AI Architect - Location: Remote Remote India Remote Remote India Job Type: regular full-time Division: Precision for Medicine Business Unit: QuartzBio Requisition Number: 5716 QuartzBio Overview QuartzBio (www.quartz.bio ) is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry. We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities. Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) – we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows, key insight development, improved collaboration, and the ability to make faster, more informed decisions. Position Summary As AI Architect , you will play a pivotal role in defining and delivering the architecture, strategy, and execution of advanced GenAI systems that power our core products and enable intelligent exploration of biomarker data. You will lead the technical direction of the AI engineering function, ensuring cross-team alignment and driving long-term roadmap planning. In this leadership role, you will architect complex, scalable GenAI pipelines, guide technical design across squads, and influence executive-level decision-making around AI strategy, tooling, and infrastructure. You will also champion best practices in AI-first development, mentor engineering talent, and drive the adoption of emerging AI technologies to ensure our systems remain at the forefront of innovation. Key Responsibilities Architect and lead the development of next-generation RAG systems using vector databases, semantic embeddings, and cloud-native services. Design and implement scalable, production-ready GenAI pipelines and LLM-based services to power intelligent, conversational exploration of biomarker data. Collaborate across Product, Engineering, and Design to align AI architecture with roadmap priorities and user needs. Own key architectural decisions around model orchestration, latency optimization, prompt design, and scalability Strategic technical advisor to leadership and help prioritize AI investments with long-term impact. Provide technical leadership across squads, driving design reviews, AI solution quality standards, and architectural consistency. Lead internal initiatives to adopt and evaluate emerging AI/LLM frameworks, orchestration platforms, and foundation models. Define and refine LLM evaluation frameworks, feedback pipelines, and end-user quality metrics. Champion best practices for AI-first development, observability, versioning, and experimentation Serve as a mentor and multiplier, developing talent across the AI engineering organization. Drive strategic AI initiatives aligned with business goals. Subject matter expert in AI and machine learning technologies. Draft and maintain internal documentation for relevant AI systems and processes; communicate within and across teams. Debug and troubleshoot complex AI system issues and provide timely solutions. Mentor and develop AI engineers; help scale the AI organization through strategic hiring, training, and leadership. Communicate effectively with team members and stakeholders. Collaborate with cross-functional teams to define AI project requirements and timelines. Continuously improving technical skills and staying up to date with emerging AI technologies and shifting priorities Other duties as assigned. Qualifications Bachelor’s degree related field and a minimum of 12 years of relevant work experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions. 10+ years of engineering experience, including 5+ years shipping production ML/AI systems, with a focus on LLMs or GenAI 6-8 years of experience working in a customer-facing role and leading projects. Proven experience driving architecture and strategy for complex AI systems at scale Deep expertise in Python, cloud platforms (especially AWS), and modern AI/ML infrastructure Advanced proficiency with semantic search, vector databases, and retrieval-augmented generation (RAG) architectures Experience working with LLM tooling such as Lang Chain, Llama Index, AWS Bedrock, OpenAI, or similar Familiarity with evaluation pipelines, human-in-the-loop feedback systems, and performance optimization Strong systems thinking and algorithmic fundamentals (DSA) Excellent communication skills, with a track record of aligning stakeholders and driving strategic initiatives. Comfortable in AI-native environments using tools like GitHub Copilot, Cursor, or related development assistants. Strong ability to identify and present information or data that will have a strong effect on others. Strong ability to partner with customers. Strong ability to review and understand end-to-end work processes. Skilled at collaborating with customers to understand their requirements and expectations by asking questions and listening. Excellent problem-solving and analytical skills. Leadership Expectations Follows Company's Principle and code of ethics on a day-to-day basis. Shows appreciation for individual talents, differences, and abilities of fellow team members. Listens and responds with appropriate actions. Leads change initiatives and continuous process improvements. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process. Apply Now Show more Show less

