662 Langchain Jobs - Page 3

Define and implement model validation processes and business success criteria in data science terms . Contribute to the architecture and data flow for machine learning models. Rapidly develop and iterate minimum viable solutions (MVS) that address enterprise needs. Conduct advanced data analysis and rigorous testing to enhance model accuracy and performance. Work with Data Architects to leverage existing data models and create new ones as required. Collaborate with product teams and business partners to industrialize machine learning models into Ericsson s enterprise solutions . Build MLOps pipelines for continuous integration, continuous delivery, validation, and monitoring of AI/ML models. Design and implement effective big data storage and retrieval strategies (indexing, partitioning, etc.). Develop and maintain APIs for AI/ML models and optimize data pipelines. Lead end-to-end ML projects from conception to deployment. Stay updated on the latest ML advancements and apply best practices to enterprise AI solutions . Required Skills Experience 4-6 years of hands-on experience in machine learning, AI, and data science . Strong knowledge of ML frameworks (Keras, TensorFlow, Spark ML, etc.). Proficiency in ML algorithms, deep learning, reinforcement learning (RL), and large language models (LLMs) . Expertise in MLOps , including model lifecycle management and monitoring. Experience with containerization orchestration (Docker, Kubernetes, Helm charts). Hands-on expertise with workflow orchestration tools (Kubeflow, Airflow, Argo). Strong programming skills in Python and experience with C++, Scala, Java, R . Experience in API design development for AI/ML models . Hands-on knowledge of Terraform for infrastructure automation. Familiarity with AWS services (Data Lake, Athena, SageMaker, OpenSearch, DynamoDB, Redshift). Strong understanding of self-hosted deployment of LLMs on AWS . Experience in RASA, LangChain, LangGraph, LlamaIndex, Django, Open Policy Agent . Working knowledge of vector databases, knowledge graphs, retrieval-augmented generation (RAG), agents, and agentic mesh architectures . Expertise in monitoring tools like Datadog for K8S environments. Ability to document, present , and communicate technical findings to business stakeholders . Proven ability to contribute to ML forums, patents, and research publications . Educational Qualifications B.Tech/B.E. in Computer Science , MCA, or a Master s in Mathematics/Statistics from a top-tier institute .

Must Have Skills: 2+ years of hands-on experience in agentic AI / multi-agent systems. Proficiency with LangChain, Langraph, CrewAI, AutoGen, Haystack, or equivalent frameworks. Strong background in Python and experience with prompt engineering, tools integration, and chaining logic. Solid understanding of LLM APIs, RAG, vector stores, tool use, and memory architectures. Hands-on experience with open-source and commercial LLMs (e.g., GPT-4, Claude, Gemini, Mistral). Experience deploying AI agents in cloud-native environments (AWS, GCP, Azure). Ability to lead architectural discussions, PoCs, and hands-on development in fast-paced environments. Model-cost profiling and budgeting (API call minimization, batch vs. streaming) Latency tuning for real-time agents, Autoscaling strategies." Exposure to Autonomous AI agents (AutoGPT, BabyAGI, CAMEL, MetaGPT). Understanding of LLM fine-tuning, adapters, and RLHF. Experience with agent simulation, environment modeling, or reinforcement learning is a plus. Familiarity with compliance, privacy, and safety in GenAI deployments. Prior experience in building domain-specific agents (Lifescience, healthcare, Pharma). Key Responsibilities: Architect and implement agentic AI systems using modern LLM orchestration frameworks (LangChain, CrewAI, AutoGen, etc.). Design multi-agent collaboration models including planner-solver, autonomous teams, and goal decomposition agents. Build reusable tooling, APIs, and memory architectures for agent interaction, coordination, and context persistence. Lead hands-on development and deployment of GenAI applications (e.g., assistants, copilots, decision support). Evaluate and integrate LLMs (OpenAI, Claude, Mistral, LLaMA, etc.), vector databases (Pinecone, Weaviate, FAISS), and retrieval systems (RAG). Optimize agent performance for real-time environments, reliability, scalability, and ethical constraints. Guide teams in adopting agent frameworks, best practices, prompt engineering, and model fine-tuning. Collaborate with stakeholders to translate business requirements into technical solutions using agent-based paradigms. Continuously monitor trends in multi-agent systems, cognitive architectures, and open-source AI frameworks.

