679 Langchain Jobs - Page 7

We are seeking a Generative AI Engineer with 712 years of experience for a 12-month hybrid engagement (2 days onsite) in Bengaluru, Chennai, Hyderabad, Pune, or Vadodara. The candidate will develop enterprise-grade, cloud-native GenAI applications leveraging Azure OpenAI, Azure Cognitive Services, Azure ML Studio, and Azure Document Intelligence. Proficiency in implementing LLMs, RAG pipelines, OCR, and agent-based frameworks using LangChain, LlamaIndex, and Semantic Kernel is critical. The engineer should have experience in deploying scalable AI solutions across production environments. This role demands a mix of technical depth and applied AI implementation with strong delivery ownership and a problem-solving mindset. Location - Bengaluru, Chennai, Hyderabad, Pune, Vadodara (Hybrid 2 days WFO)

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

Key Responsibilities: Design and Implement RAG-Based Solutions: Lead the development of a robust RAG-based system that seamlessly integrates generative AI models with retrieval mechanisms, ensuring optimal accuracy, performance, and scalability. Agent-Based Solution Development : Build AI agents that can autonomously perform tasks using information retrieval, language models, and multi-turn interactions using AutoGen, LangGraph frameworks. Generative AI Integration : Leveraging LLMs (e.g., GPT, Anthropic, Llama, Deepseek etc.) for generating high-quality, contextually accurate content in response to user queries. Prompt Engineering: Strong proficiency in prompt engineering to design, test, and optimize prompts for large language models, ensuring effective agent behavior and task completion Data & Knowledge Integration : Work on integrating structured and unstructured data sources into the RAG framework to improve model outputs. Collaborate with Teams : Work closely with product, engineering, and data science teams to ensure seamless integration of AI capabilities into broader products. Security & Compliance : Ensure following best practices in data security, privacy, and compliance, particularly in AI-driven applications. Model Evaluation : Implement strategies for continuous evaluation, monitoring, and tuning of models to ensure high-quality outputs. Data Pipeline Design : Build robust data pipelines for preprocessing and integrating structured and unstructured data sources into the platform. Collaborate with Teams : Work closely with data engineers, and software engineers to ensure seamless integration of machine learning models into production environments. Performance Optimization : Implement and experiment with various techniques such as vector search , semantic search , and knowledge distillation to enhance the platforms efficiency and accuracy. Data Quality : Ensure data quality and consistency throughout the data pipeline, implementing necessary quality checks and validation processes. Requirements: 4+ years of experience with building GenAI solutions using Python and Langchain and AutoGen technologies. Agentic AI experienced developing agents using AutoGen and LangGraph frameworks. Prior experience in building GenAI solutions using effective text representation techniques and classification algorithms. Experience with ML – Model Building, Semantic extraction techniques, data structures and modelling Experience with Supervised/Unsupervised Learning, Sentiment Analysis, Statistical Analysis using NLP and Python libraries (NLTK, Spacy, Numpy, Pandas) Experienced in building Rest API’s Experience with building applications with micro services & serverless architecture Excellent communication skills Good to have: Experience with Azure cloud services Experience with Azure Foundry & Prompt flow

