209 Langchain Jobs - Page 9

Hiring Super Technologists for India’s Largest Pvt Bank! Build GenAI core platform from scratch. Work on cloud-native infra, agentic AI systems, and microservices using Java/Python Required Candidate profile Work with LangChain, SpringAI, Vector DBs, AWS/GCP/Azure, Kubernetes, KafkaDesign AI-led onboarding, voice bots & intelligent infra. Seeking platform builders with GenAI/LLM exposure

We're hiring an AI Agent Developer (Copilot Studio) with 3–8 YOE in Microsoft Copilot Studio, Power Platform, LLM-based frameworks (LangChain, ReAct, OpenAI), and REST API integrations. JD: https://tinyurl.com/aidev-copilotstudio

About Creatrix Campus Creatrix Campus is a next-generation SaaS platform purpose-built for higher education. With a growing customer base across the USA, UAE, Malaysia, and beyond, Creatrix simplifies operations for universities through AI, automation, and low-code/no-code configurability. Were scaling rapidly and building an architecture-first culture that values performance, reusability, and product innovation. Role Summary: We are seeking a Business Analyst with strong product sense and AI fluency to join our Product Solution Department. You will work closely with Product Owners, Clients, and Engineering teams to define scalable, configurable, and AI-augmented solutions for higher education. You wont be expected to build AI models, but you must be able to leverage AI in your daily work and stay current on trends that affect EdTech. Key Responsibilities: Product & Functional Analysis Analyze complex university workflows (Admissions, SIS, Curriculum, Accreditation, etc.) and define user requirements Create BRDs, FRDs, solution documents, user flows, and wireframes for product development Translate client problems into scalable, no-code/low-code functional solutions Participate in sprints, grooming sessions, and product roadmap discussions AI-Enhanced Solutioning Use AI tools (e.g., ChatGPT, Claude, Google Vertex AI, LangChain, GPT-based apps) to: Generate user stories, acceptance criteria, and documentation Brainstorm and evaluate AI use cases within the product lifecycle Support prototyping or feature testing with mock AI responses Stay updated on emerging AI frameworks, open-source tools, and no-code AI platforms Collaborate with AI engineering teams on data structuring, prompt design, and workflow automation ideas Stakeholder Collaboration Gather requirements from institutional users like Registrars, Deans, and IT teams Lead solution walkthroughs, CRP sessions, and UAT support with clients Translate cross-functional feedback into clear, prioritized specifications Documentation & Quality Support Maintain structured documentation on Confluence, PMIS, or Creatrix tools Support QA teams in defining test cases and validation flow Assist in training, adoption material creation, and onboarding guides Required Skills & Qualifications: Domain & Experience 3 - 6 years of experience as a Business Analyst, preferably in EdTech or SaaS Familiarity with higher education systems (SIS, LMS, Accreditation, Student Lifecycle) Strong understanding of modular SaaS architecture , workflows, and configurable systems AI Fluency (Non-Coding) Hands-on use of tools like ChatGPT, Midjourney, Prompt Engineering , or similar platforms Familiar with concepts like OCR, Recommendation Systems, Predictive Analytics , etc. Aware of AI frameworks (e.g., LangChain, LLMs, fine-tuning vs. prompting, etc.) Passionate about exploring AI for requirement writing, wireframing, testing, and knowledge management Technical & Tooling Skills Tools: Jira, Confluence, Luci chart/Miro, Creatrix PMIS, Excel, Notion Comfort reading/writing structured data (e.g., JSON, basic SQL) Ability to collaborate with engineers and speak the language of systems Soft Skills Excellent analytical, documentation, and communication skills Creative thinker with attention to detail and a strong product mindset Quick learner and strong collaborator across regional teams Nice to Have Experience working in Agile/Scrum environments Exposure to no-code platforms or AI-Project Any AI certifications (e.g., Prompt Engineering, AI Product Management)

Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks Build scalable backend systems using Python, ensuring seamless integration with UI/UX components Design and optimize generative AI models to address diverse business challenges Fine-tune pre-trained LLMs to align with specific use cases Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions Collaborate with clients to gather requirements and develop customized AI capabilities Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance

Only Immediate joiners (0-10 days) Job Summary: We are looking for a skilled and motivated Backend Lead with 7+ years of experience in building scalable backend systems using Python , Java , and SQL . The ideal candidate will have a solid foundation in backend development, data handling, and service integration. Experience with Langchain or Langraph is a strong plus. Key Responsibilities: Design, develop, and maintain backend services and APIs using Python and Java. Work with relational databases (e.g., PostgreSQL, MySQL) to design efficient schemas and write optimized SQL queries. Collaborate with cross-functional teams (frontend, product, data) to deliver robust, scalable solutions. Write clean, maintainable code and participate in code reviews. Implement unit and integration tests to ensure system reliability. Troubleshoot, debug, and optimize application performance. Contribute to technical documentation and deployment processes. Stay current with backend best practices, tools, and emerging technologies. Required Skills: 7+ years of professional experience in backend development. Strong programming skills in Python and Java . Solid understanding of SQL and experience with relational databases (e.g., MySQL, PostgreSQL). Experience in building and consuming RESTful APIs . Familiarity with version control systems, especially Git . Good understanding of software development life cycle and agile methodologies. Nice to Have: Experience or familiarity with Langchain or Langraph . Exposure to cloud platforms (AWS, GCP, or Azure). Knowledge of containerization tools like Docker . Understanding of CI/CD pipelines and basic DevOps practices. Soft Skills: Strong problem-solving and debugging skills. Clear written and verbal communication. Ability to work independently and as part of a team.

