79 Chatbot Development Jobs - Page 2

We are seeking a Senior Solution Consultant with 6-10 years of experience in API integration, chatbot development, and data analysis tools. The role involves designing solutions, managing virtual assistants' architecture, gathering business requirements, and leading end-to-end delivery. The candidate should have experience in APIs like OData, REST, SOAP, as well as tools like Postman, Excel, and Google Sheets. Familiarity with NoSQL databases such as MongoDB, natural language processing, chatbot platforms (Dialogflow, Microsoft Bot Framework), and analytical tools like Power BI, Tableau, or Grafana is essential. The consultant will work closely with cross-functional teams, mentor other consultants, and ensure seamless integration with customer systems.

Position: Experience : