4 Auto Gpt Jobs

Job Description: We are seeking an enthusiastic and highly skilled Senior AI ML Developer to join our team and work on exciting AI initiatives. The ideal candidate should have worked in CRM Domain like Zoho CRM/ Fresh works and have expert knowledge in AI/ML models, LLMS, Vector database and RAG techniques to automate workflows, create conversational analytics assistants and create similarity models by clustering/ embeddings. Key Responsibilities: 1. Develop CRM Agentic AI Design and implement AI agents using frameworks like Lang Chain, AutoGPT, or ReAct. Automate CRM processes by enabling agents to handle emails, generate follow-ups, update pipelines, and classify tickets. Integrate models for sentiment analysis, intent recognition, entity extraction, and summarization. Connect agents to external APIs, calendars, and CRM tools (e.g., Salesforce, HubSpot). Manage agent memory and context via vector databases like FAISS or Pinecone. 2. Conversational KPI Dashboard Assistant Build a chatbot interface that allows users to query CRM KPIs via natural language. Use Python, LangChain, and OpenAI APIs to parse queries and trigger backend data retrieval tools. Render results in both dashboard format (e.g., Recharts/Chart.js) and tabular views. Support queries like Whats the total expected revenue this quarter?” or “Show me the lead-to-win ratio by region.” 3. Similarity and Recommendation Engines Extract features from existing AI/ML libraries. Build and manage an embedding database for semantic similarity search. Implement clustering algorithms (e.g., K-Means) to group songs based on genre. Develop a scoring system to compare new tracks to a database of existing songs. Required Experience and Qualifications: 4+ years of experience in AI/ML Model development. Should have expert knowledge in CRM Domain including workflows, Forms, Dashboards/reports and data import/export as done. Proficient in Python, with strong experience in TensorFlow, PyTorch, and Scikit-learn. Working knowledge of LangChain, AutoGPT and LLM integration. Expertise in developing Agents for CRM, Dashboards in Leading organisation. Expertise in implementing Agentic AI solutions using LLM models, RAG and Vector database. Proven experience in vector similarity, embedding models and clustering techniques. Passionate about AI innovation and solving real-world challenges with automation and intelligence Proven experience in designing platform architecture and managing API integrations. Strong background in microservices architecture and REST API design. Demonstrated experience with scalability and performance optimization for cloud-based platforms. Experience with Agile methodologies and leading cross-functional teams in a fast-paced environment. Excellent communication and presentation skills for delivering product demos and gathering customer feedback. Proven ability to manage a product roadmap and deliver on tight deadlines. Experience with data security, compliance, and industry best practices. A bachelor’s degree in computer science, engineering, or a related field.

Design and deploy autonomous AI agents using LLMs and frameworks like LangChain or AutoGPT. Collaborate on real-world applications, optimize agent workflows, and ensure safe, scalable AI solutions. Strong Python and GenAI experience required.

Role & responsibilities We are seeking an enthusiastic and highly skilled Senior AI ML Developer to join our team and work on exciting AI initiatives. The ideal candidate should have worked in CRM Domain like Zoho CRM/ Fresh works and have expert knowledge in AI/ML models, LLMS, Vector database and RAG techniques to automate workflows, create conversational analytics assistants and create similarity models by clustering/ embeddings. 1. Develop CRM Agentic AI Design and implement AI agents using frameworks like Lang Chain, AutoGPT, or ReAct. Automate CRM processes by enabling agents to handle emails, generate follow-ups, update pipelines, and classify tickets. Integrate models for sentiment analysis, intent recognition, entity extraction, and summarization. Connect agents to external APIs, calendars, and CRM tools (e.g., Salesforce, HubSpot). Manage agent memory and context via vector databases like FAISS or Pinecone. 2. Conversational KPI Dashboard Assistant Build a chatbot interface that allows users to query CRM KPIs via natural language. Use Python, LangChain, and OpenAI APIs to parse queries and trigger backend data retrieval tools. Render results in both dashboard format (e.g., Recharts/Chart.js) and tabular views. Support queries like "Whats the total expected revenue this quarter?" or "Show me the lead-to-win ratio by region." 3. Similarity and Recommendation Engines Extract features from existing AI/ML libraries. Build and manage an embedding database for semantic similarity search. Implement clustering algorithms (e.g., K-Means) to group songs based on genre. Develop a scoring system to compare new tracks to a database of existing songs. Required Experience and Qualifications: 4+ years of experience in AI/ML Model development. Should have expert knowledge in CRM Domain including workflows, Forms, Dashboards/reports and data import/export as done. Proficient in Python, with strong experience in TensorFlow, PyTorch, and Scikit-learn . Working knowledge of LangChain, AutoGPT and LLM integration. Expertise in developing Agents for CRM, Dashboards in Leading organisation. Expertise in implementing Agentic AI solutions using LLM models, RAG and Vector database. Proven experience in vector similarity, embedding models and clustering techniques. Passionate about AI innovation and solving real-world challenges with automation and intelligence Proven experience in designing platform architecture and managing API integrations. Strong background in microservices architecture and REST API design. Demonstrated experience with scalability and performance optimization for cloud-based platforms. Experience with Agile methodologies and leading cross-functional teams in a fast-paced environment. Excellent communication and presentation skills for delivering product demos and gathering customer feedback. Proven ability to manage a product roadmap and deliver on tight deadlines . Experience with data security , compliance, and industry best practices. A bachelors degree in computer science, engineering, or a related field.

Role & responsibilities Urgent Hiring for one of the reputed MNC Immediate joiners Only Females Bang / Pune / Hyd Exp - 4 - 12 Years Job Description: Senior Data Scientist - Multi-Agent AI Systems About the Role 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 Required Qualifications 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 candidate profile 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