320 Langgraph Jobs - Page 8

You should have 3 to 10 years of experience in AI development and be located in Coimbatore. Immediate joiners are preferred. A minimum of 2 years of experience in core Gen AI is required. As an AI Developer, your responsibilities will include designing, developing, and fine-tuning Large Language Models (LLMs) for various in-house applications. You will implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. Additionally, you will develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. Building and managing data pipelines for processing, transforming, and feeding structured/unstructured data into AI models ...

We are conducting an in-person hiring drive for the position of AIML Engineer in Hyderabad on 26th July 2025. Interview Location is mentioned below: Interview Location: Gate 11, Argus Block-Sattva Knowledge City, 6th Floor Beside T-hub, Silpa Gram Craft Village, Madhapur Rai Durg, Hyderabad, 500081. We are looking for an experienced and talented AIML Developer to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI, ML, LangChain, LangGraph, Microservices (Fast API), Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data ...

The selected candidate will be working for our Indian JV - D2AI Labs in Bangalore/Chennai/Remote. Key Responsibilities: Lead Agent Development: Architect, build, and deploy the central interface agent that connects and coordinates specialized AI agents. Agent Orchestration: Implement reliable communication, delegation, and data-handling mechanisms between agents. LLM Integration: Fine-tune and integrate LLMs (Azure OpenAI or similar), utilizing advanced prompt engineering techniques. MLOps Implementation: Maintain robust MLOps pipelines, CI/CD workflows, and performance monitoring on Azure. Vector Database Management: Design data pipelines using vector databases like Pinecone, Qdrant, or Mil...

Develop Conversational Text AI platforms using modern LLM frameworks. Work across backend (Python, Node.js), frontend (JavaScript, HTML/CSS), databases, and AI/ML stacks. Required Candidate profile Proficient in Python, Node.js, JavaScript, HTML/CSS, AI/ML (LLMs, embeddings, prompt engineering), Redis, PostgreSQL, Cosmos DB, DevOps, CI/CD. Bachelor’s or Master’s in CS/related field.

We are looking for a skilled Senior Data Scientist with experience in building cutting-edge AI solutions, particularly in the domains of Generative AI, Agentic AI, and LLM-based architectures. If youre passionate about developing intelligent, autonomous systems, this role offers an exciting opportunity to work on impactful, next-gen AI initiatives. Responsibilities Architect and implement multi-agent AI systems leveraging LLM frameworks such as LangChain, LangGraph, and AutoGen. Develop context-aware RAG pipelines to power grounded, relevant AI outputs. Design and deploy scalable Generative AI services using FastAPI and integrate them with Azure AI pipelines. Orchestrate complex agent workfl...

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources, and opportunities to unleash their full potential. The power we create together when we combine your strengths with ours is unstoppable. Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and ana...

As a member of our team, you will be responsible for working on the Conversational Text AI Platform, where your primary tasks will include building and maintaining the system using cutting-edge LLM frameworks. You will collaborate closely with product owners and domain experts to develop reusable components for various business processes. Additionally, you will play a key role in developing core infrastructure and reusable components to facilitate the deployment of conversational AI systems. Your work will involve orchestration, prompt engineering, and integrating LLM-powered solutions with enterprise data platforms. In the realm of Generative AI & Model Optimization, you will be engaged in ...

The Senior Data Science Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing th...

As a skilled and visionary AI Lead at Matellio, you will be responsible for driving the development of advanced AI solutions. This dual role will require you to provide technical leadership and hands-on development expertise, making it an ideal position for individuals who excel at solving complex problems using machine learning, NLP, and LLM technologies. Your key responsibilities will include leading and mentoring a team of 45 AI/ML engineers, overseeing the entire project lifecycle from research to production deployment. You will be tasked with designing and owning high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainabi...

The Senior Data Scientist - R01551342 position is for a Data Science Lead with expertise in problem formulation, OKR validation, data wrangling, data storytelling, problem solving, Excel VBA, data curiosity, technical decision making, communication & articulation, business acumen, design thinking, and data literacy. As the Agentic AI Lead, you will play a crucial role in researching, developing, and deploying semi-autonomous AI agents to address complex enterprise challenges. You will be required to leverage LangGraph, lead projects aimed at constructing multi-agent AI systems with enhanced autonomy and decision-making capabilities. The ideal candidate should possess in-depth knowledge of LL...

As a Backend Developer, your primary responsibility will be to develop and maintain backend services using Python, with a strong emphasis on FastAPI, NumPy, and Polars for efficient handling of data. You will be tasked with building and managing agentic workflows utilizing LangChain, LangGraph, and MCP Agents to facilitate dynamic, multi-step reasoning. Additionally, you will design and execute RAG pipelines for contextual information retrieval and response generation. Integration and optimization of MongoDB or similar vector databases like FAISS and Pinecone for semantic search and embedding storage will also fall under your purview. Collaboration with cross-functional teams to deploy scala...

As a Senior Generative AI Engineer, your primary role will involve conducting original research on generative AI models. You will focus on exploring model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. It is essential to maintain a strong publication record in esteemed conferences and journals, demonstrating your valuable contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML). In addition, you will be responsible for designing and experimenting with multimodal generative models that incorporate various data types such as text, images, and other modalities to enhance AI capabilities. Your expert...

Job Title: Senior Back End Engineer Company Name: TechnoGen India Pvt. Ltd. Location: Remote (Hiring from Hyderabad, India) Job Type: Full-Time Experience Required: 5 15 years Contact Email: goutham.s@technogenindia.com Job Description: TechnoGen India is hiring a Senior Back End Engineer to join our high-performing Engineering team. You will work closely with the Head of Engineering and Product Team to develop and maintain scalable AI-based applications. Key Responsibilities: Design, develop, and maintain robust server-side logic and backend architecture. Ensure high performance and responsiveness for AI-driven platforms. Define system requirements and propose reliable solutions. Troublesho...

