6 Langchain Framework Jobs

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: We are seeking an experienced APA Developer specializing in autonomous agents and Large Language Models (LLMs) to join our team. The ideal candidate will help design, develop, and optimize agents that can perform complex tasks autonomously while maintaining reliability and safety. Responsibilities: - Hands-on experience with: - Building and deploying autonomous agents - LangChain framework for developing applications - Retrieval Augmented Generation (RAG) systems - Large Language Models (LLMs) and their APIs - Solid understanding of safety principles and best practices - Resolving Hallucinations in the outcomes - Proven team handling experience - Experience in customer-facing roles, with the ability to understand and translate business requirements effectively. - Proven experience in collaborating with developers and technical teams. - Candidate should have managed projects for 10+ team members Key Responsibilities - Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks - Develop and optimize RAG systems for improved information retrieval and response generation - Create robust evaluation frameworks for testing agent performance and safety - Implement monitoring and logging systems for agent behavior - Develop documentation and best practices for agent development - Contribute to the improvement of agent architecture and capabilities Mandatory skill sets: Technical Skills - Advanced Python programming with expertise in async programming and API development - Experience with vector databases and embedding models - Proficiency in implementing RAG pipelines and knowledge retrieval systems - Familiarity with prompt engineering and LLM optimization techniques - Experience with development frameworks and tools - Knowledge of modern software development practices (Git, CI/CD, testing) - Experience in customer-facing roles, with the ability to understand and translate business requirements effectively. - Proven experience in collaborating with developers and technical teams. - Candidate should have managed projects for 10+ team members Preferred skill sets: - Multiple LLM providers (OpenAI, Anthropic, etc.) - Tools for agent orchestration and workflow management - Natural Language Processing (NLP) techniques - Container technologies (Docker, Kubernetes) - Understanding of semantic search and information retrieval concepts - Knowledge of agent alignment and safety considerations Years of experience required: 8-11 year Education Qualification: B.E/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Intelligent Automation (IA) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Coaching and Feedback, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM) + 41 more Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship Government Clearance Required Job Posting End Date Show more Show less

6+ Years of prior analytics and data science experience in driving projects involving Advanced Analytics and Data Science Collaborate with cross-functional teams including Engineering and Business to experiment, implement and deploy complex AI and Gen AI capabilities Strong experience in Statistical Modelling and in Machine Learning techniques like Regression, GBM, Decision Trees, Random Forest, K-Means Clustering, Strong exposure in NLP/Text Analytics, SVM, LSTM, Deep Learning, Neural network Experience in deep learning frameworks such as Tensor Flow, Keras or PyTorch In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Advanced proficiency in Python. Advanced experience in SQL/Hive will be preferred Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus. Power BI/Tableau (preferred) Proven analytical and quantitative skills with an ability to use hard data and metrics to back up assumptions, develop business cases and complete root cause analyses Ability to communicate effectively with diverse clients/stakeholders Ability to manage a team Tier I/II candidates preferred

As an experienced Full Stack Developer at Avya Technology, you will be responsible for building and maintaining cutting-edge web applications using technologies such as React.js, Next.js, Node.js, and TypeScript. You will have the opportunity to integrate AI models and work on AI chat interfaces, enhancing user experiences through prompt engineering techniques. Leveraging AI-native tools like Cursor, Replit, Copilot, and Tannine, you will write clean, maintainable code and collaborate with cross-functional teams to deliver innovative solutions. Your role will involve actively participating in sprint planning sessions, optimizing performance and scalability using best practices and DevOps tools, and shipping features quickly using platforms like Vercel, Supabase, Railway, and n8n. With a strong focus on full stack development, you will utilize your expertise in React.js, Next.js, Node.js, Express, and PostgreSQL databases to create seamless frontend and backend solutions. Additionally, your proficiency in working with AI/LLM APIs such as OpenAI and Claude, along with frameworks like LangChain, AutoGen, or Manus, will be crucial in driving advanced AI workflows. To succeed in this role, you should possess 5-6 years of hands-on experience in full stack development, strong proficiency in JavaScript, TypeScript, React, Next.js, and Node.js, as well as practical knowledge of prompt engineering and vector search concepts. Comfort with modern development and deployment tools like Vercel, Railway, n8n, GitHub, and AI-powered IDEs will be advantageous. Excellent problem-solving skills, effective communication, and leadership qualities are essential attributes that will enable you to mentor junior developers and contribute to the success of the team. At Avya Tech, you will have the opportunity to participate in a comprehensive interview process that includes application review, HR screening, technical assessment, and a final interview. Upon joining, you will benefit from a hybrid work environment that offers flexibility to work remotely or in the office, allowing you to manage personal time effectively. With flexible timings, practical training, paid certifications, rewards and recognition programs, and team-building activities, Avya Technology is committed to providing a supportive and inclusive workplace where your skills and contributions are valued and recognized. Join us today and be a part of a dynamic team that values diversity, innovation, and personal growth.,