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

Business Analyst Lead | GenAI Strategy & Implementation | 7-10 Years of Experience Locations Open To: Gurgaon | Noida Seasoned Business Analyst Lead with 7-10 years of experience driving the adoption and operationalization of Generative AI technologies within enterprise environments. Proven ability to bridge the gap between cutting-edge innovationssuch as LLMs, RAG systems, and AI agentsand measurable business value. GenAI & Technical Expertise: Hands-on with LangChain, LlamaIndex, and RAG architectures; experience fine-tuning models using LoRA and working with vector DBs. Proficient in GenAI platforms including Azure OpenAI Studio, GCP Vertex AI, and Hugging Face. Familiar with synthetic data tools (Gretel, Mostly AI); skilled in validating data quality using SQL and Python. Business Analysis & Use Case Delivery: Skilled in identifying high-impact GenAI use cases across domains like content automation, customer service, and synthetic data generation. Expert in user story mapping for complex agent workflows (AutoGen, CrewAI) and BPMN process modeling for AI-human interaction. Conducts detailed cost-benefit analyses (e.g., GPT-4 Enterprise vs. open-source models) to inform build-vs-buy decisions. Requirements Engineering & Governance: Defines GenAI-specific NFRs including hallucination thresholds, latency SLAs, and ethical safeguards (bias, PII). Documents prompt engineering playbooks and iteration workflows to support scalable solution development. Establishes performance frameworks: token cost metrics, user trust scores, model drift alerts, and audit mechanisms aligned to regulatory standards (e.g., EU AI Act). Stakeholder Enablement: Converts technical GenAI potential into tangible business outcomes—such as reducing support costs by 30% or halving contract turnaround times with AI tools. Manages stakeholder expectations around the probabilistic nature of GenAI, implementing robust fact-checking and feedback loops.

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

We are looking for a Technical Architect who has experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as a Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators. Responsibilities Collaborate with stakeholders (Product Owners, Engineers, Clients) to define and refine software architecture aligned with product vision. Design scalable, modular, and secure system architecture using microservices and modern design patterns. Create high-level product specifications, architecture diagrams, and technical documentation. Provide architectural blueprints, guidance, and technical leadership to development teams. Build and integrate AI-driven components, including Agentic AI (AutoGen, LangGraph), RAG pipelines, and LLM capabilities (Open-source and Commercial models). Define vector-based data pipelines and integrate vector databases such as FAISS, ChromaDB, or Azure AI Search. Lead the implementation of Prompt Engineering strategies to optimize LLM outcomes. Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps. Ensure robust CI/CD and DevSecOps practices in place to streamline deployments and enforce compliance. Guide the team in troubleshooting, code reviews, performance tuning, and ensuring adherence to software engineering best practices. Conduct regular technical reviews, present progress updates, and ensure timely delivery of milestones. Drive innovation and exploration of emerging technologies, particularly in the field of Generative AI and Intelligent Automation. Requirements 10+ years of hands-on software development experience, with a strong Python background. 3+ years of experience in a Software or Solution Architect role. Proven experience in designing and building production-grade solutions using microservices architecture. Strong expertise in Agentic AI frameworks (AutoGen, LangGraph, CrewAI, LangChain, etc.). Working knowledge of LLMs (Open-source like LLaMA, Mistral; Commercial like OpenAI, Azure OpenAI). Solid experience with Prompt Engineering, RAG pipelines, and Vector Database integration. Experience deploying AI/ML solutions on Azure Cloud, leveraging PaaS components and cloud-native patterns. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of architectural patterns: event-driven, domain-driven design, CQRS, service mesh, etc. Familiarity with NLP tools, frameworks, and libraries (spaCy, Hugging Face, Transformers, etc.). Experience with Apache Airflow or other workflow orchestration tools. Strong communication and leadership skills to work cross-functionally with technical and non-technical teams.

58 years of experience in AI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Experience building and deploying production-ready agent-based solutions. Strong problem-solving skills and ability to translate business requirements into technical implementations.

