39 Langraph Jobs

Role Overview: You will be responsible for building AI-powered microservices using Python and Go, designing and implementing agentic systems with frameworks like Langchain and Llamaindex. Your role will involve leveraging containerization technologies such as Docker and Kubernetes, as well as Vector DBs for RAG-based apps. Experience with MCP, A2A, and Prompt Engineering is desired. Additionally, you will work on frontend UX for AI assistants and CICD pipelines on Cloud platforms. Your ability to design agentic systems with observability, safety, and extensibility features will be crucial for ensuring seamless integration and human-in-the-loop approvals. Strong technical skills and innovatio...

As a Lead/Architect in the AI/ML field, your role will involve: - Solutioning Enterprise level AIML/GenAI/Cloud stack/Dev/ML Ops. - Platform Development and Evangelism: - Building scalable AI platforms that are customer-facing. - Evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Machine Learning Pipeline Design: - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models. - Designing APIs for model inferencing at scale. - Demonstrating expertise with MLflow, SageMaker, Vertex AI, and Azure AI. - LLM ...

J ob Title: ML Ops Engineer Location: Bangalore Experience: 38 Years Employment Type: Full-time About the Role We are looking for a skilled ML Ops Engineer to design, build, and optimize scalable machine learning (ML) infrastructure and pipelines. You will collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models for production at scale. Key Responsibilities • Design, deploy, and maintain end-to-end ML pipelines for training, testing, and deploying models in production. • Automate model versioning, CI/CD, and monitoring using modern MLOps frameworks. • Implement data version control, model registry , and automated retraining workflows. • Monitor model perfo...

We are looking for a seasoned technical leader to head our AI Centre of Excellence and elevate our automation capabilities to enterprise-grade standards. As the Automation & AI Solutions Manager, you will be responsible for driving engineering excellence, implementing scalable DevOps practices, and delivering robust Automation/AI solutions. This role blends hands-on technical contribution with strategic leadership, enabling the transformation of innovative prototypes into reliable, maintainable, and secure enterprise solutions. About the Role: Lead and mentor a team of Automation/AI developers, fostering a culture of collaboration, innovation, and continuous improvement. Drive the adoption o...

J ob Title: ML Ops Engineer Location: Bangalore Experience: 38 Years Employment Type: Full-time About the Role We are looking for a skilled ML Ops Engineer to design, build, and optimize scalable machine learning (ML) infrastructure and pipelines. You will collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models for production at scale. Key Responsibilities • Design, deploy, and maintain end-to-end ML pipelines for training, testing, and deploying models in production. • Automate model versioning, CI/CD, and monitoring using modern MLOps frameworks. • Implement data version control, model registry , and automated retraining workflows. • Monitor model perfo...

We are looking for a seasoned technical leader to head our AI Centre of Excellence and elevate our automation capabilities to enterprise-grade standards. As the AI & Automation Solutions Manager, you will be responsible for driving engineering excellence, implementing scalable DevOps practices, and delivering robust AI/Automation solutions. This role blends hands-on technical contribution with strategic leadership, enabling the transformation of innovative prototypes into reliable, maintainable, and secure enterprise solutions. About the Role: Lead and mentor a team of AI/Automation developers, fostering a culture of collaboration, innovation, and continuous improvement. Drive the adoption o...

About the Role: We are seeking a dynamic and experienced Manager AI to lead the design, development, and deployment of next-generation AI solutions, with a strong focus on Generative AI , Natural Language Processing (NLP) , and Machine Learning (ML) within the pharmaceutical industry. As an AI Manager, you will guide a team of engineers and data scientists, drive project execution, and collaborate closely with product and domain teams. You will be responsible for architecting production-grade systems, mentoring technical talent, and spearheading innovation through applied GenAI. This role combines strategic leadership, technical depth, and hands-on executionideal for a candidate passionate a...