You are a Senior Machine Learning Engineer with 2-5 years of experience, located in Hyderabad. As a Senior Machine Learning Engineer, your primary responsibilities will include leading the training, fine-tuning, and validation of Language Models (LLMs) customized for web applications. You will be tasked with deploying and optimizing these models to web-based inference endpoints to ensure fast responses and high uptime. Monitoring the real-time performance of models on the web and making necessary adjustments to maintain desired accuracy will be a crucial part of your role. Staying updated on advancements in LLMs, specifically focusing on techniques like prompt engineering, PEFT, LORA, and SFT tailored for web contexts is essential. You will utilize the LangChain framework to develop applications powered by language models, ensuring seamless integration with data sources and enabling the model to interact effectively with its environment. Managing LangChain's modular abstractions and implementing use-case specific chains for optimal language model application will also be part of your responsibilities. Upholding strict data privacy and security standards during web-based model deployments is paramount. Collaboration with the Full Stack Development team to ensure smooth integration of models into web platforms will also be a key aspect of your role. To qualify for this position, you should have solid experience as a Machine Learning Engineer, with expertise in Gen AI & LLMs suitable for web environments. Proficiency in machine learning frameworks like TensorFlow and PyTorch is required. A proven track record of training, fine-tuning, and deploying LLMs optimized for web platforms is essential. Deep comprehension of advanced techniques like prompt engineering, PEFT, LORA, and SFT in web contexts is necessary. Hands-on expertise with the LangChain framework, including its modular abstractions and use-case specific chains for language model application, is expected. Familiarity with tools and practices for monitoring model performance and metrics on the web is a plus. An innovative problem-solving mindset, combined with a flair for optimization, will be beneficial. Outstanding communication skills and a teamwork-oriented attitude are highly valued in this role.,

You will be joining our innovative EdTech team as an experienced AI/ML Content Developer. Your primary responsibility will be to create cutting-edge educational content in the field of artificial intelligence and machine learning. You will play a key role in developing comprehensive courses that cover a wide range of AI/ML domains, starting from foundational machine learning concepts to advanced generative AI and agentic AI systems. This position presents an exciting opportunity for you to influence how the next generation of AI practitioners learn and apply these transformative technologies. In this role, your tasks will include designing and developing comprehensive courses across AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. You will create diverse content formats, including hands-on labs, interactive exercises, assessments, and project-based learning modules. Additionally, you will structure learning paths that logically progress from foundational concepts to advanced AI applications. You will also develop practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks. Ensuring the quality and industry relevance of the content will be a crucial aspect of your role. You will need to ensure that all content reflects current AI/ML best practices and stays aligned with rapidly evolving industry trends. Creating practical, real-world scenarios that simulate actual AI development workflows and challenges will be part of your responsibilities. You will also collaborate with our instructional design team to optimize learning outcomes for complex technical concepts. Furthermore, you will work closely with our platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be essential. Staying updated with the latest AI research, tools, and educational methodologies, as well as integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant, will also be part of your role. For this position, we are looking for candidates with 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Essential qualifications include domain expertise in machine learning algorithms, deep learning architectures, and AI system design. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and TensorFlow, and expertise in natural language processing techniques are also required. Additionally, strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating technical AI/ML content are essential for this role. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or a related field, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and an understanding of accessibility standards in educational content are also desirable.,

You are an experienced AI/ML Content Developer who will be joining an innovative EdTech team. Your primary responsibility will involve creating cutting-edge educational content in artificial intelligence and machine learning. This includes developing comprehensive courses covering various AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. Your role will be pivotal in shaping how the next generation of AI practitioners learn and apply these transformative technologies. Your key responsibilities will include designing and developing comprehensive courses, content creation in various formats like hands-on labs, interactive exercises, assessments, and project-based learning modules. You will also be structuring learning paths logically from foundational concepts to advanced AI applications. Practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks will be a significant part of your role. Ensuring that all content reflects current AI/ML best practices and industry trends will be crucial. You will be creating practical, real-world scenarios that replicate AI development workflows and challenges. Moreover, developing hands-on projects involving model training, fine-tuning, and deployment to provide learners with portfolio-worthy experience will be essential. Collaboration with the instructional design team to optimize learning outcomes for complex technical concepts is also expected. You will work closely with the platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be part of your responsibilities. Staying current with the latest AI research, tools, and educational methodologies is necessary. Additionally, integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant is also expected. To qualify for this role, you should have at least 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Domain expertise in machine learning algorithms, deep learning architectures, and AI system design is required. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and/or TensorFlow, and expertise in natural language processing techniques are necessary technical skills. Strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating compelling narratives around AI applications and use cases are also essential. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or related fields, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and understanding of accessibility standards in educational content are also desirable.,