696 Langchain Jobs - Page 20

Prompt Engineer. Are you a seasoned Pythonista with a knack for crafting perfect prompts? We're looking for a talented and experienced Prompt Engineer to join our team! In this role, you'll be instrumental in developing and refining the prompts that drive our cutting-edge AI models. You'll work closely with stakeholders, leveraging your deep understanding of Python and prompt engineering to optimize model performance and ensure clear, effective communication with our systems. Mandatory Skills- Prompt Engineering, Python What you'll bring: * 5-7 years of experience in Python development, with a strong grasp of its ecosystem and best practices. * 3-5 years of experience in Prompt Engineering , demonstrating a proven ability to design, test, and refine prompts for various AI models. * Very good knowledge of GHCP (Google Cloud's AI Platform , including Generative AI capabilities). * Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear, actionable insights for diverse audiences. If you're passionate about the future of AI and thrive in a collaborative environment, we encourage you to apply! Share your profile on Aarushi.Shukla@coforge.com

Role Overview: We are looking for a visionary Enterprise IT Architect to lead the transformation of our IT organization into an Agentic AI-driven powerhouse. This individual will architect modern, scalable, AI-native IT platforms that optimize operations, drive automation, and showcase how next-gen IT can innovate at scale. You will work across infrastructure, applications, data, security, and operations to infuse agentic capabilities into the fabric of enterprise IT. Here is how, through this exciting role, you will contribute to BMC's and your own success: Architect AI-native IT Systems : Design modern enterprise architectures that embed autonomous AI agents across IT functions including operations, service management, monitoring, and security. Enable Agentic AI Use Cases : Translate IT goals into agentic AI use cases across ticket triage, auto-remediation, provisioning, governance, and user support. Drive Platform Modernization : Lead the modernization of legacy IT platforms to be cloud-native, API-first, and AI-ready. Champion Automation & Observability : Implement intelligent automation, real-time observability, and self-healing capabilities using LLMs, agents, and RPA. Collaborate Cross-functionally : Partner with engineering, security, infrastructure, and product teams to ensure seamless integration of AI agents with enterprise systems. Evaluate and Adopt Technologies : Assess AI toolkits, orchestration frameworks, and multi-agent systems for enterprise applicability. Strategic Roadmapping : Contribute to the roadmap for AI transformation in IT aligned with business outcomes and goals Security and Governance : Ensure that AI-driven architectures meet enterprise-grade standards for risk, compliance, and governance. To ensure youre set up for success, you will bring the following skillset & experience: Mandatory Skills : 10+ years of experience in enterprise IT architecture, with 3+ years in AI Proven experience architecting solutions involving AI agents, cloud platforms (AWS, Azure, GCP). Deep understanding of AI orchestration frameworks, LLMs, agent stacks (e.g., AutoGen, LangChain, CrewAI), and observability tools. Experience designing IT solutions with resilience, security, and scale in mind. Strong knowledge of ITIL, SRE principles, DevOps, and enterprise systems (ERP, identity, asset management, etc.). Passion for innovation, continuous improvement, and being customer-zero for AI-driven IT. Preferred Skills : Familiarity with agent simulation environments and feedback loops. Exposure to enterprise use of generative AI, vector databases, and cloud-native ML pipelines. Strategic mindset with the ability to balance innovation with risk, cost, and governance.

Job Summary We are looking for an experienced Data Scientist with 3 to 5 years of hands-on experience in building and deploying machine learning and natural language processing (NLP) models. The ideal candidate should have a solid foundation in AI, strong problem-solving abilities, and a passion for applying ML/NLP techniques to solve real-world challenges. Experience in designing AI agents or working with LLMs is a strong advantage. Key Responsibilities Develop, train, and deploy machine learning and NLP models to support business and product goals. Conduct end-to-end model lifecycle management, including feature engineering, model selection, evaluation, and optimization. Perform exploratory data analysis (EDA), hypothesis testing, and derive actionable insights. Design and build AI agents and workflows that interact with LLMs and integrate into larger systems. Collaborate with cross-functional teams including product, engineering, and design to deliver AI-driven solutions. Stay updated with advancements in GenAI, LLMs, and emerging trends in the AI ecosystem. Required Qualifications Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3–5 years of experience in applied machine learning, NLP, or AI model development. Proficiency in Python and commonly used data science libraries (e.g., Pandas, NumPy, Scikit-learn, Transformers). Hands-on experience with NLP frameworks (e.g., Hugging Face, spaCy) and model fine-tuning. Strong understanding of supervised/unsupervised learning, vectorization techniques, and evaluation metrics. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications Experience working with large language models (LLMs) and vector databases. Exposure to building AI agents, autonomous workflows, or prompt engineering. Familiarity with cloud platforms (e.g., AWS) and scalable ML infrastructure. Understanding of MLOps practices for model deployment and monitoring.

