648 Langgraph Jobs - Page 25

Bachelors degree or higher in Machine Learning, Computer Science, Computational Linguistics, Mathematics or other relevant technical field from premier institute. •Strong foundation in Probability, Statistics, Linear Algebra, Calculus, Machine Learning and Generative AI/LLM. •Expertise in Deep Learning techniques and applications. •Strong understanding of Generative AI (GenAI) including math behind the models and its practical implementations. •Hands-on experience working with Large Language Model APIs like Azure OpenAI, Anthropic etc.. and cloud ecosystems like Azure, AWS, GCP, Databricks •Proficiency in LangChain, LangGraph, and working with Vector Databases for advanced data retrieval and...

Key Responsibilities: Design and development of AI-driven applications using frameworks such as LangChain, LangGraph, CrewAI, AutoGPT, and Autogen. Build and maintain RESTful APIs, GraphQL endpoints, and gRPC services to support scalable AI features. Support the development of intelligent agents and multi-agent collaboration mechanisms. Implement reasoning techniques including ReAct, Chain-of-Thought (CoT), and Tree-of-Thought (ToT) as part of AI workflows. Contribute to retrieval-augmented generation (RAG) pipelines using vector stores like Weaviate, Pinecone, FAISS, or ChromaDB. Integrate tool-use APIs, function calling, MCP, and external workflows via tools like Zapier or N8N. Work with o...

Primary Responsibilities: Design and develop AI-driven web applications using Streamlit and LangChain. Implement multi-agent workflows with LangGraph. Integrate Claude 3 (via AWS Bedrock) into intelligent systems for document and image processing. Work with FAISS for vector search and similarity matching. Develop document integration solutions for PDF, DOCX, XLSX, PPTX, and image-based formats. Implement OCR and summarization features using EasyOCR, PyMuPDF, and AI models. Create features such as spell-check, chatbot accuracy tracking, and automatic re-training pipelines. Build secure apps with SSO authentication, transcript downloads, and reference link generation. Integrate external platfo...

Role & responsibilities Minimum Qualifications: • 23 years of hands-on experience developing production-grade LLM applications. • 3 to 5 years of overall software development experience. • Minimum 1 year of experience in autonomous agent development using the LangGraph framework or similar. Must-Have Skills: 1. Production-Grade LLM Development: Proven experience in developing and deploying large language model applications. 2. Autonomous Agent Development: Hands-on experience with frameworks like LangGraph for building autonomous agents. 3. Advanced RAG Architectures: Expertise in hybrid search, multi-vector retrieval, and contextual compression. 4. Prompt Engineering and Vector Search Optim...

Responsibilities Job Responsibilities: Architect and Design scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc. Collaborate with cross-functional teams to identify business needs and develop tailored solutions Provide technical leadership and guidance to junior team members Stay up-to-date with the latest advancements in AI, machine learning, and data science, and apply this knowledge to improve our solutions Communicate complex technical concepts to non-technical stakeholders and team members Troubleshoot and resolve technical issues, and provide support to ensure high system uptime and performance Devel...

Note: Need candidate only from Startup, Banking, Fintech, Product Based We are not looking for NIT or IIT or VIT Candidates. Please don't apply. Required Qualifications: 1+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop...

Roles and Responsibilities Design and develop data science solutions using Python. Experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) Develop machine learning models using TensorFlow or PyTorch and deploy them on Kubernetes, MLflow, and KServe clusters. Familiarity with machine learning deployment and MLOps tools Experience working with model repositories and fine-tuning frameworks like Hugging Face. Experience with frameworks like LangGraph/LangChain. Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. ...

We are seeking a highly skilled Generative AI Consulting Director to join our dynamic team, where they will lead our consulting team, manage the delivery of consulting services, guide clients through the implementation of our Gen AI platform, and ensure the successful adoption of the platform across industries. Key Responsibilities: Lead or mentor a global team of AI consultants, solution architects, and professional services teams. Develop and execute the strategy for consulting and professional services for the Gen AI platform. Manage the end-to-end Implementation our platform in client environments, ensuring high quality implementations, on time delivery, and alignment with customer expec...

