2510 Langchain Jobs - Page 37

Role Overview: As an Associate Sales Engineer at the company, your primary responsibility will be to provide technical expertise to the sales team. This will involve conducting product demonstrations, analyzing customer needs, and proposing tailored solutions to potential clients. Your role will require a strong blend of engineering and interpersonal skills, including problem-solving and communication, to ensure the effective communication of product benefits to customers. Key Responsibilities: - Collaborate with sales representatives to qualify leads and provide technical sales support by explaining product capabilities and use cases to potential customers. - Understand customer requirement...

As a Principal Engineer on the Platform team at Cisco's AI department, you will play a crucial role in integrating non-AI services with AI services for Cisco Cloud Control products. Your expertise in understanding service operations and architecting effective interfaces between service boundaries will be essential for the success of the product. Your responsibilities will include designing and building interfaces, ensuring seamless communication between different services, and implementing necessary instrumentation for monitoring performance, reliability, and security. Your work will contribute to delivering a powerful solution to customers. - Provide technical leadership to guide team membe...

As a Python Developer specializing in AI-driven applications, you should have at least 6+ years of experience in Python development. Your strong expertise in FastAPI for high-performance backend development will be essential for this role. It is important that you have experience working with LLMs (GPT, Llama, Claude, etc.) and AI model deployment. Hands-on experience with LangChain for AI-driven workflows is required, along with familiarity with vector databases such as FAISS, Pinecone, Weaviate, ChromaDB, etc. Knowledge of RESTful APIs, GraphQL, and authentication mechanisms is necessary. Moreover, your familiarity with Hugging Face, OpenAI APIs, and fine-tuning LLMs will be beneficial for...

As a Senior Data Scientist LLM at 4flow, your role involves developing, fine-tuning, and deploying large language models (LLMs) tailored to specific business needs. You will collaborate across teams to integrate LLMs into production systems and ensure their performance, reliability, and alignment with business goals. **Key Responsibilities:** - Fine-tune and optimize LLM and NLP models (e.g., GPT, BERT, T5, LLaMA) for real-world applications - Integrate LLMs into scalable, production-grade systems - Apply prompt engineering techniques to improve model performance and task alignment - Collaborate with ML engineers and developers to build robust AI pipelines - Evaluate model performance using ...

As a Technical Lead AI, you will be responsible for driving the design, development, and deployment of AI-driven solutions across multiple product lines. You should have a proven track record of supporting AI-embedded products, leading Gen AI initiatives, and establishing best practices in data pipelines, ML model lifecycle, LLMs, and MLOps. Your role will involve collaborating with cross-functional teams to architect scalable AI systems, mentor engineers, and ensure successful integration of AI capabilities into business applications. - Lead the end-to-end design and implementation of AI/ML and GenAI solutions, including Retrieval-Augmented Generation (RAG) pipelines. - Partner with product...

Role Overview: You are a highly skilled Generative AI Solution Architect with expertise in Agentic AI frameworks and Small Language Models (SLMs). Your role involves designing, architecting, and deploying scalable AI-driven solutions in industrial contexts to enhance operations in various sectors such as manufacturing, oil & gas, transportation, energy, smart infrastructure, and related verticals. Key Responsibilities: - Lead the end-to-end design and deployment of generative AI systems using LLMs and SLMs, integrated with Agentic AI workflows for autonomous reasoning, planning, and execution in complex industrial environments. - Select and fine-tune Small Language Models for domain-specific...

As a Full Stack Developer at DigLip7, you will play a crucial role in developing cutting-edge SaaS products and AI-driven platforms. Here's an overview of what you can expect: **Key Responsibilities:** - **AI Automation Development** - Integrate AI/ML models into platforms such as chatbots, predictive analytics, NLP, and RPA. - Automate workflows for task management, SEO audits, reporting, legal documentation, and astro predictions. - Implement AI agents for intelligent, self-learning task execution. - **Full Stack Development** - Design and build scalable SaaS applications with a multi-tenant, subscription-based model. - Develop modular back-end services using Python (Django/FastAPI/Flask)....

As Principal AI Engineer, you will lead the technical design and development of AI agent systems and LLM-powered capabilities. You'll operate at the intersection of applied research, systems design, and strategic customer engagement. While your day job includes architecting scalable, production-ready AI components, your role also spans into guiding enterprise customersserving as a thought leader in pre-sales, executive briefings, and AI strategy workshops. - **Technical Leadership** - Architect and implement advanced AI agent frameworks using LLMs (e.g. GPT, Claude, open-weight models). - Design end-to-end systems and solutions that integrate planning, memory, retrieval, and tool usage withi...