Position: AI ML GENAI Architect Experience: 9+ Years Location: Pune/ Kolkata / Indore Work Mode: Hybrid (3 Days WFO / 2 Days WFH) Position Overview: We are seeking an experienced AI/ML Architect with 10+ years of experience, specializing in ML and Gen AI. The ideal candidate will possess the technical depth to design and implement cutting-edge AI/ML solutions, particularly leveraging large language models (LLMs) and agentic workflows, while translating business requirements into actionable technical architectures. This role requires a hands-on professional who thrives in a dynamic environment, delivering impactful AI/ML strategies and solutions. Mandatory Skills: GENAI, Generative AI, LLM, LangChain, LlamaIndex, TensorFlow, Prompt Engineering. Required Skills: Technical Expertise. Very good Skills in Python, Pandas, NumPy, SQL Excellent understanding of Machine Learning algorithms and metrics. Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or similar tools. Strong knowledge of at least one hyperscaler (preferably GCP or Azure). Proficiency and understanding of ML APIs on the cloud. Experience in designing and implementing agentic workflows and modular AI solutions using frameworks like LangGraph, Crew.ai, Microsoft Autogen etc. Understanding of data pipelines, ETL frameworks, and big data technologies (e.g., Spark, Snowflake, Hadoop). Architecture Design Expertise in creating AI/ML solution blueprints and technical diagrams. Familiarity with MLOps practices, microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines. Excellent understanding in Gen AI frameworks and models. Prompt Engineering, GANs, OpenAI, Dall-E, Stable Diffusion, Langchain, Lllama2. Prior experience in technical presales and building proposal Domain Expertise Preferred domain expertise in consumer/CPG/retail, supply chain Soft Skills: 1. Strong communication skills with the ability to present technical solutions to business leaders. 2. Proven ability to collaborate cross-functionally with technical and non-technical teams. 3. Problem-solving mindset with a focus on innovation and impact. Role Description: Solution Design & Architecture Work with business teams to identify requirements and design AI/ML solutions that address key challenges in the consumer/CPG/retail sectors. Develop comprehensive architecture diagrams and technology stacks tailored to business needs. Incorporate LLM frameworks (e.g., LangChain, LlamaIndex) into solution designs to deliver advanced language-based functionalities. Technical Implementation & Agentic Workflows Design and implement agentic workflows using LLMs to automate decision-making and complex processes. Build modular, scalable solutions that integrate with existing enterprise systems and tools. Ensure solutions are aligned with MLOps practices for robust deployment and monitoring. Prototyping & POCs. Rapidly develop proof-of-concept (POC) models and prototypes, showcasing the feasibility and value of AI/ML solutions. Test and refine LLM-driven workflows and agent-based models to meet business objectives. Presales. Lead AI discussions with prospects presenting Calsofts capabilities and experience and discussing client need. Understand client need and design technical solution, high-level work plans, and estimates required for an AI related sales proposal.

Job Title: Gen AI Architect Experience: 10+ years Location: Noida/Gurugram/Pune/Bengaluru Role Overview: We are seeking a Tech Lead with deep expertise in architecture, system design, and Generative AI to lead high-impact projects across strategic insurance clients. The ideal candidate will combine technical depth with business acumen to translate client problems into scalable AI-driven solutions. Experience in the insurance domain is highly preferred. Key Responsibilities: Lead the architecture and technical solutioning for GenAI-powered use cases in the insurance industry. Work closely with business teams to ideate, assess, and create use cases that demonstrate tangible value. Design end-to-end systems that incorporate GenAI components, APIs, and cloud infrastructure. Own and drive technical delivery , ensuring scalability, performance, and alignment with client goals. Collaborate with engineers, product managers, and QA to deliver production-grade solutions. Serve as the technical face to the client, supporting solution discussions and managing stakeholder expectations. Evaluate and select the right set of GenAI tools and platforms (e.g., OpenAI, LangChain, RAG pipelines, etc.). Ensure data privacy, compliance, and security standards are upheld in every solution. Required Skills & Experience: 10+ years in software development/architecture with a strong track record in system design and enterprise delivery . Proven experience in designing AI/ML or GenAI solutions , preferably using tools like OpenAI, Azure OpenAI, LangChain, etc. Strong understanding of cloud infrastructure (AWS/Azure/GCP) and integration best practices. Experience working with insurance workflows like underwriting, claims, policy administration, or financial operations. Ability to create clear technical documentation , architecture diagrams, and engineering playbooks. Hands-on development experience in Python, Node.js, or similar languages is a plus. Strong stakeholder management and communication skills. Preferred Qualifications: Exposure to GenAI use cases in insurance (e.g., submission intake, risk summarization, broker email parsing, etc.) Experience working in Agile teams and fast-paced innovation environments. Familiarity with vector databases , retrieval-augmented generation (RAG), and MLOps pipelines. Prior experience leading cross-functional engineering teams.

