696 Langchain Jobs - Page 22

* If you are 5+ years experienced and Immediate joiner , please apply: https://docs.google.com/forms/d/e/1FAIpQLScorR1zEgu9FvDHO-4gjJEOPhk_2tJE6cgftARiy9rwcVcDHg/viewform 5+ years of experience as a backend or full-stack engineer with a strong backend focus Advanced proficiency in Python Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar) Background in machine learning engineering is a strong plus Solid understanding of service architecture and production deployment workflows Hands-on LLM integration in production (not academic/chatbot-only experience) Expertise in designing production-grade APIs and backend services Strong knowledge of async workflows, deployment, observability, and performance *This is a software engineering role (not data science, analytics, or annotation)* Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply.Must possess strong communication skills , both written and verbal.Should have proven expertise in the specific field or role being applied for. Interview Pattern: Screening Interview - 30 min on google meet Second Interview - 60 min Final Client Interview - 30 min Govt Id should be shown in all interviews and camera is a must. Timings: 8 hrs/day, Mon-Fri Salary will be competitive above the market standards and will be calculated on hourly basis. Role & responsibilities Preferred candidate profile : Immediate Joiners

Experience Experience : Fresher only , no prior industry experience required Academic/Internship/Project work in AI must be showcased Educational & Skill Requirements Bachelors degree in Computer Science, Information Technology, Data Science, AI/ML , or related field Strong foundational knowledge of Artificial Intelligence, Machine Learning , and Deep Learning Hands-on experience in at least one academic or personal project related to AI (e.g., image recognition, NLP chatbot, recommendation systems, etc.) Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, or Hugging Face Exposure to data handling using Pandas, NumPy, etc. Knowledge of LangChain is required

What you'll do Greetings from Data Security Council of India...!! The Data Security Council of India (DSCI) is a not-for-profit, industry body for data protection in India, setup by nasscom committed to making cyberspace safe, secure, and trustworthy by establishing cybersecurity best practices, standards, and initiatives in cyber security and privacy. DSCI engages with governments, regulators, industry sectors, and think tanks on policy advocacy, thought leadership, capacity building, and outreach initiatives. For more information, visit: www.dsci.in. We are seeking a dynamic and technically proficient AI/ML Engineer to support our AI/ML R&D initiatives in cybersecurity and take ownership of TechSagar.in a knowledge repository for India's emerging technology capabilities. The ideal candidate will possess hands-on experience in generative AI, emerging technologies, and product management. This is a hybrid role combining deep technical development with stakeholder engagement and platform evangelism. Role & responsibilities : AI/ML & Cybersecurity Innovation Support R&D efforts to prototype generative AI models for real-time threat detection and cybersecurity. Design, develop, and deploy machine learning models tailored to cyber threat intelligence and anomaly detection. Research and implement novel AI approaches, including multi-agent and reasoning-based systems. Develop distributed security monitoring frameworks using tools like AutoGen , CrewAI , etc. Build LLM-powered threat analysis tools using LangChain , LlamaIndex , and integrate with enterprise infrastructure. Apply MLOps best practices for model deployment, performance monitoring, and continuous integration. Optimize vector stores (Qdrant, FAISS, Pinecone, etc.) for RAG-based systems. Create synthetic datasets for AI training and model evaluation. Use Pydantic for data validation within AI pipelines. TechSagar Product Responsibilities Manage and evolve the TechSagar.in platformenhancing features, ensuring data integrity, and driving usage. Liaise with tech partners, government bodies, startups, and academia to enrich platform content. Strategize and execute industry engagement plans to market TechSagar and establish its relevance. Represent TechSagar in external forums, conferences, and industry meetings. Collect user feedback, define product roadmap, and ensure alignment with AI/ML advancements. Required Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. 12 years of hands-on experience in AI/ML model development and deployment. Strong programming expertise in Python . Familiarity with LangChain , LlamaIndex , and large language models (LLMs). Experience in applying AI to cybersecurity or vulnerability analysis. Good understanding of machine learning algorithms, data pipelines, and model evaluation. Excellent communication skills for technical and stakeholder engagement Preferred Skills: Exposure to generative AI , LLMs, and chain-of-thought reasoning techniques. Working knowledge of MLOps tools such as MLflow , Docker , etc. Familiarity with FastAPI or Flask for API development. Ability to preprocess, clean, and analyze large datasets efficiently. Experience in integrating AI tools with legacy or existing security systems. Technologies & Frameworks: LLM Frameworks: LangChain, LlamaIndex Multi-agent Systems: AutoGen, CrewAI Vector Databases: FAISS, Pinecone, Qdrant, Elasticsearch, AstraDB MLOps Tools: MLflow, Docker Programming & APIs: Python, FastAPI/Flask Data Validation: Pydantic Why Join Us? Be at the forefront of AI innovation in cybersecurity and national technology initiatives. Lead and shape a strategic tech product (TechSagar) with national impact. Collaborate with thought leaders in the AI, cybersecurity, and emerging tech ecosystem.