We are seeking skilled LLM Engineers with 5 to 8 years of experience to design, fine-tune, and implement large language model (LLM)-based solutions for an AI integration project. This role involves developing AI-driven functionalities tailored for Salesforce CRM and service ticketing platforms using Azure OpenAI and OpenAI technologies. Key Responsibilities Develop and deploy LLM-based solutions for AI integration into Salesforce and service ticketing systems. Fine-tune pre-trained language models (e.g., GPT) to align with business requirements and enhance application performance. Collaborate with architects and stakeholders to implement generative AI-driven solutions for workflow automation and customer support. Ensure optimized performance and accuracy of LLMs for use cases such as ticket categorization, routing, and customer interaction. Design and implement scalable, secure, and compliant LLM-based architectures. Stay updated on advancements in AI/ML and LLM technologies and apply innovative techniques to solve business challenges. Qualifications Bachelors or Masters degree in Computer Science, Engineering, or related fields. 5 to 8 years of experience in software development or machine learning, with strong exposure to LLMs and generative AI models. Hands-on experience with Azure OpenAI, OpenAI APIs (e.g., GPT models), and their integration into enterprise systems. Proficiency in programming languages such as Python, with a focus on NLP libraries and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Strong understanding of data preprocessing, model training, and optimization techniques for large-scale applications. Preferred Skills Experience integrating LLM-based solutions with Salesforce and service ticketing platforms. Knowledge of cloud deployment and automation practices using tools like Docker, Kubernetes, or Azure DevOps. Familiarity with API development and integration for real-time AI functionalities. Understanding of data governance, security, and compliance standards in AI implementations Show more Show less

Job description Job Title: Tech Lead (AI/ML) – Machine Learning & Generative AI Location: Nagpur (Hybrid / On-site) Experience: 8–15 years Employment Type: Full-time Job Summary: We are seeking a highly experienced Python Developer with a strong background in traditional Machine Learning and growing proficiency in Generative AI to join our AI Engineering team. This role is ideal for professionals who have delivered scalable ML solutions and are now expanding into LLM-based architectures, prompt engineering, and GenAI productization. You’ll be working at the forefront of applied AI, driving both model performance and business impact across diverse use cases. Key Responsibilities: Design and develop ML-powered solutions for use cases in classification, regression, recommendation, and NLP. Build and operationalize GenAI solutions, including fine-tuning, prompt design, and RAG implementations using models such as GPT, LLaMA, Claude, or Gemini. Develop and maintain FastAPI-based services that expose AI models through secure, scalable APIs. Lead data modeling, transformation, and end-to-end ML pipelines, from feature engineering to deployment. Integrate with relational (MySQL) and vector databases (e.g., ChromaDB, FAISS, Weaviate) to support semantic search, embedding stores, and LLM contexts. Mentor junior team members and review code, models, and system designs for robustness and maintainability. Collaborate with product, data science, and infrastructure teams to translate business needs into AI capabilities. Optimize model and API performance, ensuring high availability, security, and scalability in production environments. Core Skills & Experience: Strong Python programming skills with 5+ years of applied ML/AI experience. Demonstrated experience building and deploying models using TensorFlow, PyTorch, scikit-learn, or similar libraries. Practical knowledge of LLMs and GenAI frameworks, including Hugging Face, OpenAI, or custom transformer stacks. Proficient in REST API design using FastAPI and securing APIs in production environments. Deep understanding of MySQL (query performance, schema design, transactions). Hands-on with vector databases and embeddings for search, retrieval, and recommendation systems. Strong foundation in software engineering practices: version control (Git), testing, CI/CD. Preferred/Bonus Experience: Deployment of AI solutions on cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools (MLflow, Airflow, DVC, SageMaker, Vertex AI). Experience with Docker, Kubernetes, and container orchestration. Understanding of prompt engineering, tokenization, LangChain, or multi-agent orchestration frameworks. Exposure to enterprise-grade AI applications in BFSI, healthcare, or regulated industries is a plus. What We Offer: Opportunity to work on a cutting-edge AI stack integrating both classical ML and advanced GenAI. High autonomy and influence in architecting real-world AI solutions. A dynamic and collaborative environment focused on continuous learning and innovation. Show more Show less

Educational Requirements Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology Service Line Cloud & Infrastructure Services Responsibilities As an Infra AI Automation Programmer you will work on design, development, and deployment of AI systems that generate content or data, often using techniques such as deep learning, neural networks, and generative models using Python backend coding. Meet with clients in and remotely to understand their business objectives, challenges, and identify potential use cases for Generative AI. Assess the client's existing technology infrastructure, data landscape, and AI maturity to determine the feasibility and best approaches for Gen AI adoption. Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions (e.g., content creation, customer service, product development, marketing).Gen AI Strategy and Solution Design: Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases, implementation plans, and expected business outcomes. Design Gen AI solutions architecture, considering factors such as model selection (e.g., large language models (LLMs), diffusion models), data requirements, integration with existing systems, and scalability. Evaluate and recommend appropriate Gen AI platforms, tools, and APIs (e.g., OpenAI, Google AI, Azure AI, open-source libraries) relevant to the client's needs and the Indian market. Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications. Additional Responsibilities: Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Technical and Professional Requirements: At least 2+ years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow, Pytorch, Langchain and Prompt Engineering Experience with vector databases and retrieval-augmented generation (RAG). Familiarity with MLOps principles and tools for deploying and managing Gen AI models. Understanding of ethical considerations and responsible AI frameworks. Understanding of data structures, data modelling , SQL & NOSQL Object oriented and functional programming & GIT Knowledge of basic algorithms and object-oriented and functional design principles Deep Knowledge of Mathematics, Probability, Statistics, and Algorithms Good Communication skills Good analytical and problem-solving skills Preferred Skills: Technology->Machine Learning->TensorFlow Technology->Machine Learning->Python Technology->Machine Learning->Generative AI