Looking for developers for product based company who have exp.in following area Work with OpenAI/Anthropic ML (Creating a model, training, deploying at scale Building AI agents, AI tools MCP from Anthropic Min. 3y relevant exp. must

Senior Backend Engineer Role & Responsibilities Design and implement scalable backend systems using Python (FastAPI preferred) and RESTful API services. Integrate and operationalize LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face models) into end-user applications. Develop and maintain pipelines for prompt orchestration, embeddings, and retrieval- augmented generation (RAG). Work with vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search) for context- aware LLM responses. Ensure robustness, performance, and security of API endpoints and backend services. Collaborate with front-end developers, ML engineers, and client stakeholders to deliver high-quality features. Participate in architecture design discussions and contribute to code reviews and technical documentation. Take end-to-end ownership of features and independently manage tasks and delivery timelines. Support knowledge transfer from client-side experts and progressively reduce dependency on them. Must-Have Skills: 6+ years of strong hands-on experience in Python backend development, with a focus on RESTful APIs. Experience in integrating LLMs via APIs (OpenAI, Azure OpenAI, Hugging Face Transformers). Strong understanding of RAG patterns, prompt engineering, and context injection for GenAI applications. Experience working with vector databases or semantic search frameworks. Experience with cloud platforms, preferably Azure (Azure Functions, Cognitive Services, etc.). Proficiency in problem-solving, debugging, and performance tuning. Strong communication skills; able to articulate technical ideas and challenges clearly. Ability to work independently and mentor junior engineers when needed. Good-to-Have Skills: Experience with LangChain, LLM orchestration frameworks, or prompt tuning. Experience in containerization (Docker, Kubernetes). Familiarity with CI/CD pipelines and version control (Git). Prior exposure to enterprise AI solutions or chatbot frameworks

*****GenAI DevOps Engineer AWS Bedrock***** *****Pune Hinjewadi***** *****Immediate Joiners Preferred***** *****Minimum 4 Days WFO***** Job Description: We are seeking a highly experienced GenAI DevOps Engineer to join our dynamic team in Pune. The ideal candidate will have a strong background in building, deploying, and optimizing Generative AI applications on AWS Bedrock, along with expertise in DevOps practices. You will be responsible for automating infrastructure, managing CI/CD pipelines, and ensuring high performance and reliability of AI models. Key Responsibilities: Design, develop, and deploy Generative AI applications leveraging AWS Bedrock and SageMaker. Automate infrastructure provisioning and deployment processes. Build and maintain robust CI/CD pipelines using CodePipeline and CodeBuild. Monitor application and model performance using CloudWatch, Prometheus, and Grafana. Optimize AI models for performance, scalability, and cost-efficiency. Work with RAG (Retrieval-Augmented Generation) tools such as LangChain, Haystack, and LlamaIndex for building advanced AI solutions. Collaborate with data scientists and developers to streamline model deployment and monitoring. Required Skills: Extensive hands-on experience with AWS Bedrock and SageMaker. Strong expertise in CI/CD tools: CodePipeline, CodeBuild. Proficiency with monitoring tools: CloudWatch, Prometheus, Grafana. Experience with RAG frameworks like LangChain, Haystack, and LlamaIndex. Solid understanding of DevOps best practices and automation. Ability to troubleshoot and optimize AI deployment pipelines. Excellent problem-solving and communication skills. Preferred Skills: Knowledge of containerization (Docker, Kubernetes). Familiarity with scripting languages (Python, Bash). Experience with cloud security best practices. Understanding of machine learning lifecycle management. Mandatory Skills: AWS Bedrock and SageMaker expertise. CI/CD pipeline automation. Monitoring and performance optimization. RAG-based application development.