Are you passionate about building cutting-edge AI applications that make real-world impact? We're looking for a skilled AI Engineer to join our team at a fast-growing SaaS-based company in Pune. Who Were Looking For: An experienced AI Engineer with 5+ years of hands-on experience in developing and deploying AI/ML solutions using the Python stack, with deep knowledge of modern AI/ML frameworks and agentic technologies like LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, OpenAI APIs, and more. Educational Background: B.Tech/M.Tech in Computer Science from Tier 1 institutions only (IITs, NITs, IIITs, BITS Pilani) Key Responsibilities: Develop and deploy scalable, AI-powered applications using Python Build intelligent systems using advanced frameworks (LangChain, Hugging Face, PyTorch, TensorFlow, etc.) Create robust APIs for integrating AI into web and cloud applications Apply MLOps for streamlining model deployment, CI/CD, and monitoring Collaborate with cross-functional teams to align AI capabilities with business needs Manage deployments on AWS, Azure, or GCP, ensuring high performance and security Troubleshoot production issues and deliver timely resolutions Continuously explore and experiment with emerging AI technologies. Tech Stack & Skills: Python, REST APIs, AI/ML agentic frameworks PyTorch, TensorFlow, Hugging Face, OpenAI APIs Cloud: AWS, GCP, or Azure | Docker, Kubernetes MLOps, CI/CD, Git, automation frameworks Strong grasp of data processing and machine learning fundamentals. Soft Skills: Curious, self-driven, and collaborative mindset Passion for innovation in AI/ML Excellent problem-solving and communication skills. Location: Pune Mode: Full-time, 5-day Work from Office Client: Leading SaaS-based product company

AI & Machine Learning Development: Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models. Implement LLMs, NLP, reinforcement learning (RL), and computer vision (CV) models. Optimize retrieval-augmented generation (RAG) systems with vector databases (FAISS, Pinecone, Chroma). Work on multimodal AI systems integrating text, image, and audio processing. Agentic AI Systems Development: Build autonomous AI agents that can make decisions, learn from feedback, and interact with environments. Implement multi-agent frameworks using LangChain, CrewAI, AutoGen, BabyAGI, MetaGPT. Integrate AI agents with APIs, databases, and enterprise applications for real-world deployment. Software Engineering & MLOps: Design and deploy AI models using Docker, Kubernetes, and CI/CD pipelines. Implement MLOps workflows for continuous training, monitoring, and model retraining. Optimize AI solutions for cloud platforms (AWS, Azure, GCP) and edge computing. AI Governance & Security: Implement AI safety measures, including adversarial defense and bias mitigation. Ensure compliance with AI regulations (GDPR, HIPAA, SOC 2) and ethical AI principles. Secure AI agents against prompt injection, model poisoning, and adversarial attacks. Technical Skills: Strong programming skills in Python, Java, or R. Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience with LLMs & NLP (Hugging Face, OpenAI API, BERT, GPT, Claude). Proficiency in multi-agent frameworks (LangChain, CrewAI, AutoGen). Knowledge of reinforcement learning (PPO, A3C, DDPG, SAC). Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs. Strong foundation in MLOps, cloud AI services (AWS, Azure AI, Google Vertex AI). Soft Skills: Strong analytical and problem-solving skills. Ability to work in a fast-paced, cross-functional team. Excellent communication and documentation skills. Preferred Qualifications: Master s. in Computer Science, AI, or Data Science. Certifications in AI/ML (AWS ML Specialist, Google ML Engineer, Microsoft AI Engineer). Experience with autonomous systems, robotics, or digital twins.

AI & Machine Learning Development: Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models. Implement LLMs, NLP, reinforcement learning (RL), and computer vision (CV) models. Optimize retrieval-augmented generation (RAG) systems with vector databases (FAISS, Pinecone, Chroma). Work on multimodal AI systems integrating text, image, and audio processing. Agentic AI Systems Development: Build autonomous AI agents that can make decisions, learn from feedback, and interact with environments. Implement multi-agent frameworks using LangChain, CrewAI, AutoGen, BabyAGI, MetaGPT. Integrate AI agents with APIs, databases, and enterprise applications for real-world deployment. Software Engineering & MLOps: Design and deploy AI models using Docker, Kubernetes, and CI/CD pipelines. Implement MLOps workflows for continuous training, monitoring, and model retraining. Optimize AI solutions for cloud platforms (AWS, Azure, GCP) and edge computing. AI Governance & Security: Implement AI safety measures, including adversarial defense and bias mitigation. Ensure compliance with AI regulations (GDPR, HIPAA, SOC 2) and ethical AI principles. Secure AI agents against prompt injection, model poisoning, and adversarial attacks. Technical Skills: Strong programming skills in Python, Java, or R. Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience with LLMs & NLP (Hugging Face, OpenAI API, BERT, GPT, Claude). Proficiency in multi-agent frameworks (LangChain, CrewAI, AutoGen). Knowledge of reinforcement learning (PPO, A3C, DDPG, SAC). Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs. Strong foundation in MLOps, cloud AI services (AWS, Azure AI, Google Vertex AI). Soft Skills: Strong analytical and problem-solving skills. Ability to work in a fast-paced, cross-functional team. Excellent communication and documentation skills. Preferred Qualifications: Master s. in Computer Science, AI, or Data Science. Certifications in AI/ML (AWS ML Specialist, Google ML Engineer, Microsoft AI Engineer). Experience with autonomous systems, robotics, or digital twins.

