Overview We are seeking a highly skilled and experienced Azure open AI Archirtect to join our growing team. You will play a key role in designing, developing, and implementing Gen AI solutions across various domains, including chatbots. The ideal candidate for this role will have experience with latest natural language processing, generative AI technologies and the ability to produce diverse content such as text, audio, images, or video. You will be responsible for integrating general-purpose AI models into our systems and ensuring they serve a variety of purposes effectively. Task and Responsibilities: Collaborate with cross-functional teams to design and implement Gen AI solutions that meet business requirements. Developing, training, testing, and validating the AI system to ensure it meets the required standards and performs as intended. Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI Models, Open Source LLMs ( Llama2 , Mistral ,…), and frameworks like Langchain and Pandas . Leverage expertise in Transformer/Neural Network models and Vector/Graph Databases to build robust and scalable AI systems. Integrate AI models into existing systems to enhance their capabilities. Creating data pipelines to ingest, process, and prepare data for analysis and modeling using Azure services, such as Azure AI Document Intelligence , Azure Databricks etc. Integrate speech-to-text functionality using Azure native services to create user-friendly interfaces for chatbots. Deploying and managing Azure services and resources using Azure DevOps or other deployment tools. Monitoring and troubleshooting deployed solutions to ensure optimal performance and reliability. Ensuring compliance with security and regulatory requirements related to AI solutions. Staying up-to-date with the latest Azure AI technologies and industry developments, and sharing knowledge and best practices with the team. Qualifications: Overall 8+ years’ combined experience in IT and recent 5 years as AI engineer. Bachelor's or master's degree in computer science, information technology, or a related field. Experience in designing, developing, and delivering successful GenAI Solutions. Experience with Azure Cloud Platform and Azure AI services such as Azure AI Search, Azure OpenAI , Document Intelligence, Speech, Vision , etc. Experience with Azure infrastructure and solutioning. Familiarity with OpenAI Models, Open Source LLMs, and Gen AI frameworks like Langchain and Pandas . Solid understanding of Transformer/Neural Network architectures and their application in Gen AI. Hands-on experience with Vector/Graph Databases and their use in semantic & vector search. Proficiency in programming languages like Python (essential). Relevant industry certifications, such as Microsoft Certified: Azure AI Engineer, Azure Solution Architect etc. is a plus. Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration skills to work effectively in a team environment. A passion for innovation and a desire to push the boundaries of what's possible with Gen AI.

Skills Job Title: Generative AI Expert Location: Chandigarh, India Experience Required: 3+ Years (LLMs, LangChain, RAG, Vector Databases, Groq) Employment Type: Full-Time Apply Now: Send your resume to hr@cogniter.com About the Role Cogniter Technologies is seeking an experienced Generative AI Expert to lead the development of intelligent applications powered by Large Language Models (LLMs) and advanced NLP architectures. This role involves building scalable AI systems using LangChain , RAG pipelines , and vector databases , with a focus on real-time inference through tools such as Groq . You will be part of a forward-thinking team working on cutting-edge AI solutions including conversational agents, intelligent automation tools, and knowledge-based enterprise platforms. Key Responsibilities Design and implement scalable applications using LLMs like GPT-4, LLaMA, Mistral, or Falcon Develop and fine-tune Retrieval-Augmented Generation (RAG) pipelines for high-context accuracy Build modular AI agents using LangChain or similar frameworks Work with vector databases such as Pinecone and FAISS for semantic search and information retrieval Integrate real-time inference hardware such as Groq or similar accelerators Fine-tune LLMs for specific business domains and use cases Stay updated on advancements in NLP, TTS/STT, and AI performance optimization Collaborate with product, backend, and infrastructure teams to deliver production-grade solutions Required Skills & Experience 3+ years of experience in Generative AI , LLMs, and NLP systems Deep expertise in LangChain , RAG architectures , and vector search technologies Proficiency in Python and/or Node.js for AI pipeline development Experience with fine-tuning and deploying models such as GPT-4, LLaMA, Mistral, or Falcon Strong understanding of NLP , Speech-to-Text (STT) , Text-to-Speech (TTS) , and token optimization Familiarity with APIs and platforms like OpenAI , Hugging Face , or Anthropic Strong analytical thinking and problem-solving abilities Preferred Qualifications Experience with Groq or other real-time inference engines and AI accelerators Understanding of Prompt Engineering , RLHF , or MLOps practices Exposure to Multimodal AI (text, voice, image integration) Why Join Cogniter Technologies? Work on real-world AI products with high-impact use cases Collaborate within a research-driven, agile, and innovative tech environment Access modern infrastructure and evolving AI toolkits Contribute to next-gen intelligent systems and enterprise applications How to Apply Send your resume to hr@cogniter.com Only shortlisted candidates will be contacted. Apply Now

Responsibilities: Collaborate with cross-functional teams on project delivery. Develop machine learning models using Python & TensorFlow. Optimize data pipelines for efficiency & accuracy. Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative Al models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative Al applications. Experience in building and deploying generative Al systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative Al models. Decode the Requirements to functional modules and product features Pipeline building integration and testing following the SDLC process

About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 3+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Nice-to-Have Skills: Experience with multi-modal AI models (text, image, video). Knowledge of MLOps tools (Kubeflow, MLflow, or Vertex AI). Familiarity with prompt engineering and fine-tuning strategies . Why Join Us? Work on cutting-edge AI projects in an innovative and collaborative environment. Opportunities for career growth and learning in the fast-evolving AI space. Competitive compensation, flexible work options, and great team culture.

What youll be doing... In this role as a Sr Engr in the Tech Strategy & Planning team for TSGI-Cloud and Enterprise Architecture team, you'll be managing multiple programs designed to help GTS move towards its strategic objectives. You will be a key contributor in planning and building Data, Platforms and Emerging Technology North star, and ensuring the smooth and successful execution of initiatives by coordinating with cross-functional teams. Your expertise will help us solve complex problems and find unique solutions to optimize the technology landscape of our organization. Your responsibilities include but are not limited to: Technology Road-mapping: Develop and maintain a technology roadmap that aligns with the organization's strategic goals and evolving industry trends. Strategic Planning: Collaborate with leadership to identify opportunities where technology can be a competitive advantage and contribute to the development of the company's overall strategic plan. Innovation and Research: Stay updated on emerging technologies, assess their relevance to the business, and propose innovative solutions. Vendor and Partner Management: Evaluate and manage relationships with technology vendors and partners to ensure they support the organization's strategic objectives. Evaluate the Gen AI tools in partnership with AI&D team Develop scalable prototypes of LLM and NLP Modules and systems which are critical to the companys product lines. Apply state-of-the-art LLM techniques to understand a large amount of unstructured data and translate them to a meaningful and structured data Design, develop and evaluate predictive LLM models that are on par with industry standards & define metrics that measure success and customer value delivery Work closely with process experts to analyze and design solutions based on business requirements. What were looking for... Youre analytical and great at quickly grasping challenging concepts. As a strong written and verbal communicator, you deliver complex messages vividly to technical and business audiences alike. Youre no stranger to a fast-paced environment and tight deadlines, and you adapt to changing priorities and balance multiple projects with ease. You take pride in your work and get a lot of satisfaction from meeting and exceeding the expectations of your customers Youll need to have: Bachelors degree or four or more years of experience. Minimum 6 years of experience in one or more of Data Science, LLM, Gen AI Established experience delivering information management solutions to large numbers of end users Experience in building LLM solutions to business problems across support, sales, digital, chat, voice etc., Familiarity with Gen AI Models (OpenAI, Gemini AI, Vertex.AI, Mistral, LlaMa, etc.,) and finetune based on domain specific needs Experience in text processing, Vector databases and embedding models Experience in NLP, Transformers and Neural Networks Hands-on experience in using Langchain and good exposure to LLMOps Strong independent and creative research skills necessary to keep up with the latest trends in advanced analytics and ML Research, recommend and implement best practices of LLM and NLP systems that can scale Identify new process opportunities, while quickly assessing feasibility Excellent written and verbal communication skills able to effectively communicate technical details to a non-technical audience as well as produce clear and concise written documentation Even better if you have one or more of the following: Familiarity with Graph DB Concepts Familiarity with one or more Data Platforms - CloudEra, Snowflake, DataBricks etc. Experience in one or more Big data and ETL technologies - Informatica, Talend, Teradata, Hadoop etc. Experience in one or more BI platforms - Tableau, Looker, Thoughtspot etc. Masters degree from an accredited college or university preferred.

