAM), modern product engineering, and customer/employee experience transformation. You will be targeting mid-to-large enterprises in various industries, using a consultative approach to achieve an annual sales target of $8-$10 million. Your key responsibilities will include leading the entire sales process from identifying leads to closing contracts. You will focus on pursuing and closing complex deals ranging from $2 million to $5 million or more, with an emphasis on new customer acquisition and expanding relationships within existing key accounts. You will be required to sell across Impiger's solution portfolio, engaging with senior decision-makers such as CIOs, CTOs, CDOs, and COOs to build long-term strategic partnerships. To excel in this role, you must collaborate closely with internal teams, including delivery, architecture, and marketing, to customize solution pitches and proposals according to the client's needs. Additionally, you will need to navigate through complex procurement processes, RFPs, and enterprise contracting cycles efficiently. If you are a results-driven individual with experience in handling deals of $1 million to $5 million+, and possess a solid understanding of enterprise IT requirements, this is the perfect opportunity for you to showcase your skills and contribute to Impiger's growth in the U.S. market. Join us in our mission to deliver cutting-edge digital solutions and drive business success for our clients.,

Project Overview We are seeking a Senior Agentic AI Engineer to lead the design and development of an enterprise-grade Agentic AI framework. This framework will empower various business units across the organization to build intelligent, autonomous agents capable of handling complex workflows, using tools, interacting with APIs, and making decisions with minimal human intervention.This role requires deep expertise in architecting scalable, modular AI systems using LLMs, tool integration, memory systems, and agent orchestration. This role is ideal for someone who has hands-on experience with agentic AI frameworks like LangGraph, CrewAI and AutoGPT and a deep understanding of enterprise software engineering and system architecture. Experience : 3.5 - 6 years Position : AI Engineer Skills Required : Python, Agentic AI, AI Models, Agentic Framework, Agentic Workflows, Langgraph OR CrewAI, Open source, data science Exposure Role and Responsibilities Architect and build a reusable, secure, and scalable Agentic AI framework that can be adopted by multiple teams across the enterprise. Define standards, patterns, and abstractions for building intelligent agents using LLMs and other foundational models. Leverage and extend frameworks like LangGraph, CrewAI, or Semantic Kernel to enable advanced agentic capabilities such as (Long-horizon task planning, Tool calling (APIs, databases, RPA, internal services), Memory persistence and retrieval (via vector stores or knowledge graphs),Autonomous decision-making and reflection,Multi-agent orchestration and collaboration, Human-in-the-loop workflows,Monitoring and observability,Governance and compliance,Security and access control,Performance optimization and cost management Collaborate with cross-functional teams to ensure the framework aligns with enterprise-grade expectations. Integrate the framework with existing enterprise platforms. Conduct research and stay updated on the latest advancements in Agentic AI, LLMs, and related technologies. Mentor and guide junior engineers in best practices for building agentic systems. Coach and guide engineering teams in adopting and extending the framework. Show more Show less

What is Contentstack Contentstack is on a mission to deliver the world&aposs best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today&aposs crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let&aposs go! Roles & Responsibilities The primary purpose of this role is to be part of the R&D Disruptive product team ideating, developing the MVP product developing new products.. Working with emerging technologies Trying out new Technologies and developing prototypes Work with different product and engineering teams for adoption of the emerging tech within the stable products Work across the stack from a code commit to running it in production, with the end goal of delivering the best possible experience for the user Design, develop and test features from inception to rollout Write high quality code that is scalable, testable, maintainable and reliable Collaborate with people across roles to understand the domain and work towards building the right solution Adopt an open mindset for learning new things and working in new roles Continuously improve by working on and providing feedback Requirements Knoweledge of Generative AI (LLM) Experince in integrating with LLM APIs like(function calling, MCP) Experince in working with LLM Agents and creating Agentic AI solution Experince in creating RAG pipeline. experince in Prompt Engineering Ability to learn new skills quickly and apply them to solving tough problems Object-oriented design and development skills Good understanding of the Software Development Life Cycle Knowledge of the following: Html, CSS, Javascript, Node.js Good communication skills Exposure to databases like MongoDB, Redis, and/or any Relational databases is preferred What Really Gets Us Excited About You Working independently on the emerging technologies Curiosity and deep interest in solving problems Project/intern experience in working with software product companies What Do We Offer Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you&aposre doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don&apost believe in artificial hierarchies. If you&aposre part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it&aposs a great time to be joining To review our Privacy Policy, please click here. Show more Show less

SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members Primary Skill Set: Microservices LLM, Agentic AI Framework, Predictive modelling

We are looking for an intern who has prior exposure to Generative AI solutions either through a certification course or previous internship. If youve already build automation solutions using CustomGPT, AI Agents & Agentic AI and want to work on real-world applications, this is your chance! Requirements Completed a certification or internship in Generative AI / Prompt Engineering Hands-on experience with LLM's tools like ChatGPT, Gemini or other Gen AI application Eagerness to explore AI in business, marketing & automation Bonus: Familiarity with Agentic tools like make.com, n8n, etc Role Highlights Work on live AI projects (prompts, content, automation) Research AI trends and build internal use cases Build AI marketing autiomation with Agentic AI Contribute to AI-based tools and workflow testing Selection Process Online written assessment Hands on plus practicle asesment Interview with our team Benifits: Certificate on Internship 6 months to 1 Year Attractive stipend

We are hiring AL/ML Engineers with 5–8 years of experience in AI/ML, Agentic AI, Gen AI, TensorFlow, RAG pipelines, and LLM flows. Required Candidate profile Experienced AI/ML Engineer with expertise in Agentic AI, Gen AI, TensorFlow, RAG pipelines, and LLM workflows. Seeking challenging lead-level opportunities. Ready to join within 30 days.

Genpact is a global professional services and solutions firm committed to delivering outcomes that help shape the future. With a team of over 125,000 individuals across 30+ countries, we are driven by curiosity, entrepreneurial agility, and a desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500, utilizing our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist specializing in Azure Generative AI & Advanced Analytics. As a highly skilled and experienced professional, you will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. Your role will be crucial in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets for actionable insights and data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging various platforms including AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines to efficiently process and analyze large-scale datasets. - Implement Agentic AI techniques to develop intelligent, autonomous systems capable of making decisions and taking actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models and data-driven solutions, refining and optimizing them as necessary. - Stay updated with the latest industry trends, tools, and technologies in data science, AI, and generative models to enhance existing solutions and develop new ones. - Mentor and guide junior team members to aid in their professional growth and skill development. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Keep abreast of advancements in AI, ML, and data science and apply best practices to enhance business operations. Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is advantageous. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. Job Title: Principal Consultant Location: India-Noida Schedule: Full-time Education Level: Bachelor's / Graduation / Equivalent Job Posting: Apr 11, 2025, 9:36:00 AM Unposting Date: May 11, 2025, 1:29:00 PM Master Skills List: Digital Job Category: Full Time,