Role: Gen AI Engineer Exp: 5 to 8 yrs. Loc: Bangalore, Pune, Hyderabad NP: Immediate joiners, who can join in 30 days. Required Skills: Python, Large Language Models (LLM), Machine Learning (ML), Generative AI Required Candidate profile Looking for candidates working in Data Analytics companies preferably.

Key Responsibilities: Lead a cross-functional engineering team building AI-powered call center solutions. Oversee the deployment and tuning of STT, TTS, and LLM models. Translate expert agent feedback into model tuning strategies. Manage prompt engineering, RAG/CAG integration, and action workflows. Customize models rapidly for new enterprise clients. Ensure the team can: Understand speech-to-text and text-to-speech models Analyze feedback from expert call agents Develop and refine prompts for LLM tuning Create reliable, scalable workhorse models Optimize model operations to reduce cost Integrate LLMs with Retrieval-Augmented Generation (RAG) and Context-Augmented Generation (CAG) systems Build custom action workflows linked with enterprise data systems Enable rapid customization for customer-specific use cases and data environments Requirements: Strong background in NLP and LLMs (GPT, Mistral, Claude, etc.). Experience in leading AI/ML teams or mentoring. Exposure to distributed teams across time zones. Familiar with cloud platforms (AWS/GCP), vector DBs, LangChain, etc. Deep understanding of NLP, speech technologies, and generative AI stacks Strong systems architecture and cloud deployment skills Experience leading technical teams, ideally in a fast-paced environment

Job Application Link: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369 Job Summary: Experienced AI Engineer with expertise in machine learning, deep learning, and AI model development. Responsible for designing, implementing, and deploying AI/ML solutions in production environments. Will collaborate with cross-functional teams to develop cutting-edge AI systems that drive business value. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs or RNNs or Transformers or GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) 3+ years of experience

Wipro Limited is a prominent technology services and consulting company dedicated to creating innovative solutions that cater to the complex digital transformation requirements of clients. With a comprehensive range of capabilities in consulting, design, engineering, and operations, Wipro assists clients in achieving their ambitious goals and establishing sustainable businesses. With a global presence of over 230,000 employees and business partners spanning across 65 countries, Wipro is committed to supporting customers, colleagues, and communities in thriving amidst an ever-changing world. For more information, please visit www.wipro.com. As an AI/ML Engineer at Wipro's innovation arm, Lab45, located in Bangalore, you will be at the forefront of developing cutting-edge products, platforms, and solutions. Lab45 aims to leverage cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies such as Blockchain, AR/VR, and Software Defined Vehicles to empower clients and customers in adapting to the digital landscape and achieving greater success. The collaborative environment at Lab45 fosters creativity and accelerates the ideation process throughout Wipro. In this role, you will play a key part in designing, developing, and maintaining robust backend systems that integrate advanced AI and ML capabilities. Your responsibilities will include implementing and optimizing LangChain for efficient language model chaining, managing data using vector databases to enhance model performance, developing solutions based on large language models, Retrieval-Augmented Generation, and Graph RAG, and collaborating with cross-functional teams to drive innovation in AI-driven solutions. As a part of our dynamic team, you will be expected to stay updated on industry trends in AI and ML technologies and contribute to continuous improvement in our solutions through clean coding practices and effective documentation. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science or a related field, along with a minimum of 5 years of experience as a Software Engineer focusing on backend development. Proficiency in Python programming, familiarity with relevant frameworks and libraries in AI and ML, expertise in LangChain, vector databases, MongoDB, and Pinecone, as well as a deep understanding of LLMs, RAG, Graph RAG, and other Generative AI concepts are essential. Additionally, strong skills in software design, data structures, algorithms, version control systems like Git, CI/CD pipelines, analytical thinking, problem-solving abilities, and excellent communication skills are required. Preferred skills include experience with cloud platforms such as AWS, Google Cloud, Azure, and knowledge of scalable architecture, containerization, and orchestration technologies like Docker and Kubernetes. Join Wipro's reinvention journey and be a part of an organization that encourages constant evolution, growth, and empowerment. We are looking for individuals inspired by reinvention, who are ready to design their own career path and contribute to building a modern Wipro. Come to Wipro and realize your ambitions in an inclusive environment where diversity and innovation thrive. Applications from individuals with disabilities are especially encouraged.,