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl We are always moving forward always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to join a team that is passionate about solving complex business problems with cutting-edge technology Kyndryl is seeking a talented Data Architect who will take charge of all things data and information, transforming them into remarkable solutions that drive our customers success. Get ready to unleash your creative prowess and shape...

Role Overview: You will be joining as a Data Science Analyst within the GWFO team. Your role will involve utilizing your specialized knowledge in machine learning, statistical modeling, and data analysis to assess processes, evaluate data, and identify opportunities for leveraging advanced analytics. You will work towards improving business outcomes, automating processes, and generating actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, collaborating with cross-functional stakeholders. Key Responsibilities: - Gather and process operational data from various cross-functional stakeholders to analyze past business performance and...

As a Platform Development and Machine Learning expert at Adobe, you will play a crucial role in changing the world through digital experiences by building scalable AI platforms and designing ML pipelines. Your responsibilities will include: - Building scalable AI platforms that are customer-facing and evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models and designing APIs for model inferencing at scale. - Demonstrating proven expertise with MLflo...

The Data Science Analyst role is a developing professional position within the GWFO team, focusing on applying specialized knowledge in machine learning, statistical modeling, and data analysis. This role involves monitoring, assessing, analyzing, and evaluating processes and data to drive business outcomes and generate actionable insights through advanced analytics. The Data Science Analyst will work on identifying opportunities to enhance business decision-making capabilities, automate processes, and develop innovative AI solutions. Key Responsibilities: - Gather and analyze operational data from various stakeholders to assess past business performance and identify areas for improvement. -...

You will be serving as a Gen AI Technical Developer for our client, a trusted global innovator of IT and business services. Your primary responsibility will be to design, develop, and optimize generative AI models using AWS Bedrock. Collaboration with cross-functional teams to comprehend project requirements and deliver AI-driven solutions will be a key aspect of your role. Your experience should include a minimum of 7 years in hands-on Gen AI Technical development. You will be expected to conduct thorough research to remain informed about the latest advancements in generative AI and machine learning. Additionally, it will be crucial for you to implement and maintain AI-centric libraries and...

Senior Data Scientist(6-8 Yrs) Data Scientist Manager (Architect Exp is mandatory) :- 8-12 Yrs As a Senior Data Scientist/Manager specializing in Generative AI, you will: Shape Next-Generation Solutions : Partner with cross-functional teams to design and implement AI-driven systems that transform user experiences and streamline business processes. Enhance AI Through Data : Employ data-centric methodologies to improve model accuracy and responsiveness by curating high-quality datasets and optimizing real-time performance. Finetune Industry-Specific Gen AI Models : Adapt and fine-tune large language models for domain-specific applications using advanced techniques like instruction tuning, doma...

As a Data Science Subject Matter Expert (SME) at Citi, you will play a crucial role in applying advanced data science techniques to enhance the control environment. Your primary responsibility will involve leading data analysis and modeling efforts to identify opportunities for improving control processes and mitigating risks. Leveraging your expertise, you will develop and implement cutting-edge machine learning and AI algorithms to automate tasks, enhance decision-making, and increase overall control effectiveness. In addition, you will design and build innovative AI solutions using generative AI and agentic AI frameworks tailored for Control Automation. Furthermore, as a subject matter ex...

Job Description Youll be a core member of our AI team, designing, implementing, and optimizing GenAI applications for live, real-time deployments. Our projects frequently involve prompt engineering , vector databases , frameworks like LangChain , Langraph , and agentic tools such as AutoGen and Crew . Youll help build production-ready solutions for tasks like text generation, summarization, and Q&A systemsoften within a cloud environment like Azure, AWS and/or GCP. Responsibilities Advanced Python Proficiency: Write clean, efficient, and maintainable Python code for data preprocessing, model training, and integration with production systems. Prompt Engineering: Design, test, and refine promp...