About the job: Key responsibilities: 1. AI Model Development & Integration: Design, implement, and optimize generative AI solutions using various LLMs and foundation models, making strategic decisions on model selection based on use case requirements 2. Advanced Prompt Engineering: Craft sophisticated system prompts and implement complex prompting techniques for optimal model performance across different domains and applications 3. Production AI Applications: Build scalable, production-ready AI applications using LangChain, LangGraph, and Mem0 frameworks with proper error handling and performance optimization 4. Complex Context Management: Develop and maintain advanced conversation flows with persistent context across multi-turn interactions, implementing memory systems and session management 5. Infrastructure & Orchestration: Deploy AI applications using Docker containerization and orchestration platforms, ensuring scalability and reliability in production environments 6. AI Safety & Guardrails: Implement comprehensive guardrails including content filtering, bias detection, response validation, and safety measures for responsible AI deployment 7. System Architecture: Design and implement robust AI system architectures, including API development, database integration, and microservices patterns 8. Performance Optimization: Monitor, debug, and optimize AI system performance, latency, cost efficiency, and resource utilization 9. Model Fine-tuning & Customization: Work on model adaptation, fine-tuning, and customization techniques to meet specific business requirements Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 2,50,000 - 3,00,000 /year Experience: 1 year(s) Deadline: 2025-07-16 23:59:59 Skills required: Python, Docker, Database Management System (DBMS), APIs, Generative AI Development, LangChain, Prompt Engineering and Memcached Other Requirements: Technical Skills: 1. Advanced Python: Solid foundation in Python. 2. Multi-Model Expertise: Deep hands-on experience with various LLMs (GPT-4, Claude, Llama, Gemini, Mistral) and comprehensive understanding of their capabilities, limitations, and optimal use cases 3. Framework Mastery: Proven experience building production applications with LangChain, LangGraph, and Mem0 frameworks 4. Advanced Prompt Engineering: Expert-level ability to write, optimize, and debug complex system prompts and conversation flows 5. Docker & Orchestration: Strong containerization skills with experience in Docker, or similar orchestration platforms. 6. Production AI Systems: Experience deploying and maintaining AI applications in production environments Professional Experience: 1. GenAI Development: Hands-on experience in generative AI application development 2. Context Management: Proven track record of implementing complex conversation flows and memory systems 3. Guardrails Implementation: Experience implementing AI safety measures, content filtering, and bias detection systems 4. System Architecture: Experience designing scalable AI system architectures and microservices Project Portfolio: 1. Demonstrable GenAI projects with real-world applications 2. Experience with model fine-tuning, RAG systems, or AI agent development 3. Open source contributions or published work in AI/ML domain 4. Production deployments of AI applications with measurable impact About Company: At HD, we're a diverse team of passionate experts offering comprehensive digital solutions. Our commitment to authenticity, innovation, and user-friendliness ensures success in web development, AI/ML, data analytics, backend, and database management. Through collaboration and transparency, we transform visions into exceptional digital realities, empowering clients to succeed. Explore our talented team, insightful blog, and impressive portfolio, and start your exceptional digital journey with us today.

Req ID: 328628 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Full Stack Developers to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Title: Full Stack Developer Location: Bangalore (Hybrid) Experience: 3-5 years Job Summary: We are seeking a dynamic and skilled Full Stack Developer with hands-on experience in .NET , ReactJS , and Python (LangChain & FastAPI) . This role involves building robust, scalable, and intelligent web applications that integrate modern AI capabilities and cloud-native technologies. Key Responsibilities: Develop and maintain full-stack applications using .NET for backend and ReactJS for frontend. Build and integrate APIs and microservices using Python , particularly with LangChain and FastAPI . Collaborate with data scientists and DevOps teams to deploy intelligent features and services. Ensure high performance, responsiveness, and scalability of applications. Participate in code reviews, testing, and debugging. Contribute to architectural decisions and best practices in software development. Work in an Agile environment and deliver high-quality software on time. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 3-5 years of experience in full-stack development. Proficiency in .NET (C#) for backend development. Strong experience with ReactJS for building modern web interfaces. Solid understanding of Python , especially LangChain and FastAPI . Familiarity with RESTful APIs, microservices architecture, and CI/CD pipelines. Good problem-solving and communication skills. Preferred Qualifications: Experience with cloud platforms like Azure , AWS , or GCP . Exposure to containerization tools like Docker and orchestration with Kubernetes . Understanding of AI/ML concepts and integration. Familiarity with Agile/Scrum methodologies. What We Offer: Competitive salary and benefits. Flexible hybrid work environment. Opportunities to work on cutting-edge technologies. A collaborative and growth-oriented team culture. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure. Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL). Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions. Required Skills & Experience 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems . Strong proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs. Experience developing AI-driven backends and services with a strong understanding of scalability and performance. Familiarity with vector search technologies, database integration, and cloud-native architectures. Excellent communication and collaboration skills; ability to work effectively in a team environment. Education B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field. Role: Gen AI Engineer Designation: AI Developer Experience: 2-5 Years (AI/ML, NLP, Generative AI): Location: Pune

