331 Langgraph Jobs - Page 13

Role & responsibilities Preferred candidate profile We're seeking a skilled Python developer with a focus on building advanced agentic applications. In this role, you'll architect and implement autonomous AI systems that can reason, plan, and execute complex tasks with minimal human intervention. Core Responsibilities Design and develop agentic AI applications using Python and modern frameworks Implement and optimize Retrieval-Augmented Generation (RAG) systems for knowledge-intensive applications Create scalable backend services using FastAPI and Django Collaborate with cross-functional teams to define agent architectures and workflows Develop testing frameworks to evaluate agent performanc...

What Youll Own Full Stack Systems: Architect and build end-to-end applications using Flask, FastAPI, Node.js, React (or Next.js), and Tailwind. AI Integrations: Build and optimize pipelines involving LLMs (OpenAI, Groq, LLaMA), Whisper, TTS, embeddings, RAG, LangChain, LangGraph, and vector DBs like Pinecone/Milvus. Cloud Infrastructure: Deploy, monitor, and scale systems on AWS/GCP using EC2, S3, IAM, Lambda, Kafka, and ClickHouse. Real-time Systems: Design asynchronous workflows (Kafka, Celery, WebSockets) for voice-based agents, event tracking, or search indexing. System Orchestration: Set up scalable infra with autoscaling groups, Docker, and Kubernetes (PoC ready, if not full prod). Gro...

We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologies including large language models (LLMs), computer vision, machine learning, and data science to solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments. Key Responsibilities: Leadership & Strategy Drive the technical vision and roadmap for AI/ML and Generative AI initiatives. Lead a...

We are looking for a highly hands-on Back-End Engineer with a strong foundation in Python , system design , and practical experience in building and deploying Agentic Generative AI systems . The ideal candidate is passionate about solving complex problems using LLMs , understands the architecture of modern AI agent frameworks like LangChain/LangGraph , and can deliver scalable, cloud-native back-end services with a GenAI focus. Key Responsibilities: Design and implement robust, scalable back-end systems for GenAI agent-based platforms . Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services. Develop and maintain services using Py...

Position : Machine Learning Engineer - Generative AI / LLMs (Onsite - Bengaluru) Experience : 3+ years of industry experience in ML, software engineering, and data engineering. Education : Masters degree or equivalent experience in Machine Learning. Location : Bangalore (HSR Layout) Job Description: We are looking for a talented Machine Learning Engineer to join our AI team at our Bengaluru office (Onsite Only). In this role, you will work on cutting-edge solutions leveraging Generative AI, Large Language Models (LLMs), NLP, and Computer Vision to solve complex real-world problems. Responsibilities: Design, build, and deploy ML models for NLP, Computer Vision, LLMs, and Generative AI use cas...

Role Overview: Seeking an experienced backend developer to architect and implement multi-agent AI solutions with a focus on Retrieval-Augmented Generation (RAG). This position will utilize frameworks like LangGraph and LangChain, leverage vector databases such as Pinecone and Weaviate, and deploy solutions within AWS environments including S3 and related services. Key Responsibilities: Design, implement, and optimize multi-agent RAG systems using LangGraph, LangChain, and similar agentic frameworks. Orchestrate and coordinate agent-based workflows, managing state and memory across agents for robust, scalable AI features. Integrate, tune, and maintain vector databases such as Pinecone and Wea...

Immediate hiring for top MNC Job Description Relevant experience in the design and development of various applications using cloud-native digital technologies in the insurance industry. Good Understanding of the Property and Casualty Insurance domain Expertise in designing and building GenAI-powered solutions Expert-level knowledge of Agentic AI Framework, either of below Langgraph and Crewai Experience in Performance Optimization: Optimize LLM model performance through hyperparameter tuning and architecture refinement Expert in GenAI technologies like Python, Langchain, Langgraph, OpenAI Azure Document Intelligence ADI Azure Service Bus Retrieval Augmented generation RAG Proficiency in Agil...

- Senior AI/ML Engineer | 8 yrs | Bangalore - Prompt Engineering, LLMs (temp, top_p) - LangChain, LangGraph, CrewAI - RAG, LLM evaluation & observability - Python, Cloud deployment (AWS/GCP/Azure) Required Candidate profile - Prompt Engineering - LLMs & hyperparameters - LangChain/LangGraph/CrewAI - RAG - LLM evaluation - Python - Cloud deployment

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers. Dun & Bradstreet Technology and Corporate Services India LLP is looking for candidates for the role of Senior Analyst to support the Data Science team. The candidate needs to work closely with the team based ...