As a candidate applying for this position, you should be prepared to attend face-to-face interviews and be open to the opportunity. The role offers a 5-day work week based in the office. Your responsibilities will include architecting and implementing REST APIs, designing and implementing high-performance applications with low latency, integrating GenAI-powered capabilities into backend systems, testing software for responsiveness and efficiency, collaborating with front-end developers, and troubleshooting application-related issues. You will also be expected to take initiatives in building efficient solutions for scalability and work closely with the infrastructure team in triaging major incidents. Additionally, you should have experience in analyzing and researching solutions, as well as developing and implementing recommendations accordingly. To qualify for this position, you should hold a Bachelor's Degree in Computer Science or a related field, along with a minimum of 4 years of professional experience. Expertise in JavaScript (ES6) and Node JS is essential, as well as a strong understanding of algorithms and data structures. Proficiency in frameworks like Express JS and Restify is required, along with experience in building backend services for handling large-scale data. You should be able to architect high-availability applications and servers on the cloud following best practices, with a preference for microservices architecture. Experience with MySQL, NoSQL databases like DynamoDB and MongoDB, as well as GenAI agentic frameworks is advantageous. Additionally, you should have experience with complex SQL queries, Node JS concepts, technical deep-dives into code, and building and deploying GenAI-powered backend services or tools. Understanding communication through WebSockets, clean architecture, SOLID principles, AWS, Docker containerization, Python, AI-assisted development tools, and Git is beneficial for this role. If you meet these requirements and are ready to take on these responsibilities, we welcome your application for this exciting opportunity.,

As a Senior Python Engineer at JPMorgan Chase within the AM Research Technology team, you will play a crucial role in an agile team dedicated to enhancing, building, and delivering cutting-edge technology products in a secure, stable, and scalable manner. Your contributions will drive significant business impact and leverage your deep technical expertise to address a wide range of challenges across various technologies and applications, particularly focusing on cloud-based systems and AI-driven solutions. You will be responsible for executing software solutions, designing, developing, and troubleshooting technical issues with a forward-thinking approach to problem-solving. Your role will involve creating secure and high-quality production code, maintaining algorithms that operate seamlessly with different systems, and producing architecture and design artifacts for complex applications while ensuring adherence to design constraints. Additionally, you will analyze and synthesize large, diverse data sets to enhance software applications and systems continuously. Furthermore, your role will involve proactively identifying hidden problems and patterns in data to drive improvements in coding practices and system architecture. You will actively contribute to software engineering communities of practice and participate in events focused on exploring new and emerging technologies while fostering a team culture centered on diversity, equity, inclusion, and respect. To qualify for this position, you should possess formal training or certification in software engineering concepts along with a minimum of 10 years of applied experience. You must have hands-on practical experience in Java and Python development, as well as proficiency in Java frameworks like Spring and Python frameworks like Flask and SQL Alchemy. Experience in using AI/ML frameworks such as Langchain, Langchain4j, and Spring AI is essential, along with practical knowledge of AWS Services like ECS, EKS, and S3. Moreover, you should have a strong background in infrastructure provisioning using Terraform, practical experience in RDBMS like Postgres and NoSql databases like Dynamo DB and Elastic Cache, and expertise in system design, application development, testing, and operational stability. Proficiency in coding in multiple languages, along with extensive experience in developing, debugging, and maintaining code within a large corporate environment, is required. A solid understanding of agile methodologies, including CI/CD, Applicant Resiliency, and Security, is crucial, as well as demonstrated knowledge of software applications and technical processes within technical disciplines such as cloud computing, artificial intelligence, machine learning, and mobile technologies.,