Req ID: 328627 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Full Stack Developers to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Title: Full Stack Developer Location: Bangalore (Hybrid) Experience: 3-5 years Job Summary: We are seeking a dynamic and skilled Full Stack Developer with hands-on experience in .NET , ReactJS , and Python (LangChain & FastAPI) . This role involves building robust, scalable, and intelligent web applications that integrate modern AI capabilities and cloud-native technologies. Key Responsibilities: Develop and maintain full-stack applications using .NET for backend and ReactJS for frontend. Build and integrate APIs and microservices using Python , particularly with LangChain and FastAPI . Collaborate with data scientists and DevOps teams to deploy intelligent features and services. Ensure high performance, responsiveness, and scalability of applications. Participate in code reviews, testing, and debugging. Contribute to architectural decisions and best practices in software development. Work in an Agile environment and deliver high-quality software on time. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 3-5 years of experience in full-stack development. Proficiency in .NET (C#) for backend development. Strong experience with ReactJS for building modern web interfaces. Solid understanding of Python , especially LangChain and FastAPI . Familiarity with RESTful APIs, microservices architecture, and CI/CD pipelines. Good problem-solving and communication skills. Preferred Qualifications: Experience with cloud platforms like Azure , AWS , or GCP . Exposure to containerization tools like Docker and orchestration with Kubernetes . Understanding of AI/ML concepts and integration. Familiarity with Agile/Scrum methodologies. What We Offer: Competitive salary and benefits. Flexible hybrid work environment. Opportunities to work on cutting-edge technologies. A collaborative and growth-oriented team culture. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

About the job: As a Full Stack GenAI Developer at MeetMinutes, you will be responsible for creating cutting-edge AI solutions using Python, Generative AI Development, LangChain, LLM evaluation, LLMOps, JavaScript, React, Amazon Web Services (AWS), Google Cloud Platforms (GCP), Docker, Machine Learning, Natural Language Processing (NLP), PostgreSQL, REST API, FastAPI, GitHub, System Design, and Prompt Engineering. Key responsibilities: 1. Developing and implementing AI algorithms and models to enhance the functionality of our platform. 2. Integrating AI technologies and features into our existing systems to improve user experience. 3. Collaborating with the engineering team to optimize system performance and scalability. 4. Building and maintaining RESTful APIs for seamless communication between different components. 5. Monitoring and troubleshooting any issues related to AI functionality and recommending solutions. 6. Contributing to the overall architecture and design of our AI-driven products. 7. Staying updated on the latest trends and advancements in AI and actively participating in knowledge sharing within the team. If you are passionate about using AI to revolutionize meeting productivity and collaboration, and have a strong background in full-stack development and AI technologies, we'd love to have you join our team! Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 6,50,000 /year Experience: 1 year(s) Deadline: 2025-07-13 23:59:59 Other perks: 5 days a week Skills required: JavaScript, Python, Machine Learning, PostgreSQL, Docker, GitHub, React, REST API, Amazon Web Services (AWS), Natural Language Processing (NLP), Google Cloud Platforms (GCP), FastAPI, Generative AI Development, LangChain, Prompt Engineering, System Design, LLMOps and LLM evaluation About Company: A platform for the future of AI meeting productivity. It is a tool for professionals having conversations in mixed Indian languages and need workflow automations. It has support for Google Meet, MS Teams, and many more meeting platforms. It is a startup recognized by the Ministry of IT and won several accolades working with businesses, IT firms, agencies, listed companies, and SMBs.

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.

Data Scientist Responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Required Skills & Qualifications Education: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field analyticsvidhya.com (or equivalent practical experience). A strong foundation in algorithms, statistics, and software engineering is expected. Programming proficiency: Expert-level skills in Python coursera.org , with hands-on experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) analyticsvidhya.com . Comfortable writing production-quality code and using version control, testing, and code review workflows. Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models analyticsvidhya.com . Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) analyticsvidhya.comanalyticsvidhya.com . Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms gyliu513.medium.com . Knowledge of agent communication standards (e.g., MCP/Agent Protocol) gyliu513.medium.comblog.langchain.dev to enable interoperability between AI agents. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. Proficiency in retrieval-augmented generation (RAG) setups, vector databases, and prompt engineering analyticsvidhya.com . Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) for managing end-to-end automation and scalable workflows analyticsvidhya.com . Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices. Soft skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills to collaborate across data, engineering, and business teams. Attention to detail and a quality-oriented mindset. (See Ideal Candidate below for more on personal attributes.) Ideal Candidate: Innovative, problem-solver: You are a creative thinker who enjoys tackling open-ended challenges. You have a solutions-oriented mindset and proactively experiment with new ideas and techniques analyticsvidhya.com . Systems thinker: You understand how different components (data, models, services) fit together in a large system. You can architect end-to-end AI solutions with attention to reliability, scalability, and integration points. Collaborative communicator: You work effectively in multidisciplinary teams. You are able to explain complex technical concepts to non-technical stakeholders and incorporate feedback. You value knowledge sharing and mentorship. Adaptable learner: The generative AI landscape evolves rapidly. You are passionate about staying current with the latest research and tools. You embrace continuous learning and are eager to upskill and try new libraries or platforms analyticsvidhya.com . Ethical and conscientious: You care about the real-world impact of AI systems. You take responsibility for the quality and fairness of models, and proactively address concerns like data privacy, bias, and security.