We are seeking experienced AI Engineer to design, develop & implement intelligent agents to enhance our video intelligence capabilities. Hands-on experience with both closed & open-source LLMs and production-grade agent implementation Required Candidate profile Experience working with LLMs (both closed models like GPT-4, Claude, & open-source models like Llama, Mistral) Production-grade agent implementation using frameworks such as LangChain, CrewAI, n8n

Skills Job Title: Generative AI Expert Location: Chandigarh, India Experience Required: 3+ Years (LLMs, LangChain, RAG, Vector Databases, Groq) Job Type: Full-Time Apply: Send your resume to hr@cogniter.com About the Role Cogniter Technologies is seeking a forward-thinking Generative AI Expert to join our team in Chandigarh. This role is ideal for someone with deep expertise in Large Language Models (LLMs) , Retrieval-Augmented Generation (RAG) , and vector search technologies , who is eager to build production-grade AI systems powering chatbots, intelligent agents, and enterprise solutions. Key Responsibilities Design and deploy scalable systems using LLMs such as GPT-4 , LLaMA , Mistral , and Falcon Develop advanced RAG-based AI agents and chatbots with contextual awareness Build modular AI pipelines leveraging LangChain and related frameworks Integrate and optimize Groq-based systems and vector databases like Pinecone and FAISS Fine-tune language models for domain-specific applications Collaborate cross-functionally to deliver AI-powered products and solutions Stay current with advancements in NLP , Generative AI , and real-time inference technologies Requirements Proven experience with LangChain , RAG architectures , and vector databases Proficient in Python and Node.js with a strong grasp of microservice-based AI systems Hands-on experience fine-tuning and deploying models like GPT-4 , LLaMA , or Mistral Solid knowledge of NLP , Speech-to-Text , Text-to-Speech , and model optimization techniques Familiarity with cloud services and APIs from OpenAI , Hugging Face , or Anthropic Excellent analytical thinking, problem-solving skills, and communication abilities Preferred (Nice to Have) Experience with Groq or other real-time inference accelerators Knowledge of Prompt Engineering , Reinforcement Learning from Human Feedback (RLHF) , or MLOps Exposure to Multimodal AI (integration of text, voice, and image data) Why Join Cogniter Technologies? Work on AI solutions that deliver real-world impact across multiple industries Collaborate with a dynamic, research-focused, and innovative team Gain access to cutting-edge AI infrastructure and development tools Play a key role in shaping next-generation AI technologies Ready to shape the future of Generative AI? Send your resume to: hr@cogniter.com Only shortlisted candidates will be contacted. Apply Now

Skills Position: Generative AI Expert Location: Chandigarh, India Experience: 3+ Years (LLMs, LangChain, RAG, Vector Databases, Groq) Employment Type: Full-Time Apply at: hr@cogniter.com About the Role Cogniter Technologies is on the lookout for a passionate and experienced Generative AI Expert to join our AI/ML team. If you're skilled in working with large language models (LLMs), LangChain, RAG architecture, and vector databases, and you're excited about building cutting-edge AI applications for real-world impact—this role is for you. You’ll be at the forefront of designing and deploying intelligent systems that integrate advanced AI frameworks and real-time inference technologies into scalable solutions. What You’ll Do Architect and develop intelligent AI applications using leading LLMs like GPT-4, LLaMA, Mistral, or Falcon Build and fine-tune Retrieval-Augmented Generation (RAG) pipelines for high-quality contextual outputs Create modular AI agents using LangChain or equivalent orchestration frameworks Implement semantic search and retrieval using vector databases (e.g., Pinecone, FAISS) Work with real-time inference engines such as Groq for performance-driven deployment Fine-tune models for domain-specific use cases and optimize token usage Stay updated with the latest in NLP, STT/TTS, prompt engineering, and AI toolsets Collaborate closely with cross-functional teams to bring AI features into production environments Required Skills Minimum 3 years of hands-on experience in Generative AI, LLMs, and NLP Proficiency with LangChain , RAG pipelines , and vector search systems Strong command over Python and/or Node.js Experience with LLM fine-tuning and deployment (e.g., GPT-4, LLaMA, Falcon) Deep understanding of NLP concepts, token optimization, and STT/TTS processes Familiarity with AI ecosystems like OpenAI, Hugging Face, and Anthropic Strong analytical and debugging abilities Nice to Have Experience with Groq or similar AI accelerators for real-time inference Knowledge of prompt engineering and reinforcement learning with human feedback (RLHF) Understanding of MLOps workflows and model lifecycle management Exposure to multimodal systems integrating text, images, and voice Why Work with Us? Be part of AI projects that deliver real business value Thrive in a collaborative and research-driven environment Access modern infrastructure, tools, and cloud platforms Play a vital role in developing the future of enterprise AI and automation To Apply: Send your updated resume to hr@cogniter.com. Only shortlisted candidates will be contacted. Apply Now