You are looking for a visionary and strategic leader to assume the role of GEN AI Practice Head at our organization. In this position, you will be responsible for driving innovation, leading the development of cutting-edge generative AI solutions, and overseeing the end-to-end delivery of AI projects. Your primary objective will be to build and scale the GenAI practice in alignment with business objectives, expanding market presence, and contributing to organizational growth in AI-driven technologies. Your responsibilities will include formulating and executing the vision, strategy, and roadmap for the GenAI practice while establishing thought leadership through the identification of emerging trends and use cases in Generative AI. Additionally, you will define and standardize GenAI frameworks, methodologies, and best practices for project delivery, and build partnerships with AI technology providers, startups, and academic institutions. As the Gen AI Practice Head, you will lead the design and development of scalable GenAI-based solutions, including NLP models, image/video synthesis, and creative AI applications. Your role will also involve overseeing the selection of tools, platforms, and frameworks such as OpenAI, Hugging Face, and Google Vertex AI to ensure that solutions meet client requirements in scalability, performance, and ethical AI considerations. Furthermore, you will be responsible for building, mentoring, and managing a high-performing team of data scientists, machine learning engineers, and AI consultants. By fostering a culture of innovation, collaboration, and continuous learning within the team, you will drive initiatives to upskill and reskill teams on generative AI technologies and industry best practices. Collaboration with business development teams to identify opportunities, pitch GenAI solutions, and onboard new clients will be a key aspect of your role. You will also ensure the successful delivery of GenAI projects with a focus on quality, timelines, and client satisfaction, acting as a trusted advisor to clients by providing thought leadership on generative AI strategies and solutions. Financial and operational excellence will be crucial, as you will own P&L responsibility for the GenAI practice. Defining and tracking KPIs to measure practice success and client ROI, driving operational efficiencies to optimize costs, delivery timelines, and resource utilization are essential components of this role. To excel in this position, you must have strong expertise in Generative AI, NLP, transformers (e.g., GPT, BERT), and diffusion models. Hands-on experience with AI/ML frameworks and tools like TensorFlow, PyTorch, OpenAI, or Hugging Face is required. A proven track record in designing and deploying large-scale AI/ML solutions, experience across industries, and a solid understanding of cloud platforms (AWS, Azure, Google Cloud) for deploying AI solutions will be beneficial. Exceptional communication, problem-solving, and decision-making skills are essential for success in this role. Key Skills: OpenAI, GPT models, Hugging Face, PyTorch, LangChain, Diffusion Models,

You are a highly skilled Lead Backend Engineer with 7-10 years of experience, possessing a strong command over Java and Python along with a deep understanding of GenAI and Large Language Models (LLMs). At Team Geek Solutions, we are innovators driven by cutting-edge technology, aiming to solve real-world problems using scalable backend systems and next-gen AI. Our collaborative and forward-thinking culture values every engineer's role in building impactful products. As a Lead Backend Engineer, you will be responsible for leading a team of developers and data scientists to design scalable backend architectures and AI-driven solutions, leveraging the latest advancements in AI capabilities. Your key responsibilities will include leading and mentoring a team of backend and AI engineers, architecting and developing robust backend solutions using Java and Python, solving complex problems using structured and unstructured data, and implementing state-of-the-art LLMs such as OpenAI and HuggingFace models. You will also be involved in utilizing techniques like Retrieval-Augmented Generation (RAG) to enhance the performance and capabilities of LLM-based systems, as well as owning the development of end-to-end ML pipelines encompassing training, fine-tuning, evaluation, deployment, and monitoring (MLOps). Collaboration with business and product teams to identify use cases and deliver AI-powered solutions is another crucial aspect of your role. The required skills for this position include proficiency in Java and Python, a solid understanding of Data Structures & Algorithms, deep experience in Transformer-based models, LLM fine-tuning, and deployment, hands-on experience with PyTorch, LangChain, and Python web frameworks such as Flask and FastAPI, strong database skills with SQL, and experience in deploying and managing ML models in production environments. Leadership experience in managing small to mid-sized engineering teams is also essential. Preferred or good-to-have skills for this role include experience with LLMOps tools and techniques, exposure to cloud platforms like AWS, GCP, or Azure for model deployment, strong written and verbal communication skills for both technical and non-technical audiences, and a passion for innovation and building AI-first products. Keeping yourself updated with the latest advancements in AI and integrating best practices into development workflows will be a key aspect of your role at Team Geek Solutions.,