Position - Full Stack Developer( LLM & AI/ML/ Python NLP, Claude,Mistral,RAG ) Group Manager - RNA Design, fine-tune, and deploy LLM-based solutions (e.g., ChatGPT, LLaMA, Mistral, Claude).Integrate LLMs into modern web applications to deliver intelligent user experiences Develop end-to-end full-stack applications using modern web frameworks and RESTful APIs. Collaborate with data scientists and product managers to translate business problems into LLM-based applications. Build and optimize prompt engineering workflows for maximum model performance. Ensure performance, scalability, and security of deployed solutions Stay up to date with the latest advancements in generative AI and web development Must Have: LLM & AI/ML Skills: Deep experience with LLMs (OpenAI GPT, Claude, LLaMA, Mistral, etc.) Expertise in prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented Generation) Familiarity with Hugging Face, LangChain, or similar AI frameworks Strong Python programming skills, especially in NLP libraries (e.g., Transformers, SpaCy, PyTorch, TensorFlow) Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)Web Development: Proficiency in modern front-end frameworks (React, Angular, or Vue.js) Strong backend development experience (Node.js, Django, Flask, or FastAPI) Hands-on experience building and integrating RESTful APIs and GraphQL endpoints Strong understanding of web architecture, security, performance optimization.DevOps & Deployment: Experience with Docker, Kubernetes, or cloud services (AWS, Azure, GCP)CI/CD pipelines and code quality tools (e.g., GitHub Actions, Jenkins)General:Strong problem-solving and debugging skills. Excellent written and verbal communication.Ability to work independently in a fast-paced, innovative environment Ability to translate business needs into scalable tech solutions Leadership experience in mentoring or guiding technical teams Qualifications Masters or Bachelors in Computer Science, Artificial Intelligence, or a related field Experience with production-grade LLM applications (chatbots, agents, copilots, etc.) 8+ years of hands-on experience.

We seek a Senior AI Scientist with strong ML fundamentals and data engineering expertise to lead the development of scalable AI/LLM solutions. You will design, fine-tune, and deploy models (e.g., LLMs, RAG architectures) while ensuring robust data pipelines and MLOps practices. Key Responsibilities 1. AI/LLM Development: o Fine-tune and optimize LLMs (e.g., GPT, Llama) and traditional ML models for production. o Implement retrieval-augmented generation (RAG), vector databases, and orchestration tools (e.g., LangChain). 2. Data Engineering: o Build scalable data pipelines for unstructured/text data (e.g., Spark, Kafka, Airflow). o Optimize storage/retrieval for embeddings (e.g., pgvector, Pinecone). 3. MLOps & Deployment: o Containerize models (Docker) and deploy on cloud (AWS/Azure/GCP) using Kubernetes. o Design CI/CD pipelines for LLM workflows (experiment tracking, monitoring). 4. Collaboration: o Work with DevOps to optimize latency/cost trade-offs for LLM APIs. o Mentor junior team members on ML engineering best practices. Required Skills & Qualifications Education: MS/PhD in CS/AI/Data Science (or equivalent experience). Experience: 6+ years in ML + data engineering, with 2+ years in LLM/GenAI projects.

