2401 Langchain Jobs

What we are looking for: We are seeking a Generative AI Developer to join our team of innovative and passionate developers, who are creating cutting-edge AI solutions for various domains and challenges. Responsibilities - Good/Basic understanding of full-stack development (Python/ MERN stack) and cloud technologies such as Azure and AWS. (important) DevOps on cloud and good experience in using services such as Git, Terraform, and others. Develop, test, and deploy AI models using state-of-the-art LLMs, Hugging Face, LLMs, and others, and libraries such as Llama index, Lang chain. Create custom AI models to address unique challenges and improve existing processes. Optimize and fine-tune AI mod...

8+ years in AI/ML engineering, including 2+ years in a senior/lead role. Strong expertise in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn). Proven experience with FastAPI for serving ML/GenAI APIs. Hands-on experience with Generative AI/LLMs (Hugging Face, LangChain and LangGraph, Azure OpenAI, Vertex AI, etc.). Strong background in MLOps (CI/CD, ML pipelines, model registries, monitoring). Cloud expertise in Azure or GCP. Excellent leadership, mentoring, and stakeholder collaboration skills. Experience with vector databases (Pinecone, ChromaDB, FAISS, Azure AI Search, OpenSearch). Knowledge of prompt engineering, fine-tuning, and evaluation frameworks. Prior experience buildi...

We are seeking a highly skilled AI/ML Engineer specializing in Generative AI (GenAI) to design, build, and deploy intelligent systems powered by advanced machine learning and deep learning models. The ideal candidate will have experience in large language models (LLMs) , transformers , and multimodal AI , and be passionate about applying cutting-edge research to solve real-world business problems. You will work closely with data scientists, software engineers, and product teams to develop scalable AI solutions using frameworks such as PyTorch , TensorFlow , and Hugging Face Transformers . Key responsibilities: Design, develop, and deploy AI/ML models for natural language processing (NLP), co...

Role & responsibilities Strong expertise in Python programming (Mandatory) Hands-on experience with LangChain and LangGraph • Proficiency in Pandas for data manipulation • Solid understanding of SpaCy for NLP tasks • Strong foundation in data structures and algorithms • Experience with REST APIs, JSON, and data integration • Experience with OpenAI/GPT • Exposure to vector databases • Familiarity with prompt engineering and retrieval-augmented generation (RAG) Knowledge of containerization (Docker) and deployment pipelines Preferred candidate profile

We hope you are ready to change the game! Be ready to: Be a part of the Gen AI team which is ready to change customer behaviour and make it more intuitive Develop RAG pipelines which will be used for AI Model Training Work closely with the development and product teams to implement into production-level software Be active technical challenger for other colleagues in the team, for the purpose of mutual improvement and broadening of team knowledge Attitude First. Everything else will follow. We can grow together faster if you have: Bachelors degree in Computer or equivalent Engineering Strong Python Development skills coupled with experience in utilizing Python libraries like pandas, requests,...

Role Overview: Join XBP Global to lead the development of intelligent AI agents from design to deployment. You will work with cutting-edge tools like Langchain, Autogen, and vector databases to build scalable, production-ready systems powered by LLMs. Key Responsibilities: - Design & deploy agentic AI solutions using Python. - Build scalable backends and integrate LLMs via APIs. - Use frameworks like Langgraph, CrewAI, etc. to create intelligent agent workflows. - Collaborate across teams and drive architectural decisions. Qualifications Required: - 7+ years in backend development with Python. - Experience with agentic AI frameworks and vector databases. - Solid understanding of LLMs and clo...

Role Overview: At Upstox, you'll play a crucial role as a Leader/Director of Data Science, where you will spearhead the data science roadmap to develop data-driven and AI-powered solutions that elevate customer experience, business insights, and decision-making capabilities. Your responsibilities will involve working on advanced machine learning models, Generative AI applications, and LLM-based systems to revolutionize how users are understood and served. This high-impact position necessitates a blend of profound technical proficiency, business acumen, and product intuition. Key Responsibilities: - **End-to-End Model Development:** Lead the design, training, deployment, and optimization of m...

As an Advanced Generative AI Engineer specializing in Python, LangChain, and NLP, your main responsibilities will include: - Demonstrating strong expertise in Python programming - Utilizing LangChain and LangGraph for hands-on experience - Proficiency in Pandas for effective data manipulation - Applying solid understanding of SpaCy for NLP tasks - Building a strong foundation in data structures and algorithms - Working with REST APIs, JSON, and data integration - Utilizing OpenAI/GPT for enhancing AI capabilities - Leveraging exposure to vector databases for advanced AI development - Implementing prompt engineering and retrieval-augmented generation (RAG) techniques - Applying knowledge of c...

As a Technology Leader specializing in AI/ML and Generative AI, your role will involve architecting, designing, and implementing enterprise-grade AI platforms. Your expertise in LLMs, RAG, Agentic AI, and Azure AI Services will be crucial in driving the AI-first transformation journey for large enterprises. Additionally, you will be responsible for building AI-powered digital expert systems and leading teams to deliver scalable, secure, and business-aligned AI solutions. Key Responsibilities: - Architect and implement AI/ML and Generative AI platforms for large-scale enterprise adoption. - Develop RAG pipelines, Agentic AI workflows, and LLMOps frameworks using LangChain, LangGraph, and Hugg...

As an AI Software Engineer at our company, you will be an integral part of our advanced AI development team. Your role will involve designing, building, and deploying enterprise-grade AI-driven applications utilizing cutting-edge technologies such as LangChain, LangGraph, and Azure OpenAI. **Key Responsibilities:** - Lead the design and development of scalable, high-performance AI-powered applications. - Architect and implement full-stack solutions using Python (FastAPI) for backend and React + TypeScript for frontend. - Build and integrate LLM-based services and autonomous AI agents using frameworks like LangChain and LangGraph. - Design and implement intelligent agent workflows using Azure...

As a skilled Software Engineer (Backend & AI) with 12 years of experience, you will play a crucial role in designing, developing, and deploying scalable backend systems at Vedantu. Your focus will be on creating AI-driven features that enhance the learning experiences of millions of students. You will work with cutting-edge technologies such as Java (Spring Boot), Node.js, PostgreSQL, and MongoDB, while integrating intelligent automation and LLM-based solutions into the platform. Key Responsibilities: - Design, develop, and maintain scalable, low-latency backend services and RESTful/gRPC APIs to support a large number of concurrent users. - Implement real-time features using WebSockets and e...

As an AI Lead at Linnk Group, your role will involve designing and deploying LLM-powered GenAI solutions and RAG pipelines. You will be responsible for leading the full AI lifecycle from data to deployment, as well as building scalable, production-grade ML/LLM systems using Docker/Kubernetes. Your duties will also include implementing CI/CD, MLOps, and observability workflows, and collaborating across teams to deliver real-world AI solutions. Key Responsibilities: - Design & deploy LLM-powered GenAI solutions and RAG pipelines - Lead full AI lifecycle from data to deployment - Build scalable, production-grade ML/LLM systems (Docker/Kubernetes) - Implement CI/CD, MLOps, and observability work...

Seeking GENAI Engineer (2+ yrs exp). Must have hands-on LLMs, GenerativeAI, RAG expertise. Remote role. Python, PyTorch, cloud platforms required.Office Solution global consulting firm with $3B client value. Design AI models, implement RAG pipelines.

As a Manager, Platform Engineering, Low-code Studios and GenAI at Pegasystems, you will be a part of a high-performing engineering team that is at the forefront of low-code and AI-powered development. Your role will involve managing product engineering teams to design, develop, and deploy applications using leading low-code platforms while integrating Generative AI capabilities for smart automation and enhanced user experiences. You will collaborate with designers, product managers, and other teams to deliver high-quality solutions and participate in architecture discussions to shape the technical direction of the platform. It will be your responsibility to continuously evaluate new GenAI an...

As a highly experienced AI/ML Engineer, you will be responsible for developing and deploying cutting-edge Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to work on document parsing, Named Entity Recognition (NER), Retrieval-Augmented Generation (RAG), chatbots, and intelligent document systems. Your passion for AI will drive you to work on large-scale, impactful projects. Your key responsibilities will include: - Developing ML & DL models to solve complex business problems and enhance product functionality. - Building and deploying personalized LLMs for various applications. - Designing and implementing document parsing, NER, RAG, chatbot, and document processing...

As a Data Science Lead, your role will involve leading a team of data scientists, overseeing machine learning solution development, and translating complex business challenges into data-driven insights and models. You will be responsible for mentoring the team, planning and managing projects, designing and deploying ML systems, staying updated on AI/ML advancements, driving innovation in generative AI and LLM projects, collaborating with cross-functional teams, and presenting insights to clients and stakeholders. Key Responsibilities: - Lead and mentor a team of data scientists and interns, fostering growth and technical excellence. - Plan, prioritize, and manage projects aligned with organi...

As a skilled Generative AI Developer with hands-on experience in Large Language Models (LLMs), prompt engineering, and modern GenAI solution design, you will be responsible for building scalable, real-world GenAI applications and continuously exploring advancements in the field of Generative AI. You should be comfortable working with Retrieval-Augmented Generation (RAG), Agents frameworks, and AWS Bedrock, with a basic understanding of LLMOps practices. Proficiency in Streamlit for developing quick front-end prototypes of GenAI applications is highly desirable. **Key Responsibilities:** - Develop and maintain GenAI solutions using LLMs, RAG pipelines, and agent-based workflows. - Integrate L...

load_list_page(event)> Job listing Job details Job Information Date Opened 10/27/2025 Industry IT Services Job Type Permanent Work Experience 2-5 Years City Pune City State/Province Maharashtra Country India Zip/Postal Code 411001 About Us CCTech s mission is to transform human life by the democratization of technology. We are a well established digital transformation company building the applications in the areas of CAD, CFD, Artificial Intelligence, Machine Learning, 3D Webapps, Augmented Reality, Digital Twin, and other enterprise applications. We have two business divisions: product and consulting. simulationHub is our flagship product and the manifestation of our vision. Currently, thou...

About Company At Delaplex, we believe true organizational distinction comes from exceptional products and services. Founded in 2008 by a team of like-minded business enthusiasts, we have grown into a trusted name in technology consulting and supply chain solutions. Our reputation is built on trust, innovation, and the dedication of our people who go the extra mile for our clients. Guided by our core values, we don't just deliver solutions, we create meaningful impact. Key Tasks & Responsibilities Lead the development, integration, and deployment of Python-based applications that incorporate Generative AI (GenAI) functionalities. Design and implement core GenAI features, including Large Langu...

Mandatory Application Form - https://forms.gle/8q9byfehMFwZPWqJA About Pibit.ai Pibit.ai is transforming the underwriting landscape with Generative AI . Our SaaS solutions help insurance companies in the US make smarter, faster decisions by optimizing underwriting processes, reducing risk, and improving premiums. As we expand, we're looking for a Machine Learning Engineer - 2 to build NLP, CV & LLM based solutions and generate value for our customers. Position Overview As a MLE-2, you will design, implement, and optimize AI solutions while ensuring model success. You will lead the ML lifecycle from development to deployment, collaborate with cross-functional teams, and enhance AI capabilitie...

Job Overview: We are looking for an experienced and passionate Python/Gen AI Developer to join our team in Coimbatore. The ideal candidate will have strong expertise in Python, AI/ML frameworks, and hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems. You will play a key role in developing intelligent, scalable, and production-ready AI solutions. Key Responsibilities: Design, fine-tune, and deploy LLMs for internal applications. Implement and optimize Retrieval-Augmented Generation (RAG) pipelines. Build and deploy agentic AI systems using LangChain, LangGraph, or similar frameworks. Develop and manage scalable data pipelines fo...

Requirements GenAI (Core) Python-first implementation: Build LLM/RAG services in Python (FastAPI/asyncio, Pydantic), with clean APIs and tests. Agentic AI workflows: Tool-using agents (planning, memory, multi-step execution), function/tool calling, and recovery/fallback paths. Streaming responses: Server-streamed tokens from the model to the UI. RAG pipelines: Ingestion, chunking, embeddings, indexing, reranking; grounded answers with citations (pgvector/FAISS/Pinecone). Prompt management: Versioning, templates/params, safe fallbacks and rollback. Evaluations: Hallucination/groundedness checks, small regression suite for prompts/retrievers. Guardrails: PII detection/redaction, content safety...

We’re looking for an AI/ML Engineer with 3-5 years of experience to design and implement systems that generate dynamic narratives, integrate user interactions via voice, and deliver immersive audio outputs. Required Candidate profile 1.Strong experience with LLMs, RAG architectures, and prompt engineering 2.speech-to-text (ASR) and text-to-speech (TTS) frameworks. 3.AI developments (MCP/LLM tool calls/Human-in-the-loop)

Key Responsibilities: Design, build, and deploy scalable NLP/ML models for real-world applications. Fine-tune and optimize Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.). Develop GenAI applications using frameworks such as LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Write clean, efficient, and testable Python code. Collaborate with data scientists, software engineers, and stakeholders to define AI- driven solutions. Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications: 4+ years of experience in ...

Immediate joiners can apply.Design and develop AI solutions like chatbots using LangChain or Llama to automate tasks, improve decision-making, and extract insights from data. Collaborate with developers, and other stakeholders to understand business needs and translate them into technical requirements. Develop and maintain code to interact with databases and retrieve store, and prepare data for AI models. Integrate AI LLMS in LangChain or Llama with existing workflows and applications. Write clean, maintainable, and well-documented code.