About ZenDot ZenDot is a cutting-edge technology company building AI-driven solutions that power the next generation of productivity, intelligence, and automation for businesses. Our focus lies in delivering enterprise-grade tools that combine large language models, real-time data, and deep integrations across knowledge ecosystems. We're building a state-of-the-art internal platform for enterprise semantic search, secure document retrieval, and intelligent knowledge graphs . To lead this mission, we are hiring a Senior AI Engineer to architect and implement a search and knowledge engine inspired by world-class products like Glean — but tailored to our own innovation roadmap. Key Responsibilities Lead the end-to-end design and implementation of an enterprise semantic search engine with hybrid retrieval capabilities. Build robust, scalable data ingestion pipelines to index content from sources like Google Workspace, Slack, Jira, Confluence, GitHub, Notion, and more. Design and optimize a reranking and LLM augmentation layer to improve the quality and relevance of search results. Construct an internal knowledge graph mapping users, documents, metadata, and relationships to personalize responses. Implement permission-aware access filters , ensuring secure and role-based query results across users and teams. Collaborate on a modular AI orchestration layer , integrating search, chat, summarization, and task triggers. Maintain model benchmarks, A/B testing frameworks, and feedback loops for continuous learning and improvement. Work closely with product, security, infra, and frontend teams to deliver high-performance and compliant AI solutions . Require Skills & Experience 3+ years of experience in AI/ML engineering with deep expertise in information retrieval (IR) , NLP , and vector search . Strong understanding and hands-on work with BM25, vector stores (Faiss, Weaviate, Vespa, Elasticsearch) . Proficiency in transformer-based models (BERT, RoBERTa, OpenAI embeddings) and document embedding techniques . Experience in building hybrid search pipelines (sparse + dense), rerankers, and multi-modal retrieval systems. Skilled in Python , PyTorch/TensorFlow , and data engineering frameworks (Airflow, Spark, etc.). Familiar with RBAC systems, OAuth2 , and enterprise permissioning logic. Hands-on with graph data structures or knowledge graph tools like Neo4j, RDF, or custom DAG engines. Cloud-native architecture experience (AWS/GCP), Kubernetes, and microservices best practices. Bonus Points For Building or contributing to open-source IR/NLP/search frameworks (e.g., Haystack, Milvus, LangChain). Past work with LLM-driven RAG (Retrieval-Augmented Generation) systems. Familiarity with document-level compliance, access auditing, and SAML/SCIM integrations. Ability to work in fast-paced, zero-to-one product environments with deep ownership. Show more Show less

Key Responsibilities: Design and develop a modular, scalable AI platform to serve foundation model and RAG-based applications. Build pipelines for embedding generation , document chunking , and indexing . Develop integrations with vector databases like Pinecone , Weaviate , Chroma , or FAISS . Orchestrate LLM flows using tools like LangChain , LlamaIndex , and OpenAI APIs . Implement RAG architectures to combine generative models with structured and unstructured knowledge sources. Create robust APIs and developer tools for easy adoption of AI models across teams. Build observability and monitoring into AI workflows for performance, cost, and output quality. Collaborate with DevOps, Data Engineering, and Product to align platform capabilities with business use cases. Core Skill Set: Strong experience in Python, with deep familiarity in ML/AI frameworks (PyTorch, Hugging Face, TensorFlow). Experience building LLM applications , particularly using LangChain , LlamaIndex , and OpenAI or Anthropic APIs . Practical understanding of vector search , semantic retrieval , and embedding models . Familiarity with AI platform tools (e.g., MLflow, Kubernetes, Airflow, Prefect, Ray Serve). Hands-on with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Solid grasp of RAG architecture design , prompt engineering , and model evaluation . Understanding of MLOps, CI/CD, and data pipelines in production environments. Preferred Qualifications: Experience designing and scaling internal ML/AI platforms or LLMOps tools. Experience with fine-tuning LLMs or customizing embeddings for domain-specific applications. Contributions to open-source AI platform components. Knowledge of data privacy, governance, and responsible AI practices. What You’ll Get: A high-impact role building the core AI infrastructure of our company. Flexible work environment and competitive compensation. Access to cutting-edge foundation models and tooling. Opportunity to shape the future of applied AI within a fast-moving team. Show more Show less