Let s do this. Let s change the world. In this vital role We are seeking a creative and detail-oriented UI/UX Engineer - Search to design and build intuitive, responsive, and accessible user experiences for our AI-driven search and knowledge discovery platforms. In this role, you ll work at the crossroads of design, technology, and science helping researchers, clinicians, and regulatory professionals quickly find the information they need to make life-saving decisions. Youll bring a strong sense of usability, accessibility, and design-thinking into a highly regulated, data-rich environment. Design elegant, user-friendly interfaces for search platforms that enable users to explore complex scientific and medical data. Translate user research, business needs, and technical requirements into wireframes, mockups, and high-fidelity prototypes Develop responsive and dynamic UI components using modern frontend frameworks (e.g., React, Angular, Vue). Integrate with search backends, APIs, and visualization tools to display search results, filters, ontologies, and metadata. Ensure UI performance, accessibility (WCAG/Section 508 compliance), and cross-browser compatibility. Design intuitive query experiences including search bars, faceted navigation, filters, result ranking, and interactive content previews Collaborate with AI/ML teams to integrate advanced features such as semantic search, auto-suggestions, Q&A interfaces, and generative answers conduct usability testing, A/B testing, and collect user feedback to continuously improve UX. Analyze usage data and search behavior to drive data-informed UX enhancements. Design and deliver high-quality UI/UX solutions for the web Create wireframes, interactive prototypes, and user flows. Conduct user research, usability testing, and competitive analysis to enhance user experience Analyze and identify pain points from the users perspective by conducting user research through interviews, observations, Gemba walks and other research methods Create Personas, Journey maps, empathy maps, and process maps of current and to-be state Ensure pixel-perfect, responsive, innovative, and interactive designs across different devices and platforms. Maintain design consistency and adhere to brand guidelines. Create Sketches, Wireframes, Mockups and Prototypes, ranging from low fidelity to high-fidelity based on the needs. Produce pixel-perfect interactive prototypes, Visual style guides, Icons and Red lines (Design specifications for developers) Ensure accessibility, SEO-friendly design, and usability best practices. Prepare and maintain necessary documents. Understand the business objectives and rationales behind high level product features; translate them into user flows, wireframes, mock-ups, and prototypes that lead to intuitive and easy-to-use user experiences Follow Amgen design standards and style guides to produce comprehensive deliverables encompassing user flows and UI wireframes to facilitate software development Familiarity with data mapping, transformation, and ETL processes Proficiency in SQL is highly valued: you dont need to be able to write SQL from scratch, but you should be able to interpret statements to assist in troubleshooting Experience with data governance principles will be highly valued. Understanding of database structures. Experience in overseeing the design and configuration of tests to measure incremental performance as well as configuring metadata to enable their measurement. How data can be used to power personalized experiences. The tools you will be using will include Jira, Figma, Lucidchart, CSS HTML, JavaScript expertise in creating intuitive, user-friendly interfaces and seamless user experiences. Convert complex requirements into elegant, intuitive, and functional designs. Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently. Informing various stakeholders about any problems with the current technical solutions being implemented. Take ownership and accountability of the deliverables Basic Qualifications: Degree in computer science & engineering preferred with 6-8 years of software development experience Minimum 3+years of experience as a UI-UX designer Relevant experience or education in UX Design, Product Design Hands on experience with JavaScript, CSS HTML, Lucidchart, Figma designing, React Framework Redux, No SQL, Cloud CI/CD build pipelines Proficient in programming language React Framework Redux, GraphQL, RESTful API Development, Swagger / OpenAPI, Java Microservices API, Java Crawlers, TypeScript, Fast Python, Java Script, SQL/NoSQL, Dynamo DB, S3, Databricks, RDS, GCP Cloud Search, Solr Search, GCP Cloud engine Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Preferred Qualifications: Experience in HTML, CSS, and JavaScript for developing basic static re-usable UI components Experience in Angular & React.js for creating reusable components, Databricks, SQL Experience with Web site development, understanding of web site localization process Experience with DevOps CICD build and deployment pipeline Experience in Agile software development methodologies Ability to communicate all phases of UX design, from initial concept through detailed screen designs. Excellent interaction design skills. Experience designing for technical or expert users. Detail oriented & Critical thinker. Problem solver, empathetic and is user centric Good to Have Skills Willingness to work on AI Applications Experience in Java, Python, Solr search, data bricks, RDS Experience GXP Search Engine/ Solr Search Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, Dynamo DB, S3 Experience with LangChain or LIamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global teams. High degree of initiative and self-motivation. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.

Key Deliverables: Design, deploy, and fine-tune LLM-based GenAI applications across drug development Implement RAG pipelines, unstructured data ingestion, and vectorization workflows Build and automate MLOps LLMOps pipelines for scalable model deployment and monitoring Enable continuous model optimization and documentation of ML GenAI architecture Role Responsibilities: Collaborate with data scientists and product teams to co-develop ML-driven solutions Conduct rigorous code reviews and unit tests to maintain code quality and performance Maintain production readiness with robust DevOps and cloud-based ML pipelines Stay ahead of emerging trends and technologies in GenAI and large model systems

I’m building an AI-powered internal knowledge assistant that helps teams find answers instantly from Notion, Drive, Slack, GitHub, and more. If you're excited about LLMs, RAG pipelines, LangChain, and building fast from 0 1, let’s talk.

Job Title: Senior Data Scientist | Machine Learning Engineer (MLE) Job Location: [Mohali / Pune] Experience : 4+ years Skill Sets: Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow) Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models Strong experience in NLP, fine-tuning transformer models, and dataset preparation Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI) Experience in containerization (Docker, Kubernetes) and CI/CD pipelines Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning) Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection Roles & Responsibilities: Design and implement end-to-end ML pipelines from data ingestion to production Develop, fine-tune, and optimize ML models, ensuring high performance and scalability Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc) Automate model retraining, monitoring, and drift detection Collaborate with engineering teams for seamless ML integration Mentor junior team members and enforce best practices