ONLY 30 DAYS JOINERS Hello I hope you're doing well. We are currently hiring for an exciting opportunity with one of our top clients in the field of Generative AI . Based on your background, I believe this role could be a strong match for your expertise. Role Highlights: Location: Bangalore/Chennai/Kolkata/Pune/Hyderabad Experience Required: 11 -16 Years Notice Period: Maximum 30 Days CTC: As per market standards Mandatory Skills: Gen AI, LLM, ML/DL/NLP, RAG, LangChain, Mistral, Llama, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DB Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (Kubeflow/Mlflow), Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Key Responsibilities: Develop and implement advanced Generative AI models. Apply ML/DL algorithms for real-world applications across NLP and vision domains. Collaborate on data preprocessing, model training, and deployment. Drive innovation by staying current with industry trends and R&D in Gen AI. Ensure responsible AI practices and performance monitoring post-deployment. Mentor junior members and lead AI-driven project initiatives. If you're interested or know someone who fits this role, please share your updated resume and current CTC/Notice Period details. WhatsApp: 987153039 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Role & responsibilities 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 Preferred candidate profile 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 Qualifications 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

We are seeking a highly experienced and technically adept Lead AI/ML Engineer to spearhead the development and deployment of cutting-edge AI solutions, with a focus on Generative AI and Natural Language Processing (NLP). The ideal candidate will be responsible for leading a high-performing team, architecting scalable ML systems, and driving innovation across AI/ML projects using modern toolchains and cloud-native technologies. Key Responsibilities Team Leadership: Lead, mentor, and manage a team of data scientists and ML engineers; drive technical excellence and foster a culture of innovation. AI/ML Solution Development: Design and deploy end-to-end machine learning and AI solutions, including Generative AI and NLP applications. Conversational AI: Build LLM-based chatbots and document intelligence tools using frameworks like LangChain , Azure OpenAI , and Hugging Face . MLOps Execution: Implement and manage the full ML lifecycle using tools such as MLFlow , DVC , and Kubeflow to ensure reproducibility, scalability, and efficient CI/CD of ML models. Cross-functional Collaboration: Partner with business and engineering stakeholders to translate requirements into impactful AI solutions. Visualization & Insights: Develop interactive dashboards and data visualizations using Streamlit , Tableau , or Power BI for presenting model results and insights. Project Management: Own delivery of projects with clear milestones, timelines, and communication of progress and risks to stakeholders. Required Skills & Qualifications Languages & Frameworks: Proficient in Python and frameworks like TensorFlow , PyTorch , Keras , FastAPI , Django NLP & Generative AI: Hands-on experience with BERT , LLaMA , Spacy , LangChain , Hugging Face , and other LLM-based technologies MLOps Tools: Experience with MLFlow , Kubeflow , DVC , ClearML for managing ML pipelines and experiment tracking Visualization: Strong in building visualizations and apps using Power BI , Tableau , Streamlit Cloud & DevOps: Expertise with Azure ML , Azure OpenAI , Docker , Jenkins , GitHub Actions Databases & Data Engineering: Proficient with SQL/NoSQL databases and handling large-scale datasets efficiently Preferred Qualifications Masters or PhD in Computer Science, AI/ML, Data Science, or related field Experience working in agile product development environments Strong communication and presentation skills with technical and non-technical stakeholders