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

Roles and Responsibilities: Translating business requirements into analytical solutions Do hands-on data analysis, using statistical techniques Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability, efficiency, and alignment with business goals. Develop and optimize GenAI frameworks like AutoGen, and NLP models tailored to specific use cases. Build and deploy production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications using OpenAI APIs, Ollama, Llama, and llamaparse. Leverage Azure cloud services along with event-driven architecture in Python, to deliver high-performing AI solutions. Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, for enhancing AI model interactions. Use Docker effectively, including executing Docker commands for containerization and deployments in cloud environments. Ensure solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency. Performs code reviews and regression tests as well as triages and fixes issues to ensure the quality of code. Collaborates with others inside the project team to accomplish project objectives. Lead a lean team of senior and associate software engineers and data scientists. Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Qualifications: Bachelor’s/Master’s degree in Engineering, Information Systems, Statistics, Math, Computer Science or related field and 6+ years of engineering work experience. 5+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and programming in Python. Proficiency in Python (mandatory). Skill Set; NLP, NLU, NLI Experience working with both structured and unstructured data. Demonstrated experience with RAG systems, chatbot development, and working with GenAI technologies like LLM fine-tuning and OpenAI APIs. Deep understanding of Autogen components and advanced NLP techniques. Familiarity with best practices in system design, including security, performance optimization, and scalability. Show more Show less

Job Title: AI Research Engineer – Private LLM & Cognitive Systems Location: Delhi Type: Full-Time Experience Level: Senior / Expert Start Date: Immediate About Brainwave Science: Brainwave Science is a leader in cognitive technologies, specializing in solutions for the security and intelligence sectors. Our flagship product, iCognative™ , leverages real-time cognitive response analysis using Artificial Intelligence and Machine Learning techniques to redefine the future of investigations, defense, counterterrorism, and counterintelligence operations. Beyond security, Brainwave Science is at the forefront of healthcare innovation, applying our cutting-edge technology to identifying diseases, various neurological conditions, and mental health challenges in advance and identification of stress and anxiety in real time and providing non-medical, science-backed interventions. Together, we are shaping a future where advanced technology strengthens security, promotes wellness, and creates a healthier, safer world for individuals and communities worldwide. About the Role We are seeking an experienced and forward-thinking AI/ML Engineer – LLM & Deep Learning Expert to design, develop, and deploy Large Language Models (LLMs) and intelligent AI systems. You will work on cutting-edge projects at the intersection of natural language processing , edge AI , and biosignal intelligence , helping drive innovation across defense, security, and healthcare use cases. This role is ideal for someone who thrives in experimental environments, understands private and local LLM deployments, and is passionate about solving real-world challenges using advanced AI. Responsibilities Design, train, fine-tune, and deploy Large Language Models using frameworks like PyTorch , TensorFlow , or Hugging Face Transformers Integrate LLMs for local/edge deployment using tools like Ollama , LangChain , LM Studio , or llama.cpp Build NLP applications for intelligent automation , investigative analytics , and biometric interpretation Optimize models for low-latency , token efficiency , and on-device performance Work on prompt engineering , embedding tuning , and vector search integration (FAISS, Qdrant, Weaviate) Collaborate with technical and research teams to deliver scalable AI-driven features Stay current with developments in open-source and closed-source LLM ecosystems (e.g., Meta, OpenAI, Mistral) Must-Have Requirements B.Tech/M.Tech in Computer Science (CSE) , Electronics & Communication (ECE) , or Electrical & Electronics (EEE) from IIT, NIT, or BITS Minimum 3 - 4 years of hands-on experience in AI/ML, deep learning , and LLM development Deep experience with Transformer models (e.g., GPT, LLaMA, Mistral, Falcon, Claude) Hands-on with tools like LangChain , Hugging Face , Ollama , Docker , or Kubernetes Proficiency in Python , and strong knowledge of Linux environments Strong understanding of NLP , attention mechanisms , and model fine-tuning Preferred Qualifications Experience with biosignals , especially EEG or time-series data Experience deploying custom-trained LLMs on proprietary datasets Familiarity with RAG pipelines and multi-modal models (e.g., CLIP, LLaVA) Knowledge of cloud platforms (AWS, GCP, Azure) for scalable model training and serving Published research, patents, or open-source contributions in AI/ML communities Excellent communication, analytical, and problem-solving skills What We Offer Competitive compensation based on experience Flexible working hours and remote-friendly culture Access to high-performance compute infrastructure Opportunities to work on groundbreaking AI projects in healthcare, security, and defense Show more Show less