Role & responsibilities Build Doctor Agentic AI, a real-time diagnostic and decision-support system. Patient-Doctor interaction- transcribe, understand, and summarize voice notes, answer patient inquiries, and recommend tests or treatments. Integrate text, images, lab reports, and structured EHR data into AI systems that see the full patient picture and medical insights. Live monitoring tools that detect anomalies in vitals, trigger adaptive questioning, and accelerate early interventions. Preferred candidate profile 3+ years of experience in AI/ML with a focus on multimodal data and agent-based systems. Deep understanding of transformer models and medical LLMs. Multimodal Health AI Stack like;: BioGPT, Med Palm, Meditron, ClinicalBERT, OCR (AWS Textract, Google Document AI, Google Vision) CoMT (Chain-of-Medical-Thought Reasoning) pipelines. RAG/MEDRAG pipelines multimodal analysis for structured and unstructured medical data. Proficient with LangChain, OpenAI Agents, Responses AI and tool calling APIs. Use vector databases for semantic search and memory retrieval. Experience generating or managing synthetic patient data for fine-tuning. Skilled in Python, Node.js, Connect models to backend infrastructure and ensure secure data pipelines. Familiar with AWS deployment and cost optimization.

***** GenAI Develope r***** ***** Immediate Joine r***** ***** Pune Hinjewadi ***** We are seeking experienced GenAI Developers to join our team in Pune. As a key member of our AI innovation group, you will be responsible for designing, architecting, and implementing scalable Generative AI solutions leveraging AWS services. You will lead the transformation of existing LLM-based architectures into modern, cloud-native solutions and collaborate with cross-functional teams to deliver cutting-edge AI applications. Key Responsibilities: Design and architect scalable GenAI solutions using AWS Bedrock and other AWS services. Lead the transformation of homegrown LLM-based architecture into a managed cloud-native solution. Provide architectural guidance across components: RAG pipelines, LLM orchestration, vector DB integration, inference workflows, and scalable endpoints. Collaborate closely with GenAI developers, MLOps, and data engineering teams to ensure alignment on implementation. Evaluate, integrate, and benchmark frameworks such as LangChain, Autogen, Haystack, or LlamaIndex. Ensure infrastructure and solutions are secure, scalable, and cost-optimized on AWS. Act as a technical SME and hands-on contributor for architecture reviews and POCs. Must-Have Skills: Deep expertise with AWS Bedrock, S3, Lambda, SageMaker, API Gateway, DynamoDB/Redshift, etc. Proven experience architecting LLM applications with RAG, embeddings, prompt engineering. Hands-on understanding of frameworks like LangChain, LlamaIndex, or Autogen. Knowledge of LLMs like Anthropic Claude, Mistral, Falcon, or custom models. Strong understanding of API design, containerization (Docker), and serverless architecture. Experience leading cloud-native transformations. Preferred: Experience with CI/CD, DevOps integration for ML/AI pipelines. Exposure to AWS, Azure/GCP in GenAI (bonus).

*****GenAI/Architect***** *****Immediate Joiners Preferred**** *****Pune Hinjewadi Phase1***** *****4 days a week***** We are seeking an experienced **GenAI Lead / Architect** to design and implement scalable Generative AI solutions leveraging AWS services. The ideal candidate will lead the transformation of existing LLM-based architectures into efficient, cloud-native platforms, ensuring robust, secure, and cost-effective deployments. Key Responsibilities: Design and architect scalable GenAI solutions using AWS Bedrock and other AWS services. Lead the transformation of homegrown LLM-based architecture into a managed cloud-native solution . Provide architectural guidance across components: RAG pipelines, LLM orchestration, vector DB integration, inference workflows, and scalable endpoints. Collaborate closely with GenAI developers, MLOps, and data engineering teams to ensure alignment on implementation. Evaluate, integrate, and benchmark frameworks such as LangChain, Autogen, Haystack, or LlamaIndex . Ensure infrastructure and solutions are secure, scalable, and cost-optimized on AWS. Act as a technical SME and hands-on contributor for architecture reviews and POCs. Must-Have Skills: Proven experience architecting LLM applications with RAG, embeddings, prompt engineering. Hands-on understanding of frameworks like LangChain , LlamaIndex , or Autogen . Knowledge of LLMs like Anthropic Claude, Mistral, Falcon, or custom models . Strong understanding of API design, containerization (Docker), and serverless architecture. Expertise with AWS Bedrock , S3, Lambda, SageMaker, API Gateway, DynamoDB/Redshift, etc. Experience leading cloud-native transformations. Preferred: AWS Certified Solutions Architect. Experience with CI/CD, DevOps integration for ML/AI pipelines. Exposure to Azure/GCP in GenAI (bonus).