Key Responsibilities: Strong problem-solving skills Generative AI ( Lang chain, Open AI) Advance level of python and JavaScript Python libraries like Fast API , pytest Git React JS (good to have) Docker, Kubernetes Basic Linux commands Familiar with Azure/GCP Requirement : -Need some knowledge of genAI - past 1-2 projects -Need to have strong python, they need to know how to deploy the APIs into Kubernetes and have strong hands on docker experience -Manage application on Kubernetes, ensure high scalability and availability. -Experience in typescript (they will be developing extensions written in typescript) -Design develop and deploy scalable python APIs -Once deployed, need to debug that issue in the endpoints. -Knowledge on LLM models.

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,

As a Full Stack Developer, you will be responsible for developing full stack applications by writing clean and efficient code. Your role will involve automating tasks using appropriate tools and scripting, as well as reviewing and debugging code. It will be essential for you to document development phases and closely monitor systems to ensure smooth operation. To excel in this role, you should have at least 2+ years of experience working with Python, Machine Learning, and related frameworks. You should be proficient in creating RESTful APIs using Python Django and have the ability to seamlessly integrate backend APIs with frontend applications. Additionally, you should possess knowledge of developing applications based on machine learning, deep learning, Gen AI, and LLM. Your expertise should include a strong command over programming languages like Python, SQL, and Big Query. Hands-on experience with ML tools such as Numpy, SciPy, Pandas, Scikit-Learn, Tensorflow, Langchain, and Vector Base will be highly advantageous. You should also demonstrate excellent problem-solving skills and the capability to work both independently and collaboratively within a team environment. If you are passionate about developing innovative applications and have a keen interest in the field of Machine Learning, this role offers you the opportunity to showcase your skills and contribute to cutting-edge projects.,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). You will build intelligent systems that understand natural language queries and automate complex workflows. Additionally, you will integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. You will also prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaboration with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features is a key aspect of this role. Furthermore, you will work on prompt engineering, few-shot learning, and tool use orchestration. Key Responsibilities: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration. Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - 4-8 years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens - A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,

As a Senior AI/ML Engineer/Lead at our company located in Mohali, you will play a crucial role in leading the design, architecture, and delivery of complex AI/ML solutions. With over 8 years of experience, you will be responsible for developing and implementing machine learning models across various domains like NLP, computer vision, recommendation systems, classification, and regression. Your expertise will be utilized to integrate Large Language Models (LLMs) such as GPT, BERT, LLaMA, and other state-of-the-art transformer architectures into our enterprise-grade applications to drive innovation. Your key responsibilities will include selecting and implementing ML frameworks, tools, and cloud technologies that align with our business goals. You will lead AI/ML experimentation, PoCs, benchmarking, and model optimization initiatives while collaborating with data engineering, software development, and product teams to integrate ML capabilities seamlessly into production systems. Additionally, you will establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Your hands-on experience in the AI/ML domain, along with a proven track record of delivering production-grade ML systems, will be highly valued. Proficiency in machine learning algorithms, deep learning architectures, and advanced neural network design is essential. You should also possess expertise in LLMs, transformer-based models, prompt engineering, and embeddings, with strong programming skills in Python and familiarity with cloud platforms for scalable ML workloads. Having experience with MLOps tools and practices, such as MLflow, Kubeflow, SageMaker, or equivalent, will be beneficial. Furthermore, exposure to vector databases, real-time AI systems, edge AI, streaming data environments, and active contributions to open-source projects, research publications, or thought leadership in AI/ML will be advantageous. A certification in AI/ML would be a significant plus. If you are a self-driven individual with excellent leadership, analytical thinking, and communication skills, and if you are passionate about staying updated on AI advancements and championing their adoption in business use, we encourage you to apply for this exciting opportunity.,