This role is for one of the Weekday's clients Min Experience: 4 years Location: Bengaluru, Pune JobType: full-time We are looking for an experienced Python Fullstack Developer with a strong foundation in backend API development and a deep understanding of AI and data science tools. The ideal candidate should be proficient in designing and maintaining scalable systems and integrating advanced AI services across various cloud platforms. Requirements Key Responsibilities: Design, develop, and maintain robust backend APIs using Python to support frontend data requirements. Leverage data science libraries and tools such as Pandas, Scikit-learn, NumPy, TensorFlow, and Keras for data analysis and machine learning model implementation. Work with AI and ML services across major cloud platforms, including: Google Cloud Platform (Vertex AI, etc.) Microsoft Azure (AI services) Amazon AWS (AI/ML services) OpenAI integration Implement MLOps practices to streamline deployment, monitoring, and management of ML models. Apply Natural Language Processing (NLP) techniques for real-world applications. Collaborate closely with cross-functional teams to deliver fullstack solutions that are performance-driven and scalable. Required Skills: Strong proficiency in Python Experience with API development and backend integration Solid knowledge of data science and ML frameworks: Pandas, Scikit-learn, NumPy, TensorFlow, Keras Familiarity with AI services across GCP, AWS, Azure, and OpenAI Experience with MLOps and NLP Ability to work collaboratively in a fast-paced development environment Show more Show less

This role is for one of the Weekday's clients Min Experience: 4 years Location: Bengaluru, Pune JobType: full-time We are looking for an experienced Python Fullstack Developer with a strong foundation in backend API development and a deep understanding of AI and data science tools. The ideal candidate should be proficient in designing and maintaining scalable systems and integrating advanced AI services across various cloud platforms. Requirements Key Responsibilities: Design, develop, and maintain robust backend APIs using Python to support frontend data requirements. Leverage data science libraries and tools such as Pandas, Scikit-learn, NumPy, TensorFlow, and Keras for data analysis and machine learning model implementation. Work with AI and ML services across major cloud platforms, including: Google Cloud Platform (Vertex AI, etc.) Microsoft Azure (AI services) Amazon AWS (AI/ML services) OpenAI integration Implement MLOps practices to streamline deployment, monitoring, and management of ML models. Apply Natural Language Processing (NLP) techniques for real-world applications. Collaborate closely with cross-functional teams to deliver fullstack solutions that are performance-driven and scalable. Required Skills: Strong proficiency in Python Experience with API development and backend integration Solid knowledge of data science and ML frameworks: Pandas, Scikit-learn, NumPy, TensorFlow, Keras Familiarity with AI services across GCP, AWS, Azure, and OpenAI Experience with MLOps and NLP Ability to work collaboratively in a fast-paced development environment Show more Show less

Python lead: Python (OOP, async programming, decorators, generators) REST API development using Flask, FastAPI, or Django Data manipulation with Pandas, NumPy File handling (JSON, CSV, XML) AWS Secondary Skill – Basic prompt engineering Consuming GenAI APIs (e.g., OpenAI, Gemini, Hugging Face) Using frameworks like LangChain / LLamaIndex Building GenAI-powered apps Exp: 6yrs to 13yrs Location:Pan india Thanks & Regards, Indumati N Indumati.nakate@alphacom.in https://www.linkedin.com/company/alphacom-systems-and-solutions-pvt-ltd/ www.alphacom.in Show more Show less

Full Stack AI Developer – LLM & Workflow Automation 📍 Remote | 🕒 8–10 Years | 🧠 Python, React, LLMs, n8n 🧩 About the Role: We’re hiring a Full Stack AI Developer to build next-gen applications that combine intelligent chatbots, LLM workflows, and seamless UI/UX interfaces. You’ll own features end-to-end, from backend APIs and AI integrations to frontend web experiences. 🎯 Key Responsibilities: Design, develop, and deploy full-stack AI-powered applications Build responsive web interfaces using React (or Angular/Vue) Integrate LLMs (OpenAI, Claude, etc.) for smart assistants, summarization, etc. Create and orchestrate automation flows with n8n Build and maintain APIs using Python (FastAPI/Django) Deploy solutions in cloud-native environments (AWS, Azure) Work with cross-functional teams on feature delivery, testing, and scaling ✅ Must-Have Skills: 8–10 years of full-stack development experience Strong in Python for backend and AI integrations (FastAPI, Django) Proficient in React.js (or Angular/Vue) for building modern UIs Hands-on experience with n8n automation workflows Experience integrating LLMs (OpenAI, LangChain, GPT, Claude) REST APIs, webhooks, and third-party integrations Cloud platforms (AWS, Azure, or GCP) CI/CD pipelines, Docker, and SQL/NoSQL databases 🌟 Nice to Have: Experience with MLOps (MLflow, SageMaker, Kubeflow) Familiarity with RAG pipelines, vector DBs (FAISS, Pinecone) Semantic Kernel or multi-agent LLM frameworks Azure certifications This is a remote offshore position, with exciting long-term projects and the chance to work with a dynamic, global tech team. To apply: Send your resume to info@ribbitzllc.com Show more Show less