Req ID: 312429 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Responsibilities: Conduct data analysis using Python. Develop AI models leveraging Langchain, LlamaIndex, and Azure OpenAI Services. Utilize Generative AI models and Natural Language Processing techniques. Implement Retrieval-Augmented Generation (RAG) solutions. Apply machine learning algorithms, data pre-processing, and manage AI lifecycle (model training, validation, monitoring). Minimum Skills Required: Qualifications: 2+ years of experience with AI Python development Bachelor's degree in computer science, Information Technology, or related field. Strong analytical skills and attention to detail. Ability to work independently or as part of a team. #GenAINTT About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Req ID: 328627 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Full Stack Developer to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Title: Full Stack Developer Location: Bangalore (Hybrid) Experience: 3-5 years Job Summary: We are seeking a dynamic and skilled Full Stack Developer with hands-on experience in .NET , ReactJS , and Python (LangChain & FastAPI) . This role involves building robust, scalable, and intelligent web applications that integrate modern AI capabilities and cloud-native technologies. Key Responsibilities: Develop and maintain full-stack applications using .NET for backend and ReactJS for frontend. Build and integrate APIs and microservices using Python , particularly with LangChain and FastAPI . Collaborate with data scientists and DevOps teams to deploy intelligent features and services. Ensure high performance, responsiveness, and scalability of applications. Participate in code reviews, testing, and debugging. Contribute to architectural decisions and best practices in software development. Work in an Agile environment and deliver high-quality software on time. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 3-5 years of experience in full-stack development. Proficiency in .NET (C#) for backend development. Strong experience with ReactJS for building modern web interfaces. Solid understanding of Python , especially LangChain and FastAPI . Familiarity with RESTful APIs, microservices architecture, and CI/CD pipelines. Good problem-solving and communication skills. Preferred Qualifications: Experience with cloud platforms like Azure , AWS , or GCP . Exposure to containerization tools like Docker and orchestration with Kubernetes . Understanding of AI/ML concepts and integration. Familiarity with Agile/Scrum methodologies. What We Offer: Competitive salary and benefits. Flexible hybrid work environment. Opportunities to work on cutting-edge technologies. A collaborative and growth-oriented team culture. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

We are looking for a highly skilled Full Stack Developer with 5+ years of experience in web development and strong expertise in PHP frameworks (Laravel, WordPress, Magento), frontend technologies (HTML, CSS, JavaScript), and AI-based integrations. The ideal candidate should have hands-on experience in AI development and programming, with the ability to build AI tools, plugins, integrations, and AI agents. This role involves supporting intelligent automation in areas such as marketing workflows, personalization, and customer engagement. Key Responsibilities: Design, develop, and maintain dynamic web applications using Laravel, PHP, and Magento. Create responsive and interactive UIs using HTML5, CSS3, JavaScript, and modern frontend frameworks. Customize Magento themes and develop custom modules. Integrate third-party APIs and web services. Develop and integrate AI tools, plugins, and agents using platforms like OpenAI, Hugging Face, Microsoft Azure AI, or custom models. Implement AI-powered features such as chatbots, recommendation systems, predictive analytics, and automated workflows. Collaborate with marketing teams to build AI-driven automation tools (campaign optimization, lead qualification, A/B testing, etc.). Maintain clean, scalable, and well-documented code. Perform debugging, performance tuning, and code optimization. Ensure cross-browser/device compatibility and a high standard of user experience. Stay up to date with emerging technologies, especially in AI, automation, and full-stack development. Manage server environments (Linux, Apache/Nginx), including deployment and monitoring. Required Skills: 5+ years of full-stack development experience, with a strong portfolio of web projects. Expert in Laravel, Core PHP, Magento (1.x / 2.x) development and theme customization. Proficient in HTML5, CSS3, JavaScript, jQuery, and responsive design. Strong experience with REST APIs, AJAX, and MySQL. Proven experience in AI development and integration, including working with Python, Node.js, or related environments. Integration experience with OpenAI, LangChain, Dialogflow, or other AI platforms. Experience building or integrating AI-powered plugins, automation tools, or agents. Familiarity with marketing technologies (e.g., HubSpot, Salesforce, Microsoft Dynamics, Zapier, Make) is a plus. Version control proficiency using Git. Solid understanding of server-side scripting and server configuration. Strong analytical and problem-solving skills. Good to Have: Experience with React, Vue.js, or similar frontend frameworks. Familiarity with vector databases (e.g., Pinecone, FAISS) and embedding models. Knowledge of SEO best practices, Redis/Memcached, and Linux hosting. Exposure to secure coding practices and scalability optimization. Qualifications: Bachelors degree in Computer Science, Information Technology, or equivalent experience.