Key Responsibilities: Design and Implement RAG-Based Solutions: Lead the development of a robust RAG-based system that seamlessly integrates generative AI models with retrieval mechanisms, ensuring optimal accuracy, performance, and scalability. Agent-Based Solution Development : Build AI agents that can autonomously perform tasks using information retrieval, language models, and multi-turn interactions using AutoGen, LangGraph frameworks. Generative AI Integration : Leveraging LLMs (e.g., GPT, Anthropic, Llama, Deepseek etc.) for generating high-quality, contextually accurate content in response to user queries. Prompt Engineering: Strong proficiency in prompt engineering to design, test, a...

We are looking for a Technical Architect who has experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as a Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators. Responsibilities Collaborate with stakeholders (Product Owners, Engineers, Clients) to define and refine software architecture aligned with product vision. Design scalable, modular, and secure system architecture using microse...

As a candidate applying for this position, you should be prepared to attend face-to-face interviews and be open to the opportunity. The role offers a 5-day work week based in the office. Your responsibilities will include architecting and implementing REST APIs, designing and implementing high-performance applications with low latency, integrating GenAI-powered capabilities into backend systems, testing software for responsiveness and efficiency, collaborating with front-end developers, and troubleshooting application-related issues. You will also be expected to take initiatives in building efficient solutions for scalability and work closely with the infrastructure team in triaging major in...

Hi, Greetings from Sun Technology Integrators!! This is regarding a job opening with Sun Technology Integrators, Bangalore. Please find below the job description for your reference. Kindly let me know your interest and share your updated CV to nandinis@suntechnologies.com ASAP. Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Goo...

Roles & Responsibilities GenAI Developer (5+ Years Experience) Minimum 5 years of overall experience , with at least 2 years of hands-on experience in building Generative AI (GenAI) solutions Strong working knowledge of Agentic AI frameworks , including experience in one or more of the following: LangGraph CrewAI Proven expertise in GenAI technologies , including: Python , LangChain , LangGraph , OpenAI APIs Azure Document Intelligence (ADI) Azure Service Bus Retrieval Augmented Generation (RAG) Experience in designing and implementing end-to-end GenAI applications with focus on scalability and enterprise-grade architecture Strong understanding of the Property & Casualty (P&C) Insurance doma...

Responsibilities: Generative AI Development: Design and implement solutions leveraging Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG (Retrieval-Augmented Generation) setup. Machine Learning Model Implementation: Implement machine learning models using scikit-learn and TensorFlow . AI/ML Frameworks: Utilize Hugging Face, LangChain, LangGraph, and PyTorch for AI/ML development. Cloud AI Services: Work with cloud AI services, particularly AWS SageMaker and AWS Bedrock . MLOps & DevOps: Contribute to MLOps and DevOps practices , including data pipeline setup, Apache Airflow, CI/CD , and containerization (Docker, Kubernetes) . API Development: Develop and...

5+ Years of experience in the design & development of state-of-the-art language models, Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs Proven track record of successfully deploying and optimizing LLM models in cloud(AWS, Azure or GCP) for inference in production environments and proven ability to optimize LLM models for inference...

Experience: 3+ years Location - Bengaluru Mode of work - Work from office Mode of interview - Face to Face Notice Period : Immediate joiners We are looking for a highly motivated and passionate AI/ML Engineer with a strong foundation in machine learning and hands-on project experience in Generative AI. will work on cutting-edge technologies involving Large Language Models (LLMs), Agentic AI, and toolkits like Lang Chain, Lang Graph, and Phi Data. Key Responsibilities Build, experiment with, and fine-tune Generative AI models using popular LLMs (e.g., OpenAI, LLaMA, Mistral, etc.). Develop agent-based workflows using tools such as LangChain, LangGraph, and PhiData. Create interactive and dyna...

Prompt Engineering and its strategies Should know how LLM works and its hyper parameter ( temperature, top_p) Agentic AI framework like langchain, lang graph, crew ai RAG LLM evaluation and observability Python Deployment on any one of cloud services

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana (IN-TG), India. As a part of this inclusive and forward-thinking organization, you will need to have 4+ years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. The ideal candidate should have at least 2+ years of working experience with GCP (Google Cloud Platform) or alternate public/hybrid cloud, with a proven track record of delivering products at scale using cloud services and architectures. Additionally, you should possess 2+ years of experience with Python and 3+ years of experienc...

As a Senior Python Developer at Nirvana Solutions, you will have the opportunity to work on building and scaling our AI-driven Copilot platform. With over 6 years of experience in Python development, you will play a key role in designing, developing, and implementing modern AI techniques to enhance our investment management solutions. Your responsibilities will include building scalable Python applications, refining agentic flows and memory structures, and integrating with internal/external APIs. Collaboration with product managers, UX designers, and engineering teams will be essential in translating requirements into technical designs. You will also provide technical mentoring, conduct code...

Job Title: GenAI Engineer (with Azure and GCP ecosystems) Duration: Full time role Location: Pune (Hybrid) Need someone who can join immediately OR at least in 30 days. Need someone who can join immediately OR at least in 30 days. Job description: GenAI Engineer with Azure and GCP ecosystems Skilled in Building complex GenAI solutions with high accuracy and complex use cases Skilled in Agentic platforms from procode (e.g. Autogen, Semantic Kernel, LangGraph) to Low Code (e.g. Crew.ai/EMA.ai). Skilled in Azure OpenAI and Google Vertex AI ecosystems and tooling (from training model, advance prompting, Assistant API, to agent curation). Fluent in Python, Llamaindex, Langchain, or other GenAI pa...