Job Title: Backend Developer Internship In Mohali Location: Mohali Duration : 6 Months Stipend Details: Rs.10,000-15,000/month Job Summary: We are looking for a passionate and enthusiastic Intern to join our IT software solutions team. This internship provides an excellent opportunity to gain hands-on experience in full-stack development, working on cutting-edge technologies, including AI-driven applications. The ideal candidate should have a strong interest in both front-end and back-end development and be eager to learn and grow in a dynamic work environment. Responsibilities: Assist in the design, development, and maintenance of web applications and software solutions. Work with senior developers to implement front-end and back-end features using modern frameworks and technologies. Write clean and efficient code under the guidance of experienced developers. Participate in debugging, troubleshooting, and improving application performance. Collaborate with cross-functional teams to understand project requirements and deliver quality solutions. Learn and work on AI and machine learning integration as an additional skill. Stay updated with the latest trends and advancements in software development. Requirements: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, IT, or a related field. School Education Board should be CBSE/ICSE Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, React.js, Angular, or Vue.js. Understanding of back-end development with Node.js, Python, Java, or PHP. Familiarity with databases like MySQL, PostgreSQL, or MongoDB. Exposure to cloud platforms such as AWS, Azure, or Google Cloud is a plus. Basic understanding of version control systems (Git, GitHub, GitLab). Interest in AI/ML technologies (TensorFlow, PyTorch, OpenAI, or related frameworks) is a plus. Strong problem-solving skills and eagerness to learn new technologies. Good communication and teamwork skills. Job Types: Full-time, Permanent, Internship Contract length: 6 months Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you willing to relocate to Mohali ? What is your School Education Board ? Work Location: In person

Role: React Js with Gen Ai We are looking for strong Reactjs and Next js with backend Node exposure. Strong communication with GEN AI experience. We are also looking for someone who are techno-manager and able to handle a team. Required Qualifications: 7+ years of professional experience in frontend development with a strong focus on React.js. Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3. Deep understanding of React Hooks, Context API, and component-based architecture. Proven experience integrating with RESTful APIs and/or GraphQL. Demonstrable experience integrating Generative AI components or LLM APIs into web applications (e.g., OpenAI API, Hugging Face Inference API, Vercel AI SDK, LangChain.js). Experience with handling API response streaming (e.g., Server-Sent Events). Strong experience with state management libraries (e.g., Zustand, Jotai, Redux, TanStack Query). Familiarity with modern frontend build pipelines and tools (e.g., Webpack, Vite, Babel, npm/yarn). Experience with testing frameworks (e.g., Jest, React Testing Library). Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Show more Show less

About Outlier Outlier is the world’s leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Physics experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Physics. Develop and answer Physics-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required Expertise And Qualifications Education: Master’s degree or higher (PhD preferred) in Physics or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment Currently, pay rates for core project work by Physics experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. Show more Show less

About Outlier Outlier is the world’s leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Biology experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Biology Develop and answer Biology-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required Expertise And Qualifications Education: Bachelor's, Master’s degree or higher (PhD preferred) in Biology or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment Currently, pay rates for core project work by Biology experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. Show more Show less

Job Title: Senior Data Scientist – Data & Analytics How You Will Do It Advanced Analytics, LLMs & Modeling Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude). Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications. Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Data Strategy & Engineering Collaboration Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines. Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search). Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management. Business Impact & AI Strategy Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges. Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units. Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences. Thought Leadership & Mentorship Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements. Mentor and upskill data science team members in advanced AI techniques, including transformer models and generative AI frameworks. Contribute to strategic roadmaps for generative AI and model governance within the enterprise. Qualifications & Experience Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline. 5+ years of hands-on experience in data science, including at least 1–2 years working with LLMs or generative AI technologies. Demonstrated success in deploying machine learning and NLP solutions at scale. Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock. Technical Expertise Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), LangChain, PyTorch, and TensorFlow. Experience with prompt engineering, fine-tuning, and LLM orchestration tools. Familiarity with data storage, retrieval systems, and vector databases. Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics. Leadership & Soft Skills Strategic thinker with a strong ability to align AI initiatives to business goals. Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics. Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams. Preferred Qualifications Experience with IoT, edge analytics, or smart building systems. Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks. Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments. Show more Show less