About DigiLantern DigiLantern is a forward-thinking technology services company focused on delivering AI-powered digital transformation solutions . Our services include custom web and mobile application development , Salesforce and CRM integrations , AI agents and automation , SaaS product development , and e-commerce solutions . We help clients accelerate growth, enhance customer engagement, and optimize operations through intelligent and scalable technology. Role Overview We are seeking a highly skilled Technical Architect to lead solution architecture and system design across diverse digital and AI-first projects. You will be responsible for building scalable platforms with a strong focus on Agent AI frameworks , Retrieval-Augmented Generation (RAG) pipelines, and modern cloud-native infrastructure. This is a key leadership role that blends hands-on technical design with strategic planning and client engagement. Key Responsibilities Architect robust, scalable, and secure cloud-based solutions for enterprise-grade applications Design and integrate Agent AI workflows using frameworks like LangChain, AutoGen, or Semantic Kernel Build RAG pipelines for knowledge retrieval from vector databases (e.g., FAISS, Pinecone, Weaviate) Collaborate with product managers, developers, and clients to translate requirements into technical blueprints Lead architecture reviews, code quality standards, and technical governance across projects Guide engineering teams on architectural best practices, DevOps, and performance optimization Create technical documentation, architecture diagrams, and project-level design assets Stay current with advancements in AI/ML, cloud infrastructure, and modern development stacks Required Qualifications 10+ years of experience in software development and system architecture Strong backend expertise in Python, Java, Node.js and relevant frameworks (Django, Spring Boot, Express.js) Hands-on experience with cloud platforms : AWS (preferred), GCP, Azure Proven experience with containerization and orchestration : Docker, Kubernetes Deep understanding of Agent AI architectures and LLM orchestration (LangChain, AutoGen, CrewAI) Experience building or integrating RAG-based solutions using vector databases and embedding models Strong knowledge of APIs (REST, GraphQL), security protocols (OAuth2, JWT), and DevSecOps principles Excellent communication and problem-solving skills Bachelor's or Masters degree in Computer Science, Engineering, or a related discipline Preferred Experience Designing and deploying AI agents or automation tools with real-time decision-making capabilities Working with OpenAI APIs, Hugging Face, or custom LLMs Experience in regulated industries such as healthcare, finance, or nonprofit Collaborating with global, cross-functional engineering teams in agile environments Exposure to compliance standards such as HIPAA, GDPR Technology Stack AI & Data Agent AI: LangChain, AutoGen, CrewAI, Semantic Kernel, OpenAI APIs RAG: FAISS, Pinecone, Weaviate, ChromaDB, Haystack ML Tools: TensorFlow, PyTorch, Scikit-learn Databases: PostgreSQL, MongoDB, Redis, MySQL Analytics: Google Analytics, Power BI, Tableau Backend Python, Java, Node.js, PHP Django, Flask, Spring Boot, Express.js Frontend JavaScript / TypeScript React, Angular, Vue.js Material-UI, TailwindCSS Cloud & DevOps AWS, GCP, Azure Jenkins, GitHub Actions, Terraform, Ansible CI/CD with GitLab, CircleCI Security & Integration OAuth2, JWT, SAML SSL/TLS, AES encryption API tools: Swagger, Postman, MuleSoft Why Join DigiLantern? Architect real-world, high-impact solutions with cutting-edge AI technologies Be a key technical leader in a fast-growing digital innovation firm Opportunity to shape future-ready platforms across industries Competitive compensation, collaborative culture, and high ownership Thanks & Regards Pankhuri Agarwal Assistant Manager-HR pankhuri.agarwal@digilantern.co.in 9821486056 www.digilantern.com

Proficiency in Python, LangChain, LangGraph and GenAI APIs. Hands-on experience with vector databases (Pinecone, FAISS, ChromaDB). Understanding of Agentic AI, LLMs, transformers, and orchestration frameworks. Exposure to cloud services (AWS/GCP/Azure) and CI/CD practices. Stay current with AI trends and toolsSourcing & Screening US profiles.