You are a highly motivated and technically strong Data Scientist / MLOps Engineer with 13 years of experience, looking to join our growing AI & ML team in Kolkata. Your role will involve designing, developing, and deploying scalable machine learning solutions with a focus on operational excellence, data engineering, and GenAI integration. Your key responsibilities will include building and maintaining scalable machine learning pipelines using Python, deploying and monitoring models using MLFlow and MLOps stacks, designing and implementing data workflows with PySpark, and leveraging standard data science libraries for model development. You will also work with GenAI technologies such as Azure OpenAI and collaborate with cross-functional teams to meet business objectives. To excel in this role, you must have expertise in Python for data science and backend development, solid experience with PostgreSQL and MSSQL databases, hands-on experience with data science packages like Scikit-Learn, Pandas, Numpy, and Matplotlib, as well as experience with Databricks, MLFlow, and Azure. A strong understanding of MLOps frameworks and deployment automation is essential, along with prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI. Preferred qualifications include experience in the Finance, Legal, or Regulatory domain, working knowledge of clustering algorithms and forecasting techniques, and previous experience in developing reusable AI frameworks or productized ML solutions. You should hold a B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. By joining us, you will work on cutting-edge ML and GenAI projects, be part of a collaborative and forward-thinking team, and have opportunities for rapid growth and technical leadership. This is a full-time position based in Kolkata, with benefits including leave encashment, paid sick time, paid time off, Provident Fund, and work from home options. If you meet the required qualifications and are excited about the prospect of working in a dynamic AI & ML environment, we encourage you to apply before the application deadline of 02/08/2025. The expected start date for this position is 04/08/2025.,

You will be joining a technology-driven publishing and legal-tech organization that is currently expanding its capabilities through advanced AI initiatives. With a strong internal team proficient in .NET, MERN, MEAN stacks, and recent chatbot development using OpenAI and LLaMA, we are seeking an experienced AI Solution Architect to lead the design, development, and deployment of transformative AI projects. As an AI Solution Architect, you will play a critical role in designing and delivering enterprise-grade AI solutions. Your responsibilities will include architecting, planning, and implementing AI solutions using Vector Databases, RAG Pipelines, and LLM techniques. You will lead AI solution design discussions, collaborate with engineering teams to integrate AI modules, evaluate AI frameworks, and mentor junior AI engineers and developers. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related fields, along with at least 5 years of experience in software architecture with a focus on AI/ML system design and project delivery. Hands-on expertise in Vector Search Engines, LLM Tuning & Deployment, RAG systems, and RLHF techniques is essential. You should also have experience working with multi-tech teams, strong command over architecture principles, and excellent team leadership skills. Experience with tools like MLflow, Weights & Biases, Docker, Kubernetes, and Azure/AWS AI services would be a plus. Exposure to data pipelines, MLOps, and AI governance, as well as familiarity with enterprise software lifecycle and DevSecOps practices, are also desirable. If you are passionate about AI technology, have a proven track record of delivering AI projects, and enjoy leading and mentoring technical teams, we encourage you to apply for this exciting opportunity to drive AI adoption across products and internal processes.,

You are a Gen AI Senior Software Engineer with over 5 years of experience, specializing in Generative AI and Large Language Models (LLMs). Your main responsibility is to design, develop, and implement GenAI solutions tailored to address business challenges, utilizing your expertise in Python for AI/ML solutions. Your key technical skills include proficiency in Python programming, hands-on experience in Retrieval-Augmented Generation (RAG) and familiarity with Vector Databases. It would be beneficial if you have experience in React.js and are open to learning new skills and technologies. In this role, you will be responsible for designing and implementing scalable GenAI solutions using Python, leading the architecture of AI-driven solutions, and developing customized solutions using Large Language Models (LLMs) for various applications. You will also create AI models for text and speech data, optimize AI model performance using similarity search algorithms, and build conversational chatbots using advanced NLP techniques. Furthermore, you will utilize vector databases to store and manage data for AI applications, implement Retrieval-Augmented Generation (RAG) pipelines, develop and maintain ETL pipelines for efficient data flow, and conduct experiments to evaluate AI model performance. You will also ensure that AI solutions comply with data privacy, security, and ethical standards while contributing to front-end development using React.js to create user-friendly interfaces for AI applications. Soft skills required for this role include adaptability to work in an agile environment, excellent presentation skills to engage with business users, and the ability to provide expert advice to resolve project issues and ensure client satisfaction.,