We are searching for a skilled and adaptable Data Engineer with proficiency in PySpark, Apache Spark, and Databricks, combined with knowledge in analytics, data modeling, and Generative AI/Agentic AI solutions. This position suits individuals who excel at the convergence of data engineering, AI systems, and business insights, contributing to impactful programs with clients. Your responsibilities will include designing, constructing, and enhancing distributed data pipelines utilizing PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. You will also be tasked with supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications. Additionally, creating and maintaining interactive dashboards and BI reports using tools like Power BI, Tableau, or Looker for business stakeholders and consultants will be part of your role. Furthermore, your duties will involve conducting adhoc data analysis to facilitate data-driven decision-making and rapid insight generation. You will be expected to develop and sustain robust data warehouse schemas, star/snowflake models, and provide support for data lake architecture. Integration with and support for LLM agent frameworks like LangChain, LlamaIndex, Haystack, or CrewAI for intelligent workflow automation will also fall under your purview. In addition, ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments (Azure/AWS/GCP) will be important aspects of your work. Collaboration with cross-functional teams, including AI scientists, analysts, and business teams to drive use-case delivery, is key. Lastly, maintaining robust data governance, lineage, and metadata management practices using tools such as Azure Purview or DataHub will also be part of your responsibilities.,

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself and a better working world for all. We're seeking a skilled Custom Copilot engineer to join the group of our NCLC Consulting team. You'll be instrumental in designing, developing, and deploying robust, scalable applications leveraging the power of Microsoft Azure and generative AI. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your Key Responsibilities: - Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills. - Performs coding, debugging, testing, and troubleshooting throughout the development process contributing to moderately complex aspects of a project. - Maintains and enhances systems by fixing complicated errors, raising risks, and escalating issues where necessary. - Works with users to capture detailed requirements, translating designs and solution architecture into design specifications. - Monitors and reports on potential risks/opportunities of emerging technologies and seeks areas for continuous improvement. - Ensures all activities adhere to the relevant processes, procedures, standards, and technical design. - Develops and promotes best practices for usage, operations, and development. - Strong analytical and communication skills with an intense drive to learn and adopt. Skills and attributes: - Design and customize robust AI solutions leveraging Azure AI Services including Azure AI Document Intelligence, Azure AI Vision, Azure AI Language, Azure AI Translator, and Azure OpenAI Service. - Build custom AI Agents through Copilot Studio and/or Azure AI Foundry through a plugin architecture, API function calling, logic apps, storage of prompts, conversation history (Azure Cosmos DB), Azure Key Vault, Container Apps, Blob Storage, Cosmos DB. - Implement intelligent solutions using SDKs like Azure AI Foundry, AutoGen, LangChain, and Semantic Kernel. - Design multi-step prompt workflows, leverage RAG patterns to integrate LLMs with enterprise data, design intelligent agents that are task-based and/or role-based by using responsible AI principles. - Design and implement solutions on Microsoft Azure, including Azure Functions, Azure App Service, logic Apps, Azure SQL Database, Azure Cosmos DB, and Azure Foundry. - Fine-tune and optimize AI models by selecting the most appropriate architectures for performance and efficiency. - Knowledge of cloud computing and Azure infrastructure. - Craft precise and effective prompts to guide AI models and improve their outputs. - Monitor and analyze Azure AI costs to ensure efficient resource utilization. - Develop and integrate custom tools within AI agents to extend their capabilities. - Demonstrate strong expertise in Azure AI Foundry and prompt engineering for building declarative and multi-modal agents. - Integrate AI-powered features into full-stack web applications to improve user experience and efficiency. - Collaborate