Greetings of the Day !! We have job opening for UiPath Developer with one of our clients . if you are interested for this position please share update resume . Location : Bangalore/ Pune/Hyderabad/ Indore Job Title: Tech Lead Intelligent Automation (UiPath + LLM Integration) Job Summary We are looking for a Tech Lead with deep expertise in UiPath as the primary automation platform and a strong background in integrating Large Language Models (LLMs) to enhance intelligent automation capabilities. This role involves leading solution design, architecture, and implementation of enterprise-grade automation systems that combine RPA with AI/LLM features such as document understanding, translation, and conversational automation. As a Tech Lead, you will mentor teams, define best practices, and drive innovation using UiPath and LLM technologies across the automation landscape. Key Responsibilities Lead architecture, design, and delivery of UiPath automation solutions integrated with LLMs to solve complex business challenges. Work closely with stakeholders to identify automation opportunities and define technical strategies using UiPath, AI Center, Document Understanding, and LLM APIs. Drive the integration of LLMs (e.g., OpenAI, Azure OpenAI, Google Gemini) into UiPath workflows for intelligent tasks such as summarization, classification, translation, and Q&A. Define reusable frameworks, standards, and best practices for LLM-augmented UiPath solutions. Guide development teams in building scalable and secure automation solutions using orchestrator, REFramework, and custom components. Own code reviews, solution documentation, and ensure delivery meets performance, security, and quality benchmarks. Provide technical leadership, mentorship, and training to UiPath developers and LLM engineers. Stay ahead of automation and AI trends, and proactively propose innovations aligned with business goals. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Engineering, or related discipline. 7+ years of experience in automation , with at least 5 years of hands-on UiPath experience including enterprise-grade solution delivery. Strong experience with UiPath Orchestrator, AI Center, Document Understanding , and REFramework. Hands-on experience in integrating LLMs into UiPath workflows using REST APIs, Python components, or custom activities. Deep understanding of prompt engineering, chunking, embeddings, and LLM-based document processing strategies. Proficiency in Python and API integration for external AI/LLM systems. Solid understanding of cloud AI services (Azure AI, Vertex AI, AWS AI) and vector databases (FAISS, Pinecone, Weaviate). Excellent communication, stakeholder management, and team leadership skills. Proven experience in mentoring teams, driving automation strategy, and ensuring solution scalability and maintainability. Preferred Skills (Nice to Have) UiPath Solution Architect or Advanced RPA Developer certification . Experience with LangChain , RAG pipelines, and LLM deployment at scale. Exposure to Power Platform, Microsoft Copilot Studio, or similar AI-enhanced low-code environments. Familiarity with DevOps practices in automation environments (CI/CD, version control, etc.). Knowledge of enterprise security, compliance, and governance in RPA + AI solutions. Thanks, Shaswati

About the Role As a Data Science Engineer, you will need strong technical skills in data modeling, machine learning, data engineering, and software development. You will have the ability to conduct literature reviews and critically evaluate research papers to identify applicable techniques. Additionally, you should be able to design and implement efficient and scalable data processing pipelines, perform exploratory data analysis, and collaborate with other teams to integrate data science models into production systems. Passion for conversational AI and a desire to solve some of the most complex problems in the Natural Language Processing space are essential. You will work on highly scalable, stable, and automated deployments, aiming for high performance. Taking on the challenge of building and scaling a truly remarkable AI platform to impact the lives of millions of customers will be part of your responsibilities. Working in a challenging yet enjoyable environment, where learning new things is the norm, you should think of solutions beyond boundaries. You should also drive outcomes with full ownership, deeply believe in customer obsession, and thrive in a fast-paced environment of learning and innovation. You will work in a challenging, consumer-facing problem space, where you can make an immediate impact. You will get to work with the latest technologies, learn to use new tools and get the opportunity to have your say in the final product. Youll work alongside a great team in an open, collaborative environment. We are part of Vimo, a well-funded, stable mid-size company with excellent salaries, medical/dental/vision coverage, and perks. Vimo is an Equal Opportunity Employer. Data Science Engineer Responsibilities: Build and maintain robust data pipelines to process data from varied sources like databases, APIs, and file systems. Harness data science tools and techniques to develop proof of concepts, evolving solutions through adept prompt engineering and fine-tuning of models like GPT. Conduct comprehensive literature reviews and critically evaluate research papers to identify innovative techniques, focusing on the latest advancements in LLM/Generative AI. Create and manage JSON APIs to expose data, machine learning services, and AI models to other systems and applications. Ensure data accuracy, completeness, and reliability through stringent quality control measures and data validation techniques. Optimize existing language models for generative AI tasks, focusing on enhancing their application across various platforms. Work in tandem with product teams to seamlessly integrate cutting-edge AI technologies, upholding the highest quality standards in product execution. Fine-tune and deploy LLMs, ensuring they are meticulously adjusted and ready for release. Engage in ongoing research and application of new methodologies to bolster the efficiency and output quality of our LLM operations. Design and develop LLMs dedicated to a range of content generation tasks, pushing the boundaries of AI's creative capabilities. Keep up to date of the latest trends and breakthroughs in NLP and large language model technology, incorporating novel approaches to refine our models. Lead experiments and analyses to fine-tune model designs and hyperparameters, ensuring superior model performance with continuous monitoring using KPIs and metrics. Demonstrate strong analytical and troubleshooting skills; and someone who enjoys owning and solving problems end-to-end. Excellent communication skills. Comfortable interacting with remote teams in multiple offices that practice agile methodologies. Requirements & Qualifications: Bachelors or masters degree in computer science, Engineering, Mathematics, Statistics, or a related field. Minimum of 2 years of experience in NLP oriented data engineering or data science roles with a significant emphasis on working with LLM/Generative AI models. Robust understanding of NLP concepts, with hands-on experience in conversational AI and expertise in natural language understanding and generation. Proficiency in Python programming and familiarity with libraries and frameworks such as Pandas, NumPy, Scikit-learn, Tensor flow, transformers, PyTorch, and Keras. Solid experience in building, maintaining, and fine-tuning large language models, with a keen understanding of prompt engineering techniques. Strong grasp of data architecture, database design, data modeling principles, and the integration of AI models into scalable systems. Experience with JSON APIs and building RESTful & GRPC web services. Excellent analytical and problem-solving skills, capable of working independently and collaboratively in a team-oriented environment. Showcase proven expertise in working with deep learning frameworks and LLMs, with a strong foundation in prompt engineering, tokenization, embeddings, model optimization, and deployment strategies. Demonstrate previous involvement in creating user-centric products leveraging ML/AI technologies, with a good understanding of predictive modeling, meta-learning, and transfer learning. Excellent problem-solving and communication skills BS degree in Information Technology, Computer Science, or relevant field Additional Experience We Would Love to Have Experience with cloud technologies such as AWS is a plus. Background in design and development of Technology for Government Health and Human Services Experience with design and development of SaaS solutions.