As a seasoned fullstack developer, you will be responsible for leading the development of various products while leveraging your expertise in AI/ML and market & website analytics. Your role will be pivotal in the creation of intelligent platforms and driving data-informed decisions. You will lead the fullstack development of products, with a preference for utilizing technologies such as Node.js, React/Angular, and MongoDB/PostgreSQL. Additionally, your role will involve building and integrating AI-powered features like NLP, predictive analytics, and recommendation systems. Analyzing data from tools like Google Analytics, Mixpanel, and Amplitude will be crucial, along with developing dashboards and data visualizations to support marketing and product teams. Collaboration with designers, data engineers, and product managers will be essential to align technological developments with business strategies. You will take ownership of product performance and conversion metrics, conducting regular audits and implementing improvements based on evaluations of user behavior, funnels, and attribution data. To excel in this role, you must possess strong fullstack capabilities including JavaScript, Node.js, React/Angular, APIs, and databases. Practical experience in AI/ML frameworks such as Python, TensorFlow, and Hugging Face, along with proficiency in website analytics, user behavior tracking, and A/B testing, are required. Experience in building or integrating marketing analytics systems and the ability to generate meaningful insights from data for stakeholders are crucial aspects of this position. Knowledge of SEO, CRO, and performance optimization best practices will also be beneficial. In summary, this role offers an exciting opportunity for a skilled fullstack developer to contribute to the development of intelligent platforms, drive data-informed decisions, and collaborate with cross-functional teams to ensure alignment with business objectives.,

As a Senior Python Engineer at our company, you will leverage your deep expertise in data engineering and API development to drive technical excellence and autonomy. Your primary responsibility will be leading the development of scalable backend systems and data infrastructure that power AI-driven applications across our platform. You will design, develop, and maintain high-performance APIs and microservices using Python frameworks such as FastAPI and Flask. Additionally, you will build and optimize scalable data pipelines, ETL/ELT processes, and orchestration frameworks, ensuring the utilization of AI development tools like GitHub Copilot, Cursor, or CodeWhisperer to enhance engineering velocity and code quality. In this role, you will architect resilient and modular backend systems integrated with databases like PostgreSQL, MongoDB, and Elasticsearch. Managing workflows and event-driven architectures using tools such as Airflow, Dagster, or Temporal.io will be essential, as you collaborate with cross-functional teams to deliver production-grade systems in cloud environments (AWS/GCP/Azure) with high test coverage, observability, and reliability. To be successful in this position, you must have at least 5 years of hands-on experience in Python backend/API development, a strong background in data engineering, and proficiency in AI-enhanced development environments like Copilot, Cursor, or equivalent tools. Solid experience with Elasticsearch, PostgreSQL, and scalable data solutions, along with familiarity with Docker, CI/CD, and cloud-native deployment practices is crucial. You should also demonstrate the ability to take ownership of features from idea to production. Nice-to-have qualifications include experience with distributed workflow engines like Temporal.io, background in AI/ML systems (PyTorch or TensorFlow), familiarity with LangChain, LLMs, and vector search tools (e.g., FAISS, Pinecone), and exposure to weak supervision, semantic search, or agentic AI workflows. Join us to build infrastructure for cutting-edge AI products and work in a collaborative, high-caliber engineering environment.,