About the Role: We are seeking a talented AI Engineer with strong expertise in Large Language Models (LLMs) and AI agent frameworks to help us build next-generation AI-powered systems. You will work on everything from fine-tuning open-source models to building intelligent agent workflows using tools like LangGraph , LangChain , and others. You'll also deploy services at scale using modern DevOps and cloud infrastructure. Key Responsibilities: Fine-tune and adapt open-source LLMs (e.g., LLaMA 4, Mistral, Falcon) using NVIDIA GPUs for domain-specific tasks. Design and build AI agents capable of reasoning, planning, and tool use using frameworks like LangGraph , LangChain , and AutoGen . Implement structured, multi-step workflows for agents including memory management, tool calling, human-in-the-loop logic, and retry/error recovery strategies. Integrate proprietary LLMs (e.g., OpenAI, Claude) and Open Source LLM (e.g. Llama 4) for hybrid solutions using APIs and plugins. Develop scalable backend systems using FastAPI and containerized applications using Docker . Deploy and manage models on AWS , Azure , or other cloud providers, with a focus on scalability and reliability . Monitor and optimize infrastructure to ensure performance under variable traffic loads. Requirements: Strong experience in fine-tuning LLMs , optimized with NVIDIA GPU toolkits (CUDA). Proficient in building LLM-powered AI agents using tools like: LangGraph (for stateful agent workflows) LangChain (chains, memory, and tools) AutoGen or CrewAI (multi-agent collaboration) Solid grasp of agent orchestration concepts such as state machines, task decomposition, tool selection, and intermediate reasoning steps. Hands-on with OpenAI/Anthropic APIs , including function calling, tool use, prompt engineering and context management. Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., Weaviate, FAISS, Pinecone) Experience building and exposing REST APIs using FastAPI , with production-grade containerization in Docker . Deep understanding of cloud deployment and infrastructure scaling using services like AWS EC2/S3, Lambda, Azure Functions, AKS, or ECS. Familiar with monitoring tools and CI/CD workflows (e.g., GitHub Actions, Prometheus, Grafana). Nice to Have: Experience with: LangServe , Semantic Kernel , Haystack , or SuperAGI Open-source contribution in agent orchestration frameworks Exposure to event-driven architecture, streaming (Kafka/PubSub), and async task orchestration (Celery, Ray) Preferred Qualifications: Bachelor's or master's in computer science, Machine Learning, or a related field. Previous experience deploying agent-based AI systems in production environments. Strong problem-solving, system design, and cross-functional collaboration skills are important. What We Offer: Work on cutting-edge AI agent technology solving real-world problems. A collaborative and ownership-driven environment with growth opportunities.

Hello Everyone currently hiring for - GEN AI Dev experience 3 to 6 years Location only Bangalore immediate to serving notice period may apply Good in coding (Preferably Python) and DSA Familiarity with React, HTML, CSS, JS or similar frameworks Familiarity with HTTP, REST, microservices, concurrency and Multithreading Experience working with Linux OS, TCP/IP networks, Database, Queues, caching Good problem solving and communication skills Willingness to work in a dynamic and fast paced environment. 2-4 years of experience with a Bachelor / Master's Degree in Computer Science or equivalent. Ownership and commitment towards work Experience with Gen-AI technologies (LLM prompt engineering)

The Lead Data Scientist position within the J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team offers a unique opportunity to be at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. As a key member of the team, you will be responsible for leveraging advanced analytics, AI, and Machine learning technologies, including Large Language Models (LLMs), to transform how compliance, conduct, and operational risks are managed across the organization. Your primary responsibilities will include designing, deploying, and managing AI/ML models using advanced techniques such as LLMs and Agentic AI for developing compliance and risk management solutions. You will collaborate with cross-functional teams to identify requirements, conduct research on AI techniques, and effectively communicate technical concepts to both technical and non-technical stakeholders. Additionally, you will play a crucial role in analyzing and interpreting data to evaluate model performance and identify areas for improvement. To excel in this role, you are required to have a Master's degree in a quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics, etc. from a top-tier university. You should have at least 12+ years of experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Proficiency in programming languages like Python, experience with frameworks like PyTorch or TensorFlow, and a solid understanding of machine learning concepts, including transformers and language modeling, are essential. Strong problem-solving skills, excellent communication abilities, and familiarity with data structures and algorithms for effective problem-solving in machine learning workflows are also required for this role. Join our CCOR Data Science team and be part of a leading analytics community where you will have opportunities for skill development and career growth in AI, machine learning, and data science.,