The Spec Analytics Intmd Analyst role is a developing professional position where you deal with most problems independently and have the latitude to solve complex issues. By integrating in-depth specialty area knowledge with a solid understanding of industry standards and practices, you contribute to achieving the objectives of the sub function/job family. Your analytical thinking and knowledge of data analysis tools and methodologies are crucial, requiring attention to detail to make informed judgments and recommendations based on factual information. You will typically handle variable issues with potential broader business impact, applying professional judgment when interpreting data and r...

AlgoAnalytics is seeking a Data Scientist with a strong passion for developing AI/ML solutions and working on cutting-edge projects in Gen AI. The ideal candidate should have a minimum of 3 years of experience in AI/ML, including Deep Learning, and exposure to Gen AI/LLM. Proficiency in tools, technologies, and libraries such as Agentic AI, Dify/Autogen, Langraph, etc., is required. Additionally, a detailed understanding of Cloud technologies and deployment, along with hands-on experience, is considered a significant advantage. As a Data Scientist at AlgoAnalytics, your responsibilities will include developing Gen AI/LLM models using OpenAI, Llama, or other open-source/offline models. You wi...

You will be working as an AI Platform Engineer in Bangalore as part of the GenAI COE Team. Your key responsibilities will involve developing and promoting scalable AI platforms for customer-facing applications. It will be essential to evangelize the platform with customers and internal stakeholders, ensuring scalability, reliability, and performance to meet business needs. Your role will also entail designing machine learning pipelines for experiment management, model management, feature management, and model retraining. Implementing A/B testing of models and designing APIs for model inferencing at scale will be crucial. You should have proven expertise with MLflow, SageMaker, Vertex AI, and...

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 min...

Crew AI Engineer Remote Contractual-6 months Job Description : We are looking for people with strong python skills, knowledge of multi agent frameworks like Crew AI, knowledge of RAG concepts mandatory. Good conceptual knowledge of LLM concepts Langraph and Langchain Required Skills : 5-8 years of experience in AI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Familiarity with vector databases (e.g., Pinecone, FAISS, ...

The Specialized Analytics Manager provides full leadership and supervisory responsibility. You will provide operational/service leadership and direction to team(s). You will apply in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. You may contribute to the development of new techniques, models, and plans within the area of expertise. Excellent communication and diplomacy skills are required for this role. You will generally have responsibility for volume, quality, timeliness of end results, and shared responsibility for planning and budgets. Your work will affect an entire area, which eventually affects the overall performance and effectivenes...

As a part of the global leader in Cloud, AI, and Digital technologies, you will be responsible for leveraging GenAI models and frameworks to enhance the efficiency and productivity of businesses worldwide. Your role will involve serving as the primary technical expert for GenAI technologies, focusing on developing, implementing, and optimizing advanced AI models and solutions to expand our GenAI footprint across clients. You will provide technical leadership, drive innovation, and ensure the successful integration of AI technologies into our IT services for clients. Your responsibilities will include defining best practices, standards, and templates for AI solutions, conducting workshops, de...

The Data Science Analyst role at Citi within the GWFO team is a developing professional position that involves applying specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. The main responsibilities include identifying opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, the individual in this role will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. As a Data Science Analyst at Ci...

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. Working with cross-functional stakeholders, you will gather and process operational data to examine past business performance and identify areas for improvement. Ut...

* If you are 5+ years experienced and Immediate joiner , please apply: https://forms.gle/TbiZ5o9oN2ZtJSpKA 5+ years of experience as a backend or full-stack developer, with strong focus on backend systems. Advanced proficiency in Python, including building scalable, production-grade applications. Hands-on experience integrating large language models (LLMs) using tools like LangChain, LangGraph, RAG pipelines, or similar frameworks. Proven track record of deploying LLM-based systems in real-world production environments (beyond just chatbots or academic projects). Good understanding of machine learning engineering concepts (preferred but not mandatory). Strong expertise in designing robust AP...