Key Responsibilities: As an Infra AI Automation Programmer you will work on design development and deployment of AI systems that generate content or data often using techniques such as deep learning neural networks and generative models using Python backend coding Meet with clients in and remotely to understand their business objectives challenges and identify potential use cases for Generative AI Assess the client s existing technology infrastructure data landscape and AI maturity to determine the feasibility and best approaches for Gen AI adoption Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions e g content creation customer service product development marketing Gen AI Strategy and Solution Design Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases implementation plans and expected business outcomes Design Gen AI solutions architecture considering factors such as model selection e g large language models LLMs diffusion models data requirements integration with existing systems and scalability Evaluate and recommend appropriate Gen AI platforms tools and APIs e g OpenAI Google AI Azure AI open source libraries relevant to the client s needs and the Indian market Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications Technical Requirements: At least 2 years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow Pytorch Langchain and Prompt Engineering Experience with vector databases and retrieval augmented generation RAG Familiarity with MLOps principles and tools for deploying and managing Gen AI models Understanding of ethical considerations and responsible AI frameworks Understanding of data structures data modelling SQL NOSQL Object oriented and functional programming GIT Knowledge of basic algorithms and object oriented and functional design principles Deep Knowledge of Mathematics Probability Statistics and Algorithms Good Communication skills Good analytical and problem solving skills Additional Responsibilities: Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile These include High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Preferred Skills: Technology->Machine Learning->Python,Technology->Machine Learning->TensorFlow,Technology->Machine Learning->Generative AI

Position Purpose Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses. Responsibilities 1. Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. 2. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. 3. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. 4. Documenting each step of the development and informing decision makers by presenting them options and results. 5. Ensure the integrity and security of data. 6. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical & Behavioral Competencies 1. Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. 2. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. 3. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. 4. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. 5. Programming skills?in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain). 6. Ability to write clear and concise code in python. 7. Intellectually curious and willing to learn challenging concepts daily. 8. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills : Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent Experience Level At least 1 year

Notice period: Immediate 15days Profile source: Tamil Nadu Timings: 1:00pm 10:00pm (IST) Work Mode: WFO (Mon-Fri) Job Summary: We are looking for a driven and curious Data Scientist to join our growing AI & Data Science team. The ideal candidate will have a foundational understanding of data analysis and machine learning, with a strong interest in emerging AI paradigms such as Retrieval-Augmented Generation (RAG) and agentic AI systems . This role provides an exciting opportunity to work on real-world applications of LLMs and support the development of intelligent, task-oriented agents. Key Responsibilities: Clean, transform, and analyze data (structured and unstructured) from diverse Perform exploratory data analysis to identify actionable Support the development and evaluation of traditional and deep learning Assist in integrating LLMs into workflows using RAG Collaborate with senior team members to build and refine agentic AI systems for task Contribute to the design and testing of knowledge retrieval systems, including vector stores and embedding models. Develop dashboards, visualizations, and documentation to effectively communicate insights and Required Skills & Qualifications: Bachelors degree in Data Science, Computer Science, Statistics, Engineering, or a related discipline. Strong programming proficiency in Python, including experience with libraries like pandas, numpy, scikit-learn, and either LangChain or LlamaIndex. Fundamental understanding of Natural Language Processing (NLP) and large language models (LLMs). Hands-on experience with SQL and database A strong passion for advancements in Artificial Intelligence and a commitment to ongoing Exposure to Retrieval-Augmented Generation (RAG) architectures, including vector databases like FAISS, Chroma, or Pinecone. Familiarity with LLM frameworks, such as the OpenAI API and Hugging Face Knowledge of agentic AI systems, including task planning and autonomous agents Experience with cloud platforms (AWS, GCP, Azure) and version control systems (Git).

Role & responsibilities We are seeking a skilled and passionate Python Developer with hands-on experience in Artificial Intelligence (AI), Machine Learning (ML) , and Large Language Models (LLMs) like GPT, BERT, or LLaMA. The ideal candidate will have strong expertise in building LLM-powered applications using frameworks such as LangChain , Hugging Face Transformers , or BERTopic . Key Responsibilities : Design and implement AI/ML models using Python Work on NLP pipelines: Tokenization, Topic Modeling, BERTopic Build and deploy LLM-based apps using LangChain / LangGraph Develop REST APIs using Flask or FastAPI Integrate vector databases (FAISS, Pinecone, ChromaDB) for RAG-based apps Collaborate with cross-functional teams for solution delivery

Must have expertise in fine tuning and training models. Must have implemented projects with expertise on Agents, Tools and RAG solutions. Hands-on expertise in integrating LLMs with VectorDB like chromadb, faiss, pinecone is required. Expertise in PEFT, Quantization of models is required. Experience in Tensorflow, Pytorch, Python, Hugging Face, Transformers is a must. Expert in data preparation, analysis and hands, one expertise in Deep Learning model development is preferred. Additional expertise in deploying models in AWS is desired but optional. Skills OpenAI, Gemini, LangChain, Transformers, Hugging Face, Python, Pytorch, Tensorflow, Vectordb(chromadb, faiss, pinecone) Project experience At least 1-2 live implementation of Generative AI driven solution implementation. Extensive experience in implementing chatbots, knowledge search and in NLP.