Responsibilities AI-Powered Software Development & API Integration Develop AI-driven applications, microservices, and automation workflows using FastAPI, Flask, or Django, ensuring cloud-native deployment and performance optimization. Integrate OpenAI APIs (GPT models, Embeddings, Function Calling) and Retrieval-Augmented Generation (RAG) techniques to enhance AI-powered document retrieval, classification, and decision-making. Data Engineering & AI Model Performance Optimization Design, build, and optimize scalable data pipelines for AI/ML workflows using Pandas, PySpark, and Dask, integrating data sources such as Kafka, AWS S3, Azure Data Lake, and Snowflake. Enhance AI model inference efficiency by implementing vector retrieval using FAISS, Pinecone, or ChromaDB, and optimize API latency with tuning techniques (temperature, top-k sampling, max tokens settings). Microservices, APIs & Security Develop scalable RESTful APIs for AI models and data services, ensuring integration with internal and external systems while securing API endpoints using OAuth, JWT, and API Key Authentication. Implement AI-powered logging, observability, and monitoring to track data pipelines, model drift, and inference accuracy, ensuring compliance with AI governance and security best practices. AI & Data Engineering Collaboration Work with AI/ML, Data Engineering, and DevOps teams to optimize AI model deployments, data pipelines, and real-time/batch processing for AI-driven solutions. Engage in Agile ceremonies, backlog refinement, and collaborative problem-solving to scale AI-powered workflows in areas like fraud detection, claims processing, and intelligent automation. Cross-Functional Coordination and Communication Collaborate with Product, UX, and Compliance teams to align AI-powered features with user needs, security policies, and regulatory frameworks (HIPAA, GDPR, SOC2). Ensure seamless integration of structured and unstructured data sources (SQL, NoSQL, vector databases) to improve AI model accuracy and retrieval efficiency. Mentorship & Knowledge Sharing Mentor junior engineers on AI model integration, API development, and scalable data engineering best practices, and conduct knowledge-sharing sessions. Education & Experience Required 12-18 years of experience in software engineering or AI/ML development, preferably in AI-driven solutions. Hands-on experience with Agile development, SDLC, CI/CD pipelines, and AI model deployment lifecycles. Bachelor's Degree or equivalent in Computer Science, Engineering, Data Science, or a related field. Proficiency in full-stack development with expertise in Python (preferred for AI), Java Experience with structured & unstructured data: SQL (PostgreSQL, MySQL, SQL Server) NoSQL (OpenSearch, Redis, Elasticsearch) Vector Databases (FAISS, Pinecone, ChromaDB) Cloud & AI Infrastructure: AWS: Lambda, SageMaker, ECS, S3 Azure: Azure OpenAI, ML Studio GenAI Frameworks & Tools: OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, AutoGPT, CrewAI. Experience in LLM deployment, retrieval-augmented generation (RAG), and AI search optimization. Proficiency in AI model evaluation (BLEU, ROUGE, BERT Score, cosine similarity) and responsible AI deployment. Strong problem-solving skills, AI ethics awareness, and the ability to collaborate across AI, DevOps, and data engineering teams. Curiosity and eagerness to explore new AI models, tools, and best practices for scalable GenAI adoption.