Job Title : AI-Focused Full Stack Developers Location : Hyderabad (On-site/Hybrid) Company : Cyepro Solutions Experience : 0-8 Years Type : Full-time About Cyepro Solutions Cyepro Solutions is a product-driven tech company building intelligent CRM, ERP, marketplace, and logistics platforms. We're focused on combining traditional software engineering with cutting-edge AI, especially Prompt Engineering and Generative AI, to build scalable and intelligent products. Role Summary We are hiring developers who are passionate about AI and have strong hands-on coding experience. You'll work on building next-generation platforms that integrate AI/LLMs into core workflows. This is a great opportunity to work in a fast-paced startup environment and innovate at scale. Key Responsibilities Build full-stack applications using Java, Python, Node.js, Angular, or React.js. Design and integrate Generative AI features using LLMs (GPT, Claude, etc.) into web and backend systems. Write and optimize prompts for AI-based workflows, chat interfaces, and automation. Develop APIs and frontends for AI-driven features. Work with product teams to convert business needs into intelligent user experiences. Participate in code reviews, unit testing, and agile development cycles. Stay up to date with the latest in AI, GenAI, and Prompt Engineering trends. Must-Have Skills Strong programming experience in at least one : Java, Python, Node.js, Angular, React.js. Hands-on experience with Prompt Engineering and working with LLMs. Good understanding of REST APIs, version control (Git), and modern software practices. Problem-solving mindset and eagerness to work in a fast-moving product environment. Good To Have Experience with tools like LangChain, OpenAI API, Hugging Face, or similar. Knowledge of vector databases, embeddings, or RAG (Retrieval-Augmented Generation). Familiarity with DevOps, cloud deployment (AWS/GCP), or containerization (Docker, Kubernetes). (ref:hirist.tech) Show more Show less

About Our Company: We are a growing BPO (Business Process Outsourcing) company that's redefining how businesses operate. Our culture is deeply rooted in being tech-forward and savvy, constantly leveraging the latest innovations to deliver exceptional results for our clients. We believe in empowering our teams with cutting-edge tools and processes to drive efficiency and success. Job Summary: We’re seeking a highly motivated, technically fluent operator to lead the design, integration, and automation of systems that drive efficiency, performance, and growth. This hands-on role will initially focus on Sales operations, revamping workflows and unifying tools across CRM, lead gen, outreach, and performance tracking. Over time, your remit will expand across Recruiting, Client Delivery, and Operations, making this a high-growth, high-impact opportunity for someone eager to architect scalable solutions across the business. You will be connecting platforms, reducing manual work, and applying AI to streamline how teams operate. This is a foundational role with long-term visibility and firmwide influence. Key Responsibilities Sales Workflow Overhaul & Tech Stack Automation Lead the redesign of our Sales workflow and tech stack; identify inefficiencies, architect automations, and build integrated systems using tools like HubSpot, LinkedIn, and Apollo Automate outreach and follow-ups via platforms like Make, Zapier, or n8n, connecting our CRM, lead lists, and enrichment tools Expand Automation Across Teams After optimizing Sales, extend your impact to Recruiting, Operations, and Delivery, standardizing and automating high-volume or repetitive processes Design workflows that span departments while maintaining clear ownership and traceability System Integration & Performance Visibility Integrate tools via API, webhooks, or scripting (e.g., Python, JavaScript, Node.js) to ensure seamless data flow and synchronization Build dashboards and reports that track KPIs across sales and other functions—highlighting activity, conversions, and operational bottlenecks Data Integrity & Enablement Own the cleanliness and accuracy of data across systems. Implement data validation routines and real-time syncing to power reliable decision-making Provide training and documentation so team members can adopt systems with confidence and autonomy AI Tooling & Innovation Apply AI platforms like OpenAI, Claude, or Perplexity to augment outbound messaging, automate research, and support workflow decisions Build reusable AI and automation modules that enhance productivity across functions Collaboration & Execution Work cross-functionally with leaders in Sales, Recruiting, Marketing, and Operations to identify needs, translate them into technical requirements, and deliver solutions Be a builder: hands-on, iterative, and execution-focused while thinking strategically about scale Qualifications 2–5 years of experience in RevOps, TechOps, Sales/Marketing Ops, or a similar role focused on automation, workflow optimization, or system integration Strong English written and verbal communication skills Strong command of tools like Zapier, Make, n8n, and CRMs (HubSpot, Salesforce, or Zoho) Working knowledge of APIs, webhooks, and scripting (JavaScript, Python, Node.js preferred) Familiarity with sales outreach tools, lead enrichment (e.g., Apollo, Clearbit), and recruiting or applicant tracking systems is a plus Strong analytical mindset with the ability to evaluate processes, prioritize high-leverage improvements, and implement quickly Clear communicator who can engage both technical and non-technical audiences Experience with AI tools or interest in operationalizing them across functions is a significant advantage What We Offer: Competitive Pay and Benefits Work with cutting-edge sales technology and help shape our evolving tech stack Thrive in a fast-paced, supportive global remote team with real work-life balance Join a culture that values your contributions and gives you the tools to succeed Play a key role in sales operations—your impact on company growth will be visible Be part of an innovative team that constantly learns, adapts, and tackles new challenges (Bold Business recruiters always use a “@boldbusiness.com” email address and/or from our Applicant Tracking System, JazzHR. Any variation of this email domain should be considered suspicious. Additionally, Bold Business recruiters and authorized representatives will never request sensitive information in email or via text.) Powered by JazzHR fNnwjOMBG4 Show more Show less