Short Description Description About Oracle Customer Success Services Oracle University & the Role It is an exciting time to be part of Oracle Customer Success Services (CSS) Oracle University. As Oracle continues to rapidly introduce new products and enhancements, our focus is on delivering world class training solutions for next-generation AI capabilities that automate and revolutionize business processes across industries. The Fusion Cloud Applications Product Management Team within Oracle University is instrumental in setting the learner journey direction aligned to the innovative Fusion Cloud Applications AI initiative , and we are seeking a highly skilled, visionary Solution Lead with deep expertise in Oracle Fusion Cloud Applications and AI-driven solutions. This unique opportunity blends technical leadership, consulting, enablement, curriculum strategy, and hands-on innovation. You will shape, deliver, and educate on practical, scalable AI and AI Agent solutions that empower customers and Oracle partners to leverage leading AI capabilitieswhile translating the latest Oracle Fusion Cloud Application AI innovations into actionable training and enablement resources. Responsibilities Key Responsibilities AI Training Strategy and Design Lead the design and deployment of Oracle Fusion Cloud (ERP, HCM, SCM, CX) solutions by building and integrating the latest AI/ML innovations from Oracles evolving cloud portfolio into innovative training solutions. Consult closely with product development on the end-to-end implementation of practical AI agent applications, ensuring alignment with business objectives and industry best practices to include in OU training catalog. Serve as a subject matter expert and technical advisor, guiding customers and systems integrator partners on effectively implementing, tailoring, and operationalizing AI agent templates via OU training catalog. Advisory, & Best Practice Development Engage directly with Product Development to define training requirements, use cases, and desired AI outcomestranslating these needs into hands-on, deployable technical training solutions. Document and curate AI agent best practices, use cases, and lessons learned, elevating OU learners understanding and adoption of AI-powered enterprise solutions. Provide actionable feedback to CSS OU teams based on real-world AI agent deployments and customer interactions to continually evolve and enhance training. Partner & Customer Enablement: Training and Curriculum Leadership Act as an AI evangelist and enablement leaderdesign, develop, and continuously update comprehensive training curriculum and enablement resources focused on Oracle Fusion Cloud Applications AI capabilities for Oracle partners and customers. Proactively track and evaluate new Oracle Fusion Cloud AI features and innovations, translating advancements into high-impact internal and external enablement programs, workshops, documentation, and learning content. Innovation, Collaboration & Continuous Improvement Collaborate cross-functionally with Oracle product development and curriculum teams to innovate and refine agent-based cloud solutions, remaining hands-on and current in advanced AI and analytics trends. Lead continuous process and content improvement by gathering and analyzing stakeholder feedback, iterating training materials and curriculum as Oracles AI portfolio advances. Use project management and analytics tools to transparently track deliverables, monitor program and curriculum success, and measure overall business impact. Required Qualifications Bachelors or Masters degree in Computer Science, Software Engineering, Advanced Analytics, Information Systems, or a related STEM field. Experience working directly with customers, partners, and sales teams to deliver tailored technical solutions and advisory services Strong background in computer science, technical solution engineering, or advanced analytics. Understanding of RAG (Retrieval-Augmented Generation) techniques is required. Experience in designing and building AI multi-agent solutions for business environments is a plus Has built and deployed enterprise applications, including experience in solution engineering, building functional and/or technical demonstrations, consulting, or software development. Hands-on experience implementing scalable AI systems is desired though not required. Ability to understand, clarify, and translate functional/business requirements into practical, viable training solutions Experience leading Oracle Fusion Cloud Application implementations (ERP, HCM, SCM, CX) focusing on AI and enterprise innovation Demonstrated hands-on experience architecting, building, and deploying enterprise-class cloud and AI/ML solutionsparticularly within Oracle Fusion Cloud and/or analogous ERP, HCM, SCM, CX platforms. Expertise in the design of functional/technical curriculum and enablement material. Proficiency with frameworks such as Flowise, CrewAI, Relevance AI, Langchain, or AutoGen. Ability to consult, advise, and collaborate directly with enterprise customers, SI partners, and Oracle sales teams to deliver tailored, high-impact AI and cloud solutions. Outstanding communication skills (oral, written, and presentation), strong analytical and critical thinking skills, and the ability to proactively solve complex problems. Experience working in a fast-paced, dynamic software/cloud environment. Preferred Qualifications Oracle Cloud Architect and/or relevant Functional certifications. Experience enabling Oracle partners/customers in deploying and adopting AI or automation-driven cloud solutions. Previous involvement in change management and user adoption programs for enterprise systems. Knowledge of hybrid and multi-cloud architectures. Show more Show less