4-8 years of backend or full-stack development experience, with working on Generative or Agentic AI solutions. Proficiency in Python (preferred), with working knowledge of TypeScript/Node.js, Go, or Java. Hands-on experience developing REST APIs, GraphQL endpoints, and/or gRPC-based services. Familiarity with integrating LLMs like GPT-4, Claude, Gemini, Mistral, or LLaMA. Exposure to frameworks such as LangChain, LlamaIndex, or CrewAI. Basic understanding of vector databases and semantic search tools (e.g., FAISS, Pinecone). Experience working in cloud environments (AWS, GCP, Azure) and with containerization tools (Docker, Kubernetes).

Role & Responsibilities Conversational AI & Chatbot Development Design and implement intelligent chatbot solutions using modern LLMs like GPT-4, Claude, LLaMA, etc. Build prompt strategies, chains, and RAG (Retrieval-Augmented Generation) pipelines for enhanced context-aware responses. Integrate chatbot systems with APIs, databases, and enterprise applications. Optimize model usage to balance cost, latency, and accuracy. Develop fallback logic, session tracking, and context management for multi-turn conversations. Ensure secure, ethical, and responsible AI usage. AI/ML for Predictive Analytics Analyze historical and real-time data to identify trends, anomalies, and patterns. Work with struct...

Primary Skills : Demonstrated experience of 3 years in GenAI space LLM's: OpenAI, Mistral, Gemini, Claude etc., Hands-on experience of implementing LLM applications on Azure, AWS or GCP AWS Sagemaker, Azure Databricks Frameworks: LangChain/LangGraph , AutoGen, AutoGen, LlamaIndex etc., Fine Tuning LLM's/SLM's for domain specific use cases Agentic AI frameworks Evaluation and Communication - success rates, latency, A2A and MCP Secondary Skills : Microsoft Copilot Studio , DevRev , Codium , Cursor , Atlassian AI , Databricks Mosaic AI Experience : Overall: 6-9 Years LLM experience : 3 years Grade : Gen AI Engineer

About this role: Wells Fargo is seeking a Principal AI Engineer. In this role, you will: Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategi...

Job Description for Senior Software Engineer Generative AI & Multi-Agentic Systems Responsibilities:• Design and implement Multi-Agentic GenAI systems to solve regulatory and compliance workflows for global trade.• Assess and recommend the right architecture, tools, and frameworks, ensuring modularity, scalability, and maintainability.• Integrate with a mix of open-source and cloud-based agentic orchestration stacks such as:o LangChain, LangGraph, Autogen, Flowable, N8N, AWS Strands, AWS Bedrock, etc. Lead the development of production-ready agent workflows that interface with legal policies, classification engines, third-party compliance data, and case management systems. Collaborate with U...

About the Role vConstructs Data Science & Analytics team is expanding its Generative AI capability. Were looking for an AI Developer who can design, build and ship productionready solutions using large language models (LLMs), multimodal models and classic ML techniques (good to have). You’ll join a collaborative group of AI Engineers, Data Scientists and Analysts transforming every stage of the construction lifecycle—from preconstruction planning to posthandover operations—through automation and datadriven insights. What You’ll Do Prototyping – Frame GenAI use cases with experts; build quick LLM-based tools. Modeling – Fine-tune/prompt models; use ML/DS when GenAI isn’t ideal. Engineering – ...

Key Responsibilities: Design, implement, and optimize multi-agent RAG systems using LangGraph, LangChain, and similar agentic frameworks. Orchestrate and coordinate agent-based workflows, managing state and memory across agents for robust, scalable AI features. Integrate, tune, and maintain vector databases such as Pinecone and Weaviate for efficient semantic search and retrieval. Develop backend APIs and microservices in Python or Node.js, with seamless interactions with agentic pipelines and vector databases. Deploy solutions on AWS, leveraging services like Amazon S3, Lambda, EC2, and container orchestration tools. Collaborate with frontend and cross-functional product teams to deliver hi...

Bangalore Senior Generative AI & Agentic AI Engineer Location: Kolkata/ Indore/ Pune / Bangaluru Type: Full-time About the Role We are looking for a highly skilled and innovative Generative AI & Agentic AI Engineer with strong conceptual understanding and hands-on implementation expertise. This role requires deep proficiency in Python development, API design, data handling with Pandas, and modular coding practices. The ideal candidate will have proven experience in building and deploying complex Retrieval-Augmented Generation (RAG) solutions and will work closely with cross-functional teams to design, develop, and implement AI-powered solutions. Key Responsibilities Design, develop, and impl...

Job Title : Agentic AI Backend Developer Years of Experience : 5 to 7 years Job Location : Chennai / Hyderabad Work Mode : Hybrid 3 days from Office Job Description: Role Overview: Seeking an experienced backend developer to architect and implement multi-agent AI solutions with a focus on Retrieval-Augmented Generation (RAG). This position will utilize frameworks like LangGraph and Lang Chain, leverage vector databases such as Pinecone and Weaviate, and deploy solutions within AWS environments including S3 and related services. Key Responsibilities: Design, implement, and optimize multi-agent RAG systems using LangGraph, LangChain, and similar agentic frameworks. Orchestrate and coordinate a...

GenAI Engineer Build and deploy conversational agents using LLMs and multi-agent systems. Design RAG pipelines and integrate with enterprise systems. Experience: ~3 years overall, 2+ years in AI/ML engineering. Must have : Experience with LangGraph, Agno, AutoGen or CrewAI.

About this role: We are looking for a detail-oriented and technically proficient AI/ML Cloud Platform Administrator to manage, monitor, and secure our cloud-based platforms supporting machine learning and data science workloads. This role requires deep familiarity with both AWS and Azure cloud services, and strong experience in platform configuration, resource provisioning, access management, and operational automation. You will work closely with data scientists, MLOps engineers, and cloud security teams to ensure high availability, compliance, and performance of our AI/ML platforms. Key Responsibilities include: Provision, configure, and maintain ML infrastructure on AWS (e.g., SageMaker, B...

We are seeking Senior AI/ML Engineers with 3 to 6 years of experience in implementing, deploying, and scaling AI/ML solutions. This role involves working with generative AI, machine learning, deep learning, and data science to solve business challenges by designing, building, and maintaining scalable and efficient AI/ML applications. Key Responsibilities:AI: Architect scalable Generative AI and Machine Learning applications using AWS Cloud and other cutting-edge technologies. Extensive experience with LLMs and various prompt engineering techniques. Fine-tune and build custom LLMs. Deep understanding of LLM architecture and internal mechanisms. Experience with Langchain, Langgraph, Langfuse, ...

Job Summary: We are seeking a highly skilled Python Developer with deep expertise in Generative AI (GenAI) systems. This role demands strong experience in designing, developing, deploying, and maintaining full-stack production-grade GenAI solutions. The ideal candidate will bring 5+ years of Python development, a solid foundation in software engineering principles, and a passion for experimenting with the latest advancements in LLMs and AI tooling. Key Responsibilities: Design and build Python-based applications powered by LLMs (OpenAI, Claude, Mistral, etc.) Develop, serve, and maintain robust APIs for GenAI model interaction Integrate and orchestrate components using frameworks like LangCh...

About the Role We are seeking a qualified AI Automation Engineer to join our team. The successful candidate will design, develop, and deploy AI-powered automation solutions to enhance operational efficiency. Key Responsibilities Identify and implement automation opportunities using artificial intelligence and machine learning. Develop and integrate machine learning models with existing systems. Maintain scalable data pipelines and monitor system performance. Collaborate with cross-functional teams to deliver automation projects. Translate complex business needs into technical designs and scalable automation solutions. Strong software engineering fundamentals and Python coding skills. Qualifi...

Job Title: Generative AI Engineer About the Role: We are seeking a highly skilled and innovative Generative AI Engineer to join our AI/ML team. The ideal candidate will have hands-on experience in building and deploying GenAI applications using modern frameworks and cloud platforms. You will work on cutting-edge projects involving Retrieval-Augmented Generation (RAG), prompt engineering, and large language model (LLM) orchestration. Key Responsibilities: Design, develop, and deploy GenAI solutions using frameworks like LangChain and LangGraph . Implement RAG pipelines for enterprise search and knowledge-based systems. Develop and optimize prompt engineering strategies for various use cases. ...

Role & responsibilities 5+ years of professional experience in building Machine Learning models & systems Hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. Experience in driving the engineering team toward a technical roadmap. Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must. Understanding of Cloud services, including Azure, GCP, or AWS Excellent communication skills to effectively collaborate with business SMEs Develop and optimize LLM-based solutions : Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, re...