Skills Job Title: Generative AI Expert Location: Chandigarh, India Experience Required: 3+ Years (LLMs, LangChain, RAG, Vector Databases, Groq) Employment Type: Full-Time Application: Send your resume to hr@cogniter.com About the Role Cogniter Technologies is seeking a skilled and forward-thinking Generative AI Expert to join our AI and machine learning team. This role is ideal for professionals with a strong foundation in Large Language Models (LLMs), LangChain, Retrieval-Augmented Generation (RAG), and vector databases. The selected candidate will lead the design and implementation of intelligent systems that leverage cutting-edge technologies for real-time inference and enterprise-grade applications. Key Responsibilities Design and develop scalable AI applications using LLMs such as GPT-4, LLaMA, Mistral, or Falcon Build and optimize RAG pipelines to deliver contextually accurate responses Develop modular AI agents using LangChain or similar frameworks Utilize vector databases such as Pinecone and FAISS for semantic search and data retrieval Integrate real-time inference solutions using Groq or other AI accelerators Fine-tune language models for industry-specific use cases Stay up to date with advancements in NLP, Speech-to-Text (STT), Text-to-Speech (TTS), and token efficiency Collaborate with product managers, backend developers, and infrastructure teams to deploy AI features to production Required Skills and Experience Minimum 3 years of hands-on experience in Generative AI, LLMs, and NLP Strong expertise in LangChain, RAG architecture, and vector search technologies Proficient in Python and/or Node.js for AI application development Experience with fine-tuning and deploying LLMs (e.g., GPT-4, LLaMA, Falcon) Solid understanding of NLP principles, token optimization, and STT/TTS workflows Familiarity with OpenAI, Hugging Face, Anthropic, and similar AI platforms Strong analytical and problem-solving skills Preferred Qualifications Experience with Groq or other real-time inference engines Knowledge of prompt engineering, reinforcement learning with human feedback (RLHF), or MLOps practices Exposure to multimodal AI solutions involving text, voice, and images Why Join Cogniter Technologies Work on impactful, real-world AI products and systems Collaborate in a research-driven and agile technology environment Access modern tools, infrastructure, and resources Contribute to next-generation enterprise AI platforms and automation solutions How to Apply Interested candidates should send their resume to hr@cogniter.com Only shortlisted candidates will be contacted. Apply Now

Skills Job Title: Generative AI Expert Location: Chandigarh, India Experience Required: 3+ Years (LLMs, LangChain, RAG, Vector Databases, Groq) Employment Type: Full-Time Apply Now: Send your resume to hr@cogniter.com About the Role Cogniter Technologies is seeking a Generative AI Expert to help design and implement intelligent, production-grade solutions powered by Large Language Models (LLMs) . If you’re deeply experienced in LangChain , RAG architectures , and vector databases , and excited to work on real-time inference using tools like Groq , we’d love to meet you. This role offers the opportunity to work on next-gen AI products—including chatbots, intelligent agents, and enterprise platforms. Key Responsibilities Design and deploy scalable applications using LLMs such as GPT-4 , LLaMA , Mistral , and Falcon Build and optimize Retrieval-Augmented Generation (RAG) pipelines and AI agents with deep contextual awareness Develop modular AI workflows using LangChain and similar frameworks Work with vector databases (e.g., Pinecone , FAISS ) for semantic search and knowledge retrieval Integrate Groq or similar real-time inference accelerators Fine-tune LLMs for domain-specific use cases and enterprise-level deployments Stay on the leading edge of NLP , TTS/STT , and AI model optimization Collaborate with cross-functional teams to deliver robust AI solutions Required Skills & Experience 3+ years of experience with Generative AI technologies and LLMs Expertise in LangChain , RAG , vector databases , and knowledge-based AI systems Strong Python and/or Node.js development skills Hands-on experience with fine-tuning , inference , and deployment of models like GPT-4, LLaMA, or Mistral Solid understanding of NLP, Speech-to-Text , Text-to-Speech , and token optimization Experience working with APIs from OpenAI , Hugging Face , or Anthropic Strong analytical, problem-solving, and communication skills Preferred (Nice to Have) Experience with Groq , real-time inference engines , or custom accelerator tools Familiarity with Prompt Engineering , RLHF (Reinforcement Learning from Human Feedback) , or MLOps Exposure to Multimodal AI (text, voice, image) Why Join Cogniter Technologies? Develop AI solutions with real-world impact across diverse industries Be part of an innovative, research-led, and collaborative team Work with cutting-edge infrastructure and the latest AI tools Help shape the future of Generative AI and intelligent systems How to Apply Send your resume to hr@cogniter.com Only shortlisted candidates will be contacted. Apply Now