2424 Langchain Jobs - Page 16

You will be joining ClearTrail as a ML Engineer with 6-10 years of experience in Machine Learning and LLM skill set. ClearTrail is focused on developing solutions to empower those dedicated to ensuring the safety of people, places, and communities globally. With over 23 years of experience, ClearTrail has been a trusted partner of law enforcement and federal agencies worldwide, actively contributing to safeguarding nations and enriching lives. ClearTrail is at the forefront of intelligence gathering, utilizing artificial intelligence and machine learning based lawful interception & communication analytics solutions to address some of the world's most complex challenges. - Develop an end-to-e...

You will be a Senior LLM Lead specializing in GenAI and ML technologies with a strong foundation in Machine Learning and Software Engineering. The role will require you to work on designing, developing, and deploying GenAI-based systems using cutting-edge tools and frameworks. - Design and develop GenAI/LLM-based systems using frameworks like LangChain and Retrieval-Augmented Generation (RAG) pipelines. - Implement advanced prompt engineering strategies and agent-based workflows for intelligent AI systems. - Collaborate with product and engineering stakeholders to define and drive the technical roadmap for LLM and GenAI initiatives. - Translate complex business requirements into scalable, pr...

Role Overview: As a GenAI Specialist at the company, your primary responsibility will be to leverage Large Language Models (LLMs) for driving projects and enhancing AI capabilities. This will involve designing, implementing, and monitoring GenAI projects using various LLMs, tools, and frameworks. Key Responsibilities: - Utilize Large Language Models like Azure Open AI Model, Gemini 1.5 Model, Claude Model, and Mistral Model to develop and optimize AI solutions. - Implement LLM APIs in project work for seamless integration and functionality. - Deploy tools such as Google Gemini, Azure Open AI, AWS Bedrock, AWS Sagemaker, AWS Titan, Azure AutoML / AzureML, and Google Bigquery to support AI dev...

As a Finance Technology Python Developer at GenAI Solutions, you will play a crucial role in designing, developing, and deploying cutting-edge Generative AI solutions using Python. Your responsibilities will include optimizing existing solutions, driving the adoption of modern engineering practices, and collaborating with various teams to ensure the successful integration of AI solutions in the banking sector. - Design, develop, and deploy cutting-edge Generative AI solutions using Python - Optimize existing solutions and drive the adoption of modern engineering practices - Collaborate with various teams to ensure successful integration of AI solutions in the banking sector - Optimize AI mod...

Job Description: As an AI Engineer at our company, your primary responsibility will be to design, build, and deploy scalable Gen-AI applications using Python and modern AI frameworks such as FastAPI and LangChain. You should be proficient in integrating AI models in production environments and collaborating with cross-functional teams to deliver high-quality AI solutions. Key Responsibilities: - Develop and deploy AI/Gen-AI applications using Python, FastAPI, and LangChain/LangGraph. - Integrate with MCP (Model Configuration Platform) or similar orchestration tools for scalable deployments. - Collaborate with cross-functional teams to understand project requirements and deliver high-quality ...

As a Senior Architect AI/ML, you will be leading cutting-edge data and AI solution initiatives leveraging your expertise of over 10 years. Your role will be crucial in architecting enterprise-grade AI/ML platforms and implementing GenAI technologies. This will involve designing cloud-native data pipelines and ensuring scalable solutions from data ingestion to inference. Collaboration with cross-functional teams will be essential to align data and AI strategies with business requirements. - Architect and deploy AI models utilizing platforms like MLflow, Azure ML, SageMaker, and KubeFlow. - Design cloud-based big data architectures on Azure, AWS, or GCP. - Provide guidance on Gen AI integratio...

Role Overview: As an AI/ML Engineer, your responsibility will involve developing, deploying, and optimizing advanced AI models using cutting-edge tools like OpenAI APIs, Hugging Face Transformers, ONNX, and LangChain. Your expertise in Large Language Models (LLMs) and experience with various NLP frameworks will play a vital role in building scalable AI solutions. Key Responsibilities: - Expertise in Large Language Models (LLMs) and proficient in fine-tuning and deploying pre-trained models for various NLP tasks. - Strong knowledge of LangChain for building and managing LLM pipelines. - Experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) for efficient data retrieval and AI-dri...