with data scientists and machine learning engineers to deploy AI models into production. - Stay up-to-date with the latest advancements in .NET Core, Azure, and AI technologies. - Adhere to best practices for software development, including code reviews, unit testing, and continuous integration/continuous delivery (CI/CD) and MLOps. Required Skills and Experience: - Overall 4+ years of experience in Azure, .NET Core, Python, and M365 suite of products. - Min 2 years of experience in developing Generative AI applications using Azure OpenAI. - Proficiency in languages like C#, Python, JavaScript, and TypeScript. - Strong proficiency in Microsoft Azure, including Azure Functions, Azure App Service, Azure SQL Database, Azure Cosmos DB, and Azure AI Studio. - Hands-on experience with generative AI technologies, such as OpenAI and Large Language Models (LLMs). - Proficiency in prompt engineering and fine-tuning AI models and developing applications for RAG applications. - Experience of front-end technologies like HTML, CSS, and JavaScript (React or Angular) for full-stack web application development. - Understanding of CI/CD pipelines and DevOps practices. - Strong problem-solving, analytical, and communication skills. - Ability to work independently and as part of a team. Desired Skills: - Knowledge of Low-code technologies like Logic Apps, Microsoft Power Platform (Power Apps, Power Automate) is good to have. - Understanding of cloud-native development principles and microservices architecture. - Experience with containerization technologies like Docker and Kubernetes. - Understanding of security best practices for cloud applications. To qualify for the role, you must have: - A bachelor's or master's degree. - A minimum of 4+ years of experience, preferably a background in a professional services firm. - Strong knowledge with M365 Suite of products. - Excellent communication skills with consulting experience preferred. Ideally, you'll also have: - Analytical ability to manage multiple projects and prioritize tasks into manageable work products. - Can operate independently or with minimum supervision. What Working At EY Offers: At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around. - Opportunities to develop new skills and progress your career. - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a Better Working World: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We create intelligent, user-first digital products that redefine industries through the power of AI and engineering excellence. We are looking for a Senior Software Engineer-AI with 4-6 years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment, fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. As a Senior Software Engineer-AI at Techvantage.ai, you will be responsible for building and deploying AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). You will design and implement Agentic AI systemsautonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-endfrom research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. In order to excel in this role, we are seeking candidates with 3-6 years of overall software development experience, with at least 3 years specifically in AI/ML engineering. Strong proficiency in Python is required, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio) is highly desirable. Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel) is a plus. Experience building and deploying ML models to production environments is essential. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts is beneficial. Comfortable working in a startup-like environment is crucialself-motivated, adaptable, and willing to take ownership. A solid understanding of API development, version control, and modern DevOps/MLOps practices is expected from the ideal candidate.,

Independently design, develop, and implement machine learning and NLP models. Build and fine-tune LLM-based solutions (prompt engineering, few-shot prompting, chain of thought prompting). Develop robust, production-quality code for AI/ML applications using Python. Build, deploy, and monitor models using AWS services (SageMaker, Bedrock, Lambda, etc.). Conduct data cleaning, feature engineering, and model evaluation on large datasets. Experiment with new GenAI tools, LLM architectures, and APIs (HuggingFace, LangChain, OpenAI, etc.). Collaborate with senior data scientists for reviews but own end-to-end solutioning tasks. Document models, pipelines, experiments, and results clearly and systematically. Stay updated with the latest in AI/ML, GenAI, and cloud technologies.