About the Role We are seeking a BI Architect to advise the BI Lead of a global CPG organization and architect an intelligent, scalable Business Intelligence ecosystem. This includes an enterprise-wide KPI dashboard suite augmented by a GenAI-driven natural language interface for insight discovery. The ideal candidate will be responsible for end-to-end architecture: from scalable data models and dashboards to a conversational interface powered by Retrieval-Augmented Generation (RAG) and/or Knowledge Graphs. The solution must synthesize internal BI data with external (web-scraped and competitor) data to deliver intelligent, context-rich insights. Key Responsibilities • Architect BI Stack : Design and oversee a scalable and performant BI platform that serves as a single source of truth for key business metrics across functions (Sales, Marketing, Supply Chain, Finance, etc.). • Advise BI Lead : Act as a technical thought partner to the BI Lead, aligning architecture decisions with long-term strategy and business priorities. • Design GenAI Layer : Architect a GenAI-powered natural language interface on top of BI dashboards to allow business users to query KPIs, trends, and anomalies conversationally. • RAG/Graph Approach : Select and implement appropriate architectures (e.g., RAG using vector stores, Knowledge Graphs) to support intelligent, context-aware insights. • External Data Integration : Build mechanisms to ingest and structure data from public sources (e.g., competitor websites, industry reports, social sentiment) to augment internal insights. • Security & Governance : Ensure all layers (BI + GenAI) adhere to enterprise data governance, security, and compliance standards. • Cross-functional Collaboration : Work closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization. Qualifications • 69 years of experience in BI architecture and analytics platforms, with at least 2 years working on GenAI, RAG, or LLM-based solutions. • Strong expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. • Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). • Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is a plus. • Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. • Familiarity with web scraping and structuring external/third-party datasets. • Prior experience in CPG domain or large-scale KPI dashboarding preferred.

We are looking for an experienced Solution Architect in Generative AI to lead the design and delivery of enterprise-grade GenAI solutions across Azure and Google Cloud platforms. This is a full-stack leadership role requiring deep technical expertise and the ability to guide teams through end-to-end project execution. Key Responsibilities: Lead architecture for GenAI projects: LLMs, embeddings, RAG, prompt engineering, agent frameworks. Define scalable designs across full-stack: React, Node.js, .NET Core, C#, Cosmos DB, SQL/NoSQL, vector DBs. Implement Azure/GCP cloud-native solutions using AKS, GKE, Functions, Pub/Sub. Drive CI/CD automation via GitHub Actions, Azure DevOps, Cloud Build. Conduct architecture/code reviews and enforce security, DevSecOps, and performance standards. Translate business requirements into technical solutions and communicate with senior stakeholders. Mentor engineering teams and promote innovation, collaboration, and agile delivery. Required Skills: Generative AI, LLMs, Prompt Engineering, LangChain, RAG, C#, .NET Core, React, Node.js, Azure, Google Cloud, AKS, GKE, Terraform, CI/CD, Cosmos DB, BigQuery, Microservices, DevSecOps, API Gateway Qualifications: Bachelors in Computer Science or Engineering (Master’s in AI/ML preferred) Strong leadership, communication, and stakeholder management skills Apply Now: shrishtispearhead1@gmail.com Contact: +91 8299010653

looking for GenAI support. WORK FROM HOME

Handson exp with LLM-based solution experience using OpenAI, Gemini, etc. Must have skills in fine-tuning, RAG, agents, vector DBs (ChromaDB, FAISS, Pinecone), LangChain, Hugging Face, TensorFlow, PyTorch. 1-2 GenAI implementations & 2+ yrs in ML/DL.

5+ years of experience in Deep Learning, including CNNs, RNNs, Transformers 2–3 years of experience in Generative AI,Proficient in Python, PyTorch, TensorFlow & Cloud platforms (AWS/GCP/Azure). Hugging Face, OpenAI APIs, LangChain, Weights & Biases.

Full Stack Engineer (Python, Conversation Text AI) Exp 4 - 7 yrs Location: Pune Full stack Developer with AI/ML experience 2+ YOE in Backend development using Python and Node.JS 1+ YOE in Frontend skills - JavaScript and HTML /CSS

Backend Engineer (Python, Node Js, Agentic AI) Exp : 3 - 7 yrs Location: Pune Min 3 yrs exp in Backend developer exposure to AI/ML Min 2+ yrs exp in backend development using Python and Node.js For JD, write to amit.gaine@talentxo.in