As a part of the team at Beghou Consulting, you will be involved in designing, developing, and deploying AI solutions customized for pharmaceutical clients. Your role will entail collaborating with cross-functional teams, including data scientists, business consultants, and software developers, to transform intricate life sciences challenges into AI-driven innovations. Key Responsibilities: - Design and implement AI/ML pipelines to address real-world challenges in life sciences, such as territory alignment, rep scheduling, patient segmentation, and incentive compensation optimization. - Collaborate closely with domain consultants to comprehend client requirements and create personalized AI s...

5+ years of experience in AI/ML, with strong expertise in deep learning (supervised, unsupervised, self-supervised, reinforcement learning) and Large Language Models. Experience with LangChain, LangGraph (preferred) or CrewAI / LlamaIndex

We are looking for a Senior Data Scientist with hands-on experience in Generative AI (GenAI) to drive innovation through cutting-edge AI/ML solutions. This role involves designing and implementing GenAI models and pipelines that solve business problems and enhance productivity. You will collaborate with cross-functional teams to deliver solutions using large language models (LLMs), transformers, and other generative techniques. Key Responsibilities: Develop and fine-tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation, question answering, semantic search, etc. Build end-to-end GenAI-powered solutions including prompt engineeri...

Gen AI Lang Graph Developer-Contract role Duration -6 months Candidate Specifications: 6+ years, Notice Period – Immediate to 30 days Job Description: Develop and orchestrate AI workflows using LangGraph and LangChain . Design and implement multi-agent systems and tool orchestration for enterprise use cases. Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (Pinecone, Weaviate, ChromaDB, FAISS). Integrate LLMs from OpenAI, Anthropic, Hugging Face, Cohere, or Azure OpenAI . Build backend services and APIs (FastAPI/Flask) for deploying AI-powered applications. Ensure data security, prompt safety, and guardrails for responsible AI deployments. Deploy and mo...

Role & responsibilities Junior Role Exp-3 to 6 yrs Senior Role Exp 8 to 10 yrs Overview: Were looking for a hands-on engineer to help us build and tune intelligent agents designed as LangGraph-based graphs that also leverage MCP tools. These agents run on Azure and are central to our AI-driven automation for the insurance industry. The ideal candidate is comfortable designing, implementing, and debugging multi-step agent workflows in a cloud-native environment. They should be familiar with the broader retrieval-augmented generation (RAG) stack including embeddings, vector databases, and chunking strategies as this will be helpful for scaling intelligent document understanding across submissi...

Preferred candidate profile Azure/OpenAI or AWS Bedrock experience. Responsible AI and prompt safety practices. Python + FastAPI/LangChain, vector DBs (FAISS/Pinecone), RAG. Proven production deployment experience. Role & responsibilities 6yrs to 16yrs Open for all locations Build GenAI apps using models like GPT, Claude, LLaMA with prompt engineering. Develop RAG pipelines, multimodal use cases, and agent-based workflows. Optimize cost by identifying AI opportunities and delivering efficient use cases. Create Q&A systems using knowledge repositories and embeddings. Ensure prompt safety and apply responsible AI principles. Prevent prompt injection/jailbreaking via input/output controls. Impl...

Job Overview We are seeking a highly experienced Senior/Lead AI Developer with extensive expertise in the latest Generative AI (GenAI), Agentic AI, and other cutting-edge artificial intelligence technologies . The ideal candidate has a proven track record of designing and deploying advanced AI solutions in dynamic, data-intensive environments.This role is perfect for an innovative thinker who thrives in fast-paced settings and is eager to push the boundaries of AI technology . Key Responsibilities Advanced AI Development: Architect, develop, and implement AI models and systems, with a strong focus on generative and agentic AI . Leverage state-of-the-art algorithms and frameworks to build sca...

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...

Required Qualifications 3 to 6 years of experience in software engineering, DevOps, or ML Ops with exposure to AI/LLM workflows. Strong foundation in prompt engineering and experience with LLMs like GPT, Claude,LLaMA, etc. Practical understanding of AIOps platforms or operational AI use cases (incident triage,log summarization, root cause analysis, etc.). Exposure to agentic AI architectures, such as LangGraph, AutoGen, CrewAI, etc. Familiarity with scripting (Python), RESTful APIs, and basic system debugging. Strong analytical skills and the ability to trace issues across multi-step pipelines and asynchronous agents. Joining time: Immediate Joiners to 15 days Preferred If interested, please...