Job Title: AI Content Developer Location: 702, 7th floor, Devika Tower, Nehru Place, New Delhi - 110019 Employment Type: Full-time Experience Required: 2 years experience Job Summary: We are looking for a creative and technically skilled AI Content Developer to design, develop, and refine high-quality content using AI tools and technologies. The ideal candidate will be well-versed in generative AI platforms (e.g., ChatGPT, Claude, Jasper, Copy.ai, etc.) and have a strong understanding of content creation principles for marketing, education, or corporate training purposes. Key Responsibilities: Create, refine, and optimize text, image, or video content using AI-driven tools. Collaborate with marketing, design, and development teams to plan and execute AI-generated content strategies. Train and fine-tune AI models (if applicable) for specific business content needs. Evaluate AI outputs for tone, accuracy, and alignment with brand guidelines. Develop prompt templates, content scripts, FAQs, chatbot flows, or other AI-assisted outputs. Stay up to date with advancements in AI content generation tools and techniques. A/B test AI-generated content performance and optimize accordingly. Hands-on experience with AI content generation tools (e.g., OpenAI’s ChatGPT, Jasper, Copy.ai, etc.). Skills Required: Excellent writing and editing skills with attention to detail. Ability to write for different tones, audiences, and platforms. Familiarity with SEO best practices and digital marketing content. (Preferred) Basic understanding of natural language processing (NLP) and prompt engineering. Preferred Qualifications: Knowledge of tools like Canva, Grammarly, Surfer SEO, Notion AI, or Descript. Experience working with CMS systems (e.g., WordPress). Previous experience in marketing, copywriting, instructional design, or technical writing. Salary Range: 20k to 25k Reporting To: Digital Marketing Manager

Job Overview: We are seeking a talented and versatile professional with expertise in UX Design, Digital Marketing, Full Stack Development, and Mobile Application Development. The ideal candidate will also have experience in AI and ERP automation, contributing to the development and enhancement of our digital platforms. Key Responsibilities: UX Design: Conduct user research and create user personas to enhance customer experience. Develop wire frames, prototypes, and design mockups for web and mobile applications. Implement UI/UX best practices to improve usability and engagement. Collaborate with developers to ensure seamless integration of design elements. Digital Marketing: Plan and execute digital marketing campaigns, including SEO, SEM, and social media. Analyse website and campaign performance using Google Analytics and other tools. Optimise content for search engines and user engagement. Develop strategies for lead generation and brand awareness. Mobile Application Development: Develop and maintain mobile applications for iOS and Android platforms. Work with frameworks such as React Native, Flutter, or Swift/Kotlin. Ensure app performance, security, and user experience optimisation. Integrate mobile applications with back-end services and third-party APIs. AI Experience (Preferred): Leverage AI/ML for improving user experience and personalization. Implement chatbots, recommendation systems, and predictive analytics. Work with AI frameworks such as TensorFlow, PyTorch, or OpenAI APIs. ERP System Automation: Develop and automate ERP workflows for seamless business operations. Integrate ERP systems with third-party applications. Optimise processes through robotic process automation (RPA) and AI-driven solutions. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Marketing, Design, or a related field. Strong knowledge of UX/UI principles and tools (Figma, Adobe XD, Sketch). Proficiency in front-end and back-end development. Experience with SEO, digital marketing strategies, and campaign management. Knowledge of AI/ML technologies and ERP automation (preferred). Experience in mobile application development for iOS and Android. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Experience in Agile development methodologies. Hands-on experience with automation tools for ERP systems. Certification in UX, Digital Marketing, AI, Full Stack Development, or Mobile Development. Show more Show less

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.