Develop applications for investment management and trading/Valuation support using Python, React, Flask, FastAPI React and AWS and LLM Unit Testing Daily Scrums with client Required Candidate profile 5+ years of React development along with Python with Flask, FastAPI, etc. Experience with RestAPI development Experience with cloud Azure/ AWS Experience with LLM /Langchain and DEvops

We are seeking an experienced Backend Engineer to drive the development of our innovative AI platform on Azure. This role will focus on designing, building, and maintaining complex agentic systems, including our existing RAG-based systems and the upcoming Graph RAG and orchestration modules. You will leverage Python, the Lang Chain library, and Azure cloud services to deliver robust backend services that empower our client solutions. SCOPE OF WORK Agentic System Development: Architect and implement backend modules that support agent-based functionalities. Develop and enhance our retrieval augmented generation (RAG) system. Build out Graph RAG systems and orchestration functionalities. Develop orchestration agents Technical Leadership: Collaborate with cross-functional teams to design and refine backend solutions. Provide technical guidance on best practices for Python development and integration of the Lang Chain library. Cloud Infrastructure & DevOps: Deploy, monitor, and maintain backend services on the Azure platform. Implement scalable microservices architecture, ensuring high availability and performance. Collaboration: Work closely with offshore team members in an agile development environment. Participate in code reviews, technical discussions, and design sessions. Quality & Documentation: Write clear, maintainable code and comprehensive documentation. Develop and enforce engineering standards and procedures. IDEAL CANDIDATE PROFILE Demonstrated AI application development or Bachelors (or higher) degree in Computer Science, Software Engineering, or related discipline. 4+ years of hands-on experience in backend development with Python. Proven expertise in building large-scale, cloud-native systems on Azure. Demonstrated experience with retrieval augmented generation (RAG) architectures and Graph RAG. Experience with MCM a plus Experience with GenAI capabilities in Databricks is a huge plus. Proficiency with the Lang Chain library and agent orchestration patterns. Experience in building microservices and RESTful APIs. Strong problem-solving skills and a proactive, detail-oriented approach. Excellent communication skills and experience working with remote/offshore teams. Prior exposure to agile methodologies and DevOps practices. Familiarity with other Azure data services (e.g., Azure Synapse Analytics, Azure Blob..etc). Knowledge of data modeling, ETL processes, and data warehousing concepts. Excellent problem-solving skills and the ability to work independently or as part of a team. Strong communication and interpersonal skills to collaborate effectively with various teams and understand business requirements. Certifications in Azure Data Engineering or related fields. Experience with machine learning and data science projects (huge plus). Knowledge of additional BI tools and data integration platform

AI Engineer Enterprise Agent Development Experience: 3 - 5 Years Exp Salary : INR 16-20 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 3:00PM to 12:00AM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : LangChain, LLM, ML Ops, AWS, Docker, Python Good to have skills : open-source, Palantir, privacy techniques, rag, Snowflake B2B SaaS (One of Uplers' Clients) is Looking for: AI Engineer Enterprise Agent Development who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders whove built things that actually work at scale. Were not just rethinking how procurement analytics is done were redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams attention, no more clunky dashboards just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If youre ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If youre ready to help us build the future of procurement, analytics come join the ride. About the Role Were looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problemsthink automated research assistants, data-driven copilots, and workflow optimizers. Youll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 35 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iteratewithout sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and worklife balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: SenseCloud.ai is a procurement-focused data and AI company that offers a self-service analytics platform designed to simplify complex procurement processes. Their business model centers on providing intuitive, AI-driven tools that empower procurement professionals to derive insights without the need for IT or data science expertise. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Role & responsibilities Urgent Hiring for one of the reputed MNC Immediate joiners Only Females Bang / Pune / Hyd Exp - 4 - 12 Years Job Description: Senior Data Scientist - Multi-Agent AI Systems About the Role We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Key Responsibilities Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems Develop robust evaluation frameworks to measure and improve multi-agent system performance Implement efficient knowledge sharing mechanisms between AI agents Write clean, efficient, and well-documented Python code for production-ready AI systems Collaborate with cross-functional teams to integrate multi-agent systems into broader product ecosystems Stay at the forefront of AI research and incorporate state-of-the-art techniques into our solutions Required Qualifications Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field 4+ years of professional experience in data science or machine learning engineering Extensive experience with Python programming and related data science/ML libraries Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models) Proven experience building RAG-based systems and implementing vector databases Strong background in prompt engineering for large language models Experience designing and implementing generative AI-based multi-agent architectures Excellent problem-solving skills and ability to optimize complex AI systems Preferred candidate profile Experience with LangChain, AutoGPT, CrewAI, or similar frameworks for building agent-based systems Familiarity with orchestration tools for managing complex AI workflows Knowledge of agent communication protocols and collaborative problem-solving frameworks Experience with distributed systems and cloud computing platforms (AWS, GCP, Azure) Contributions to open-source AI projects or research publications in relevant fields Experience with knowledge graphs and semantic reasoning systems Familiarity with MLOps practices and deployment of AI systems at scale