We are seeking a skilled and motivated Python Developer to join our dynamic development team. As a Python Developer, you will be responsible for designing and implementing software solutions, collaborating with cross-functional teams, and ensuring the performance and responsiveness of applications. The ideal candidate will have a strong foundation in Python programming, a passion for clean and efficient code, and the ability to work in a fast-paced, collaborative environment. Must-Have Qualities: 1. Python Proficiency (7+ years): The ideal candidate should possess a minimum of 7 years of hands-on experience in Python development, demonstrating a deep understanding of the language and its bes...

Role Overview: As an AI/ML Engineer at YASH Technologies, you will be part of a dynamic team working with cutting-edge technologies to solve complex business problems and drive impactful data-driven decisions. Your role will involve designing, developing, and deploying sophisticated machine learning models, conducting in-depth data analyses, and collaborating with cross-functional teams to deliver actionable insights. Key Responsibilities: - Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI. - Develop and deploy machine learning models, with a focus on NLP and LLMs, utilizing frameworks such as LangCh...

As a Machine Learning Scientist Intern at our company, you will be responsible for supporting the development of a domain-specific language model using a collection of confidential documents. Your main tasks will include designing and fine-tuning language models, managing datasets with strict confidentiality, training and optimizing models for text-based tasks, developing testing frameworks, and documenting methods and recommendations for future improvements. Key Responsibilities: - Design and fine-tune language models for specialized domains. - Prepare and manage datasets while maintaining strict confidentiality. - Train, evaluate, and optimize models for text-based tasks. - Develop testing...

Join the Corporate AI Incubator team within Corporate Banking as a Gen AI QA Engineering Lead at Barclays. This role is pivotal in ensuring the quality, reliability, and compliance of cutting-edge generative AI solutions, including LLMs and retrieval-augmented generation (RAG) pipelines. You will lead QA efforts across multiple AI PODs, collaborating with data scientists, ML engineers, Data engineers and governance teams to build robust testing frameworks and automation pipelines that validate model performance, safety, and enterprise readiness. **Key Responsibilities:** - Designing and implementing QA frameworks for GenAI models, including prompt validation, output consistency, hallucinatio...

As a Python Developer at our company, your primary responsibility will be to lead the design and implementation of the GenAI project using Python. You will work extensively with Python libraries such as langchain, Flask, Streamlit/Chainlit, and Gradio to ensure the performance, quality, and responsiveness of applications. Your role will involve collaborating with the team to define, design, and ship new features, as well as identifying and correcting bottlenecks and fixing bugs. Additionally, you will be expected to help maintain code quality, organization, and automatization. Key Responsibilities: - Lead the design and implementation of the GenAI project using Python - Work extensively with...

Role & responsibilities Key Responsibilities: Assist in collecting, cleaning, and preprocessing large datasets. Support the development, training, and evaluation of machine learning and deep learning models. Perform exploratory data analysis (EDA) to extract actionable insights. Implement AI/ML algorithms for tasks such as classification, regression, clustering, NLP, or computer vision. Collaborate with software and research teams to integrate models into applications. Document code, experiments, and findings for reproducibility. Stay updated with emerging trends in AI/ML and suggest innovative solutions. Required Skills & Qualifications: Currently pursuing or recently completed a degree in ...

Role & responsibilities Designation : VP - ML engineer Manager Job location : remote Notice period : Only immediate joiners What you'll do Lead and inspire your team (AI engineers, platform engineers, and a product manager): Set clear goals, mentor team members, and foster a culture of impact, collaboration, and rapid learning. Implement agile processes that prioritize speed without sacrificing quality or security. Collaborate closely with customers to understand and address their AI safety challenges: Engage directly with customer teams to understand their innovation objectives, pain points, and safety requirements. Translate customer needs into actionable roadmaps aligned with their innova...

About Us: DigiLantern is a global leader in Digital solutions and technology services focused on helping our clients achieve digitization of business processes, data driven insights for better ROI and create amazing brand experiences in the digital space. We are a team of over 100 talented experts working on the latest technology stacks and providing solutions to a wide range of customers. We are pioneer into: Website Design and Development - Mobile Application Development - UI/UX Development - Digital Marketing - Digital Transformation Role Overview: We are seeking a Python Developer to build automation workflows, AI-driven solutions, and integration pipelines. The role involves developing ...