As an AI Senior Developer in the Sales Cloud team at SAP, your primary responsibility will be to develop product features within the Sales portfolio, integrating AI-driven solutions, and helping the team deliver services on the cloud-native stack on a continuous basis. You will work with a highly motivated and talented set of colleagues, translating business requirements into scalable and performant technical solutions. Your role will involve designing, coding, testing, and assuring the quality of complex AI-powered product features within the Customer Experience & Sales portfolio. To excel in this role, you should bring at least 4-9 years of software engineering experience, with significant exposure to building products on the cloud-native stack. Strong knowledge of Computer Science fundamentals is essential, along with proficiency in Python/Java; Spring Boot experience is preferred. Familiarity with JavaScript, experience with Angular or ABAP, and hands-on experience with Git and CI/CD pipelines are desired qualifications. You should have a proven track record of writing production-grade code for enterprise-scale systems and experience with SQL databases; knowledge of NoSQL and event streaming (e.g., Kafka) is a bonus. Additionally, experience working with LLMs and generative AI frameworks (e.g., OpenAI, Hugging Face, etc.) is valuable. Demonstrated ability to build or integrate AI-driven features into enterprise applications is key, and familiarity with SAP software (e.g., SAP S/4HANA, SAP Business Technology Platform) is an asset. Knowledge of Agentic AI and frameworks is also beneficial. Strong collaboration and communication skills are crucial for success in this role, along with experience using tools like JIRA for tracking tasks and bugs. Joining the SAP CX team means positively impacting how businesses are run globally. SAP CX is a leader in enterprise cloud applications for cloud CRM and DXP solutions, empowering organizations to understand their customers better and engage with relevance and personalization. At SAP, we believe in a culture of inclusion, focus on health and well-being, and flexible working models to ensure that everyone, regardless of background, feels included and can perform at their best. We are committed to creating a better and more equitable world by unleashing all talent and investing in our employees" development. If you have what it takes to be part of a dynamic team that drives the company's product portfolio forward, we want to hear from you. SAP is proud to be an equal opportunity workplace and an affirmative action employer. We provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and require accommodation or special assistance, please contact the Recruiting Operations Team at Careers@sap.com.,

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Noida Location-3rd Aug 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 3rd Aug 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

We are seeking a talented Systems Architect (AVP level) with specialized knowledge in designing and expanding Generative AI solutions for production environments. In this pivotal position, you will collaborate across various teams including data scientists, ML engineers, and product leaders to mold enterprise-level GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI, architecting data pipelines, training/inference workflows, and integrating MLOps. You will be tasked with ensuring that systems are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should possess 12-15 years of experience in cloud-native and distributed systems, with 2-3 years focusing on GenAI/LLMs utilizing tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is essential. Experience with RAG, semantic search, agent orchestration, and MLOps is highly valued. Strong architectural acumen, effective stakeholder communication skills, and preferred certifications in cloud technologies, AI open-source contributions, and knowledge of security and governance are all advantageous.,

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to empower the world's most innovative companies to reach their full potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking, providing unique R&D and engineering services across various industries. Embark on a career with us, where every day presents new opportunities to make a meaningful difference. As a part of our team, you will be responsible for developing and implementing techniques and analytics applications that convert raw data into valuable insights using data-oriented programming languages and visualization software. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large datasets, both structured and unstructured. Visualize, interpret, and report data findings, and potentially create dynamic data reports. We are currently seeking a highly experienced AI/ML Solution Architect to take the lead in designing and implementing scalable, enterprise-grade AI and machine learning solutions. The ideal candidate should possess a solid background in data science, cloud computing, and AI/ML frameworks, demonstrating the ability to translate business requirements into technical solutions effectively. **Primary Responsibilities:** - Design and architect end-to-end AI/ML solutions customized to meet specific business needs. - Lead the development and deployment of machine learning, deep learning, and generative AI models. - Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. - Ensure seamless integration of AI models into existing systems and workflows. - Conduct architecture reviews, performance tuning, and scalability assessments. - Stay abreast of the latest trends, tools, and technologies in the field of AI/ML. **Primary Skills (Must-Have):** - Strong expertise in AI/ML algorithms, encompassing deep learning, NLP, and computer vision. - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn. - Experience with cloud platforms, particularly Azure (mandatory); familiarity with AWS/GCP is desirable. - Hands-on experience with LLMs (e.g., Azure OpenAI, Mistral) and GenAI deployment. - API development using FastAPI, Flask; integration with third-party tools (e.g., SharePoint, SNOW). - Solid understanding of data security (at rest and in motion) and data flow diagrams. **Secondary Skills (Good-to-Have):** - UI development using Angular, Streamlit, HTML, CSS, and JavaScript. - Experience with containerization tools like Docker, Azure Container Registry/Instance. - Familiarity with monitoring tools such as Splunk and NewRelic. - Knowledge of Agentic AI, RAG (Retrieval-Augmented Generation), and MFA (Multi-Factor Authentication). - Cost estimation and infrastructure planning for AI deployments (on-prem/cloud). **Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 12-14 years of experience in AI/ML solution development and architecture. - Excellent communication and stakeholder management skills. Join Capgemini, a global partner in business and technology transformation, dedicated to accelerating organizations" transition to a digital and sustainable world while delivering tangible impact for enterprises and society. With a diverse team of over 340,000 members across 50 countries, Capgemini is a trusted leader with a heritage spanning more than 55 years. Clients rely on Capgemini to unlock technology's value and address their entire business needs, offering end-to-end services and solutions with expertise in AI, generative AI, cloud, and data, supported by industry knowledge and a strong partner ecosystem.,