About the Job : The Digital workforce team is part of Red Hats Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. In this role, you will work as a member of a highly dynamic, and fast-paced team. As part of the development team, youll need to be creative, motivated, and proficient in architecting and designing cutting-edge applications that leverage Generative AI. You will work closely with different teams, stakeholders, product owners, and program managers to design, document, and develop solutions. We are seeking talented engineers to spearhead...

3+ years of professional frontend development experience Strong skills in React, React Native, TypeScript, HTML, and CSS Experience building mobile and web apps with shared component libraries Required Candidate profile Develop frontend features in React (web) and React Native (mobile) • Build responsive dashboards, mobile tools, and planning interfaces for AI agents • Integrate geospatial visualizations

5+ years of professional experience in software engineering, preferably in ML/AI environments Strong command of Python 3, including data science/ML libraries (Pandas, NumPy, Scikit-learn, proficient in React and OO languages like Java or C# Required Candidate profile Design and develop AI-powered agents to improve decision-making and automation in real world scenarios Build and implement agent workflows using LLMs and orchestration frameworks like LangGraph

Way of working - Work from office (5 days a week) Job Title: Software Development Engineer III Location: Bangalore Tenure: 5 to 7 years Position Overview: As an SDE III at Swiggy, you will play a pivotal role in designing and architecting intelligent systems with a strong emphasis on Agentic AI and multi-agent frameworks. You will contribute to the development of cutting-edge Conversational AI platforms using technologies like Langchain, Langraph, and LLMs from providers such as OpenAI, Anthropic (Claude), Bedrock, Azure, and others. Your responsibilities include owning end-to-end architecture for your team's systems, co-driving the team's technical vision, and transforming product requireme...

Responsibilities: * Develop cutting-edge Agentic AI solutions using Langchain, Langgraph & OpenAI technologies. * Collaborate with cross-functional teams on project delivery and knowledge sharing. Health insurance Work from home

Required Skills 7+ years of professional Python development experience Hands-on experience with at least one agent framework (CrewAI, LangChain, LangGraph, or equivalent) Strong understanding of LLM capabilities, limitations, and prompt engineering Experience with RESTful API design and async Python (FastAPI preferred) Knowledge of vector databases and RAG (Retrieval Augmented Generation) systems Familiarity with financial or tax domains Demonstrated leadership in technical decision-making Excellent written and verbal communication skills Nice to Have Experience with AWS services, particularly Lambda and EKS Background in financial services or tax preparation software Knowledge of security a...

We are seeking a skilled, motivated, and quick-learner Full Stack Developer to join our team working on cutting-edge Gen AI development work. The successful candidate will be responsible for developing innovative applications and solutions using including frontend and backend. While the solutions will often utilize Retrieval Augmented Generation (RAG), Agentic frameworks the role will not be limited to this, and will involve various AI technologies. Develop and maintain web applications using Angular, NDBX frameworks, and other modern technologies. Design and implement databases in Postgres DB, apply & implement ingestion and retrieval pipelines using pgvector, neo4j, ensuring efficient and ...

Job Type: Full Time Job Description: We are seeking an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions. The ideal candidate should have a strong foundation in developing AI/ML-based solutions, including expertise in Computer Vision (OpenCV). Additionally, proficiency in developing, fine-tuning, and deploying Large Language Models (LLMs) is essential. As an AI Engineer, candidate will work on cutting-edge AI applications, using LLMs like GPT, LLaMA, or custom fine-tuned models to build intelligent, scalable, and impactful solutions. candidate will collaborate closely with Product, Data Science, and Engineering teams to define, develop, ...

Role & responsibilities Expertise in Data Analysis, Statistics, Computer Vision, AI & Machine Learning Concepts Unflinching zeal to learn, to try out Proof of Technology for new and emerging AI/ML Design and develop applications powered by Large Language Models (LLMs) like GPT-4, Claude, Gemini, and open-source models (LLaMA, Mistral, etc.) Implement RAG pipelines using LangChain and LangGraph for production-ready applications. Build and orchestrate autonomous and tool-using LLM agents. Integrate with vector databases (e.g., Pinecone, Chroma, Weaviate, FAISS) for semantic search and memory storage. Use tools like OpenAI Function Calling, React, or LangGraph Agents for decision-based workflow...

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