The role involves working on Agentic AI Platform Delivery where you will be responsible for developing and maintaining autonomous software agents using modern LLM frameworks. You will also be required to build reusable components for business process automation, design agent orchestration, prompt engineering, and LLM integrations, as well as enable deployment across CRM systems and enterprise data platforms. Additionally, you will work on Generative AI & Model Optimization by fine-tuning LLMs/SLMs with proprietary NBFC data, and focusing on model distillation, quantization, and edge deployment readiness. Moreover, you will be creating self-learning systems by developing adaptive frameworks that learn from interaction outcomes and implementing lightweight models to support real-time decision-making. The ideal candidate for this position should hold a B.E./B.Tech/M.Tech degree in Computer Science or a related field, with a minimum of 3-7 years of experience in AI/ML roles. Proficiency in languages such as Python, Node.JS, JavaScript, React, and Java is required, along with experience in using tools/frameworks like LangChain, Semantic Kernel, LangGraph, and CrewAI. Familiarity with platforms such as GCP, MS Foundry, Copilot Studio, BigQuery, and Power Apps/BI is essential. Knowledge of Agent Tools like Agent Development Kit (ADK) and Multi-agent Communication Protocol (MCP), as well as a strong understanding of prompt engineering, LLM integration, and orchestration, are also expected. In addition to the technical requirements, the candidate should possess strong communication skills, teamwork abilities, and problem-solving capabilities. Being proactive, detail-oriented, and able to work under pressure are desirable traits for this role. Joining this dynamic team at Bajaj Finance Limited offers numerous perks, benefits, and a vibrant work culture. The company values its employees and recognizes their contributions, making it a rewarding and challenging environment to grow and excel. With a presence in over 500 locations across India, you will have the opportunity to be part of one of Asia's top 10 Large workplaces and contribute to the success and innovation of a leading Non-banking financial company.,

Job Description: As an AI Engineer Intern at Brainwonders, you will have the exciting opportunity to work in cutting-edge fields like Large Language Models (LLMs), AI Agents, ML Fundamentals, and Cloud Deployment with a focus on AWS. This internship is designed for individuals with 0-1 year of experience, including final-year students and freshers. The position is based in Borivali East, Mumbai, and offers the possibility of a full-time offer upon successful completion of the internship. Your primary responsibilities will include building and testing LLM-based applications and workflows, experimenting with agent frameworks such as LangGraph and CrewAI, and utilizing transformer models like LLaMA and Mistral for domain-specific tasks. Additionally, you will deploy models and services on AWS using tools like Lambda, EC2, and SageMaker, and collaborate on prompt engineering, fine-tuning, and pipeline optimization. To excel in this role, you should have a solid understanding of LLMs, tokenization, and transformers, along with proficiency in Python programming using libraries like Pandas, NumPy, Hugging Face, and LangChain. Exposure to AWS services like EC2, Lambda, S3, or SageMaker is essential, as well as a strong eagerness to explore real-world AI use cases such as agents, copilots, and RAG-based systems. Basic knowledge of machine learning and hands-on project experience will be advantageous. It would be beneficial if you have experience with serverless deployments on AWS, familiarity with monitoring and logging tools like CloudWatch and OpenTelemetry, and a track record of contributing to open-source AI tools or models. This internship offers a unique opportunity to work with a dynamic team and gain valuable experience in the field of artificial intelligence. Thank you for considering Brainwonders as your next career destination.,

You will be joining a company that is renowned for its technical excellence and leading innovations. NTT DATA is committed to making a difference to clients and society while embracing diversity and inclusion in the workplace. It is a place where you can grow, belong, and thrive. As a Senior AI/GenAI Engineer at NTT DATA, your key responsibilities will include designing, developing, and deploying cutting-edge AI/GenAI models and solutions for various industries. You will utilize technologies such as TensorFlow, PyTorch, LangChain, Vellum, etc., on non-cloud infrastructure. Your role will involve leading the development and integration of agentic AI systems, designing vector databases for efficient similarity search in AI applications, providing technical guidance to junior team members, ensuring security of LLMs, engaging with clients to understand their AI requirements, developing tailored solutions, and more. Requirements for this role include a Bachelor's or Master's degree in Computer Science, AI, ML, or related fields, along with 8+ years of experience in engineering solutions and delivering AI solutions. You should have advanced proficiency in AI/GenAI technologies, experience with vector databases and similarity search algorithms, strong programming skills in languages like Python or R, excellent communication and interpersonal skills, and strong problem-solving abilities. It is preferred that you have experience with containerization (Docker) and orchestration (Kubernetes), as well as experience with ReactJS for rapid prototyping. The position is available in Delhi or Bangalore, with a hybrid working model. NTT DATA is a global innovator of business and technology services, serving 75% of the Fortune Global 100. The company is committed to helping clients innovate, optimize, and transform for long-term success. NTT DATA invests over $3.6 billion each year in R&D and offers services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is an Equal Opportunity Employer and part of the NTT Group headquartered in Tokyo.,