As a visionary Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a pivotal role in establishing and leading the AI Innovation Center. Your primary focus will be on designing, developing, and deploying cutting-edge AI solutions across our software portfolio, contributing to the acceleration of our AI strategy. Your responsibilities will include shaping the company's AI vision, leading a cross-functional team of data scientists, ML engineers, and AI product innovators, and collaborating with product, engineering, and customer teams to introduce AI-infused applications to the market. Key Responsibilities: - Establish and Lead the AI Innovation Center to drive R&D in AI and ML technologies for energy-specific software use cases. - Define and execute the company's AI strategy, encompassing tooling, platforms, and applied AI models. - Oversee the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and business outcomes. - Partner closely with various teams to embed AI into product roadmaps and deliver measurable business value. - Guide and cultivate a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. - Ensure the responsible and ethical use of AI, adhering to industry standards and regulatory requirements, particularly within the energy industry. - Evaluate and select AI/ML tools, frameworks, and platforms while staying abreast of rapid advances in the field. - Represent the company in industry forums, conferences, and AI research communities to drive innovation and thought leadership. Requirements: - Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field. A Master's degree is preferred. - 10+ years of experience in AI/ML, with a minimum of 5 years in a leadership role. - Proven track record of applying AI, machine learning, and generative/agentic AI in commercial software products. - Strong understanding of AI tooling, infrastructure, and cloud-native AI/ML pipelines. - Previous experience in the energy sector or with software tailored for industrial domains. - Demonstrated ability to build and lead multidisciplinary teams and deliver AI-based solutions with tangible business impact. - Excellent communication and stakeholder management skills, including experience presenting to executive leadership. Nice to Have: - Experience with AI agents, autonomous systems, or decision intelligence. - Familiarity with energy industry data types, standards, and use cases such as grid management, asset performance, and forecasting. - Knowledge of MLOps, data governance, and responsible AI practices. Note: Employment eligibility to work with Quorum Software in India is required, as the company will not pursue visa sponsorship for this position. If you require reasonable accommodation during the application and/or interview process, please notify a member of the Human Resources Department.,

As an Agentic AI & AI Automation Expert at Edtech Informative, you will play a crucial role in training the next generation of AI automation professionals. Your responsibilities will include delivering live or recorded sessions, designing hands-on automation projects, and guiding learners in building intelligent agent-based systems. The ideal candidate for this position should have hands-on expertise in automation tools such as n8n, Make, Zapier, or similar platforms. You should also possess a deep understanding of Agentic AI workflows and tools, along with a passion for teaching and building real-world use cases. Experience in creating or guiding automation-first systems, as well as excellent communication and mentorship skills, are also essential for this role. If you are enthusiastic about shaping the future of AI-powered automation and have the necessary skills and expertise, we encourage you to apply for this Trainer position at Edtech Informative. Join us in empowering individuals to excel in the field of AI automation and make a significant impact on the industry. To apply for this position, please send your resume to info@edtechinformative.com or visit our website at www.edtechinformative.com. Let's work together to build a future where AI-powered automation drives innovation and efficiency in various industries.,