Req ID: 328577 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Scientist to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Title: Data Scientist Location: Bangalore (Hybrid) Experience: 5-7 years Job Summary: We are looking for a versatile and innovative Data Scientist with experience in Azure Cloud , .NET , ReactJS , and Python (LangChain & FastAPI) to join our cross-functional team. This role blends data science expertise with full-stack development and cloud deployment, enabling intelligent solutions that scale. Key Responsibilities: Design and implement machine learning models and NLP pipelines using Python, LangChain, and FastAPI. Develop and deploy data-driven applications on Microsoft Azure , leveraging services like Azure ML, Azure Functions, and Azure Data Lake. Collaborate with backend developers using .NET and frontend developers using ReactJS to integrate AI models into scalable web applications. Build APIs and microservices to serve ML models and data insights. Perform data wrangling, feature engineering, and model evaluation. Create dashboards and visualizations to communicate insights to stakeholders. Ensure security, scalability, and performance of deployed solutions in the Azure environment. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Strong experience with Python , especially LangChain , FastAPI , and data science libraries (pandas, scikit-learn, etc.). Proficiency in .NET (C#) for backend development. Experience with ReactJS for building interactive UIs. Hands-on experience with Azure Cloud Services (e.g., Azure ML, Azure Functions, Azure DevOps). Solid understanding of RESTful APIs, microservices, and CI/CD pipelines. Strong problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, vector databases, and prompt engineering. Familiarity with containerization (Docker, Kubernetes). Knowledge of MLOps practices and tools. Exposure to Agile/Scrum methodologies. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Job Summary: We are seeking a passionate and skilled AI Engineer to design, develop, and deploy cutting-edge AI solutions across domains such as large language models (LLMs), computer vision, and autonomous agent workflows. You will collaborate with data scientists, researchers, and engineering teams to build intelligent systems that solve real-world problems using deep learning, transformer-based architectures, and multi-modal AI models. Key Responsibilities: Design and implement AI/ML models, especially transformer-based LLMs (e.g., BERT, GPT, LLaMA) and vision models (e.g., ViT, YOLO, Detectron2). Develop and deploy computer vision pipelines for object detection, segmentation, OCR, and image classification tasks. Build and orchestrate intelligent agent workflows using prompt engineering, memory systems, retrieval-augmented generation (RAG), and multi-agent coordination. Fine-tune and optimize pre-trained models on domain-specific datasets using frameworks like PyTorch or TensorFlow. Collaborate with cross-functional teams to understand problem requirements and translate them into scalable AI solutions. Implement inference pipelines and APIs to serve AI models efficiently using tools such as FastAPI, ONNX, or Triton Inference Server. Conduct model evaluation, benchmarking, A/B testing, and performance tuning. Stay updated with state-of-the-art research in deep learning, generative AI, and multi-modal learning. Ensure reproducibility, versioning, and documentation of all experiments and production models. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 35 years of hands-on experience in designing and deploying deep learning models. Strong knowledge of LLMs (e.g., GPT, BERT, T5), Vision Models (e.g., CNNs, Vision Transformers), and Computer Vision techniques. Experience building intelligent agents or using frameworks like LangChain, Haystack, AutoGPT, or similar. Proficiency in Python, with expertise in libraries such as PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Scikit-learn. Familiarity with MLOps concepts and deployment tools (Docker, Kubernetes, MLflow). Strong understanding of NLP, image processing, model fine-tuning, and optimization. Experience with cloud platforms (AWS, GCP, Azure) and GPU environments. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience in building multi-modal AI systems (e.g., combining vision + language models). Exposure to real-time inference systems and low-latency model deployment. Contributions to open-source AI projects or research publications. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG pipelines. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

Required Qualifications, Capabilities, and Skills: Solid understanding of backend performance optimization and debugging. Formal training or certification on software engineering concepts and proficient applied experience • Strong hands-on experience with Python Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration .Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience.

Job Summary: We are seeking a highly skilled and hands-on AI Engineer with 3+ years of proven experience in building and deploying solutions using Generative AI and Large Language Models (LLMs). You will work on cutting-edge applications leveraging transformer-based architectures, fine-tuning, prompt engineering, and scalable AI deployments. This role is ideal for engineers passionate about AI research and real-world productization of generative AI technologies. Key Responsibilities: Design, develop, and deploy solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude, PaLM, etc.) for various NLP and content generation tasks. Work on fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) pipelines. Integrate LLMs into enterprise applications with APIs and orchestrate workflows using Python, LangChain, or similar frameworks. Optimize model performance, latency, and cost for production use. Collaborate with data scientists, MLOps engineers, and product managers to deliver scalable AI features. Conduct experiments, analyze results, and publish internal findings or contribute to whitepapers. Ensure ethical, secure, and responsible use of AI technologies in all implementations. Required Skills & Experience: 3+ years of hands-on experience working with Generative AI, LLMs, and NLP technologies. Strong programming skills in Python and experience with libraries like Transformers (Hugging Face), LangChain, PyTorch, TensorFlow, etc. Proven track record of fine-tuning LLMs, developing embeddings, and working with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience deploying models on cloud platforms (AWS, Azure, GCP) and using ML pipelines or MLOps tools. Solid understanding of deep learning, NLP architectures, tokenization, and evaluation metrics for generative models. Experience in API development and integration of LLMs into user-facing applications. Preferred Qualifications: Masters or PhD in Computer Science, AI/ML, Data Science, or related field. Experience with OpenAI APIs, Anthropic, Cohere, or open-source LLMs (e.g., Mistral, Falcon, LLaMA 3). Understanding of RLHF (Reinforcement Learning from Human Feedback) and model alignment techniques. Contributions to open-source AI projects or publications in GenAI/LLM.

Seeking AI Engineer to build intelligent, task-driven agents using React & FastAPI. Must blend AI/ML expertise with software skills to create scalable, modular systems for API/UI interaction. Required Candidate profile 1. 2+ yrs in AI dev 2. Strong in FastAPI, React, Python 3. Built LLM-based agent workflows 4. Used vector DB, LangChain, OpenAI 5. Deployed on cloud(Azure, AWS, GCP) 6. Scalable, UI-integrated systems