You are looking for a DevOps Technical Lead who will play a crucial role in leading the development of an Infrastructure Agent powered by Generative AI (GenAI) technology. In this role, you will be responsible for designing and implementing an intelligent Infra Agent that can handle provisioning, configuration, observability, and self-healing autonomously. Your key responsibilities will include leading the architecture and design of the Infra Agent, integrating various automation frameworks to enhance DevOps workflows, automating infrastructure provisioning and incident remediation, developing reusable components and frameworks using Infrastructure as Code (IaC) tools, and collaborating with AI/ML engineers and SREs to create intelligent infrastructure decision-making logic. You will also be expected to implement secure and scalable infrastructure on cloud platforms such as AWS, Azure, and GCP, continuously improve agent performance through feedback loops, telemetry, and model fine-tuning, drive DevSecOps best practices, compliance, and observability, as well as mentor DevOps engineers and work closely with cross-functional teams. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 8 years of experience in DevOps, SRE, or Infrastructure Engineering. You must have proven experience in leading infrastructure automation projects, expertise with cloud platforms like AWS, Azure, GCP, and deep knowledge of tools such as Terraform, Kubernetes, Helm, Docker, Jenkins, and GitOps. Hands-on experience with LLMs/GenAI APIs, familiarity with automation frameworks, and proficiency in programming/scripting languages like Python, Go, or Bash are also required. Preferred qualifications for this role include experience in building or fine-tuning LLM-based agents, contributions to open-source GenAI or DevOps projects, understanding of MLOps pipelines and AI infrastructure, and certifications in DevOps, cloud, or AI technologies.,

You will be joining our team as a Senior AI Automation & Systems Lead, where you will have the opportunity to partner directly with the founder to build next-gen operating systems. Your role will involve developing innovative operating systems to enhance performance and efficiency across various departments. Your responsibilities will include architecting automation workflows using tools like n8n, Zapier, Make, and custom scripts. You will design and maintain scalable Airtable infrastructure for data ops and automation backends, build and deploy AI agents using platforms such as OpenAI and LangChain, orchestrate and govern agents via a Multi-Agent Control Panel (MCP), and integrate cross-platform APIs like Google Workspace, Slack, CRMs, ERPs, Notion, Ads, and more. As a Senior AI Automation & Systems Lead, you will identify, evaluate, and implement high-leverage automation across business and media operations, define and track automation KPIs, build internal dashboards, and lead optimization cycles. Additionally, you will have the opportunity to mentor junior developers and document systems for easy onboarding and handover. To qualify for this role, you should have a minimum of 4-8 years of hands-on experience in automation, backend systems, or AI operations. You must have a proven track record in deploying autonomous agents in real-world applications, deep knowledge of automation tools like n8n and Airtable, REST APIs, and automation logic. Understanding of API architecture, familiarity with MCPs, agent orchestration, and lifecycle governance is essential. Experience with platforms such as LangChain, Claude, Pinecone, Firestore, OpenRouter, or RAG systems will be advantageous. Strong communication skills are necessary to effectively translate technical concepts into business outcomes. The required skills for this role include a strong background in automation, backend systems, and AI operations. Preferred skills include familiarity with various automation tools and platforms, as well as experience in mentoring and documentation. We are an equal opportunity employer committed to diversity and inclusivity in our hiring practices. Joining our team will give you the opportunity to work directly with the Founder to reimagine an industry, build systems that impact factories, media studios, and global marketing pipelines, and work with a dynamic team in a fast-paced environment. If you are excited about creating systems that think faster than people and building tech that drives creativity and execution at scale, we would like to hear from you. To apply, please send us your updated professional profile, work samples showcasing automation flows, agent deployments, dashboards, etc., and a note on how you would go about automating 50% of an ad agency and packaging unit if you had to do it tomorrow. Location: Gurugram,