Key Responsibilities Agentic AI & LLM Development Design, implement, and optimize agentic workflows using LangChain, LangGraph, n8n , and related orchestration tools. Setup and manage MCP servers and integrate them into agent-driven pipelines. Develop RAG (Retrieval-Augmented Generation) solutions leveraging vector databases, relational databases, and MongoDB. Implement web crawling and external MCP services (e.g., Tavily) to enhance agent capabilities. Knowledge Base Engineering Build knowledge repositories from text, audio, and video sources using embeddings, transcription, and summarization pipelines. Enable multi-modal knowledge extraction for downstream agent decision-making and summari...

In this exciting opportunity at Cogent Innovation Pvt Ltd, as an AI/ML Developer Fresher, you will be expected to bring fresh perspectives and innovative ideas to the table. **Key Responsibilities:** - Showcase academic/internship/project work in AI - Demonstrate strong foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning - Engage in hands-on experience with AI projects such as image recognition, NLP chatbot, recommendation systems, etc. - Utilize Python proficiency and experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, or Hugging Face libraries - Handle data using Pandas, NumPy, etc. - Required knowledge of LangChain **Qualifications Required:** - B...

Role: Senior Software Engineer Location : Navi Mumbai ( Ghansoli ) Work Timings: 2 PM to 11 PM Roles and Responsibilities Design & Development Architect and build AI-powered tools using LLMs (e.g., OpenAI, Claude, Mistral, etc.). Integrate and customize AI agents using frameworks like LangChain, CrewAI, or custom solutions. Collaborate with product and research teams to translate requirements into prompt workflows and agent behaviors. Design and implement scalable systems and infrastructure to support AI agents and workflows, using suitable tools and technologies. Prompt Engineering & Agentic Workflows Design advanced, modular prompt chains that incorporate memory, dynamic context injection,...

Role & Responsibilities Conversational AI & Chatbot DevelopmentDesign 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 AnalyticsAnalyze historical and real-time data to identify trends, anomalies, and patterns Work with structured and ...

Minimum Years of Experience: 15+ Years Key Responsibilities & Required Qualifications Candidate should be ready to work from the client place (Hyderabad)On site Masters degree in Artificial Intelligence, Computer Science, or related field (PhD preferred). 12+ years in AI/ML architecture, cloud infrastructure design, and full lifecycle solution delivery. Proven track record designing and deploying scalable, production-grade AI systems on AWS, Azure, and GCP. Strong expertise in ML model development, fine-tuning, and deployment with TensorFlow, PyTorch, Hugging Face, and LangChain. Deep hands-on experience with NLP, LLMs, RAG pipelines, and generative AI applications. Lead architectural decisi...

4-10 yrs in full-stack & AI/ML dev. Skilled in Python, JS/TS (Node.js, React, Next.js), AI bots (Rasa, LangChain), LLMs (OpenAI, HuggingFace), data analytics (Pandas, Power BI), SQL/NoSQL, APIs, cloud (AWS/GCP/Azure), Docker Bonus- SaaS/RaaS, UI/UX Health insurance

We are looking for a Data Scientist with expertise in Generative AI to design, build, and deploy intelligent solutions using advanced machine learning and deep learning models. The ideal candidate will have a strong background in data science, natural language processing (NLP), and hands-on experience with large language models (LLMs). Proven experience as a Data Scientist or ML Engineer . Strong knowledge of Python and libraries like PyTorch, TensorFlow, Transformers, scikit-learn, pandas, NumPy . Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Gemini, etc.) and prompt engineering . Experience with retrieval-augmented generation (RAG) , LangChain , or vector databases (e.g., FAISS,...

JOB DESCRIPTION Title: Software Engineer - Data Science Full time Chennai Role Type: Location: Reports to: Data Scientist Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 2 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI model...

Develop and fine-tune models using frameworks like Transformers (Hugging Face), OpenAI, LangChain, etc. Integrate models into scalable applications using Python and appropriate APIs or SDKs. Work on prompt engineering, embeddings, vector databases, and LLM orchestration. Analyze large datasets and apply appropriate NLP techniques (e.g., NER, sentiment analysis, summarization, Q&A systems). Stay current with the latest research and developments in LLMs and Generative AI. Collaborate with cross-functional teams including data scientists, ML engineers, backend developers, and product managers. Optimize models for inference performance and cost-efficiency. Good to have- Healthcare knowledge Loca...

Key Responsibilities Develop, deploy, and maintain ML services using Langserve for efficient model serving. Monitor model performance and manage observability using Langfuse . Containerize applications and services using Docker for consistent development and production environments. Orchestrate and manage containerized workloads using Kubernetes (EKS/GKE/AKS or self-managed). Write and maintain Groovy scripts for automation and CI/CD pipelines. Collaborate with data scientists, backend engineers, and DevOps teams to ensure smooth ML model delivery. Optimize infrastructure cost, reliability, and scalability for ML workflows. Implement monitoring, alerting, and logging best practices. Required...

Develop and fine-tune models using frameworks like Transformers (Hugging Face), OpenAI, LangChain, etc. Integrate models into scalable applications using Python and appropriate APIs or SDKs. Work on prompt engineering, embeddings, vector databases, and LLM orchestration. Analyze large datasets and apply appropriate NLP techniques (e.g., NER, sentiment analysis, summarization, Q&A systems). Stay current with the latest research and developments in LLMs and Generative AI. Collaborate with cross-functional teams including data scientists, ML engineers, backend developers, and product managers. Optimize models for inference performance and cost-efficiency. Good to have- Healthcare knowledge Loca...

Key Responsibilities : Design and implement end-to-end data pipelines for training and fine-tuning LLMs, including dataset creation, cleaning, augmentation, and labeling workflows. Apply advanced RAG techniques, prompt engineering, and model fine-tuning (LoRA, PEFT, adapters) for domain-specific use cases. Integrate AI models with backend and frontend systems via APIs, batching, caching, and streaming responses. Deploy and optimize LLMs & embeddings using APIs and/or open-source models (OpenAI, Anthropic, LLaMA-family, Mistral, etc.). Develop and maintain secure AI APIs using FastAPI/gRPC with Kubernetes and CI/CD pipelines. Implement safety and compliance layers including prompt injection d...

As an AI Engineer specializing in Speech-to-text and Text Generation, your role will involve solving a Conversational AI challenge for a client based in EMEA. Your primary focus will be on transcribing conversations and utilizing generative AI-powered text analytics to enhance engagement strategies and decision-making processes. Key Responsibilities: - Develop and fine-tune automatic speech recognition (ASR) models. - Implement language model fine-tuning for industry-specific language. - Build summarization models to extract key insights from conversations. - Develop sentiment and intent classification models. - Implement Named Entity Recognition (NER) to identify key topics. - Create predic...

Responsibilities: * Develop generative AI models using Hugging Face, Prompt Engineering & NLP DL. * Implement LLM strategies with PyTorch, Agentic AI & MLOps.

Python Developer Your Responsibilities AI/ML Engineering Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras. Build end-to-end LLM and RAG pipelines using LangChain and LangGraph. Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies. Utilize Hugging Face Transformers for model fine-tuning and deployment. Integrate embedding models for semantic search and retrieval systems. Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases. Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization. Backend & Systems Development Design and maintain Python microservic...

As an AI/ML Engineer Intern at Senda, you will be responsible for the following: - Designing, developing, and optimizing Retrieval-Augmented Generation (RAG) models. - Implementing vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts. - Fine-tuning and optimizing large language models to enhance performance and accuracy. - Applying NLP, NLU, and NLG techniques such as sentiment analysis, entity recognition, and text generation to improve conversational AI capabilities. You should have the following qualifications: - Educational Background: Pursuing or recently completed a degree in Computer Science, Data Science,...

Role Overview: As an AI Engineer specializing in Speech-to-Text and Text Generation, your role will involve solving a Conversational AI challenge for our client based in EMEA. The project aims to transcribe conversations and utilize generative AI-powered text analytics to enhance engagement strategies and decision-making processes. Key Responsibilities: - Develop and fine-tune automatic speech recognition (ASR) models. - Implement language model fine-tuning for industry-specific language. - Develop speaker diarization techniques for multi-speaker conversations. - Build summarization models to extract key insights. - Implement Named Entity Recognition (NER) for identifying key topics. - Apply...

You are looking for a smart, driven, and curious AI Automation Associate to join the team and work directly with the CEO. In this role, you will be responsible for building internal AI agents, streamlining business workflows, and exploring cutting-edge AI use cases. This position is perfect for someone with 13 years of experience, a passion for AI, strong programming fundamentals, and a desire to create real-world automations using LLMs, APIs, and no-code/low-code tools. **Key Responsibilities:** - Build AI agents and task-specific automations using Python or low-code tools such as LangChain, AutoGen, Zapier, or Make. - Collaborate closely with the CEO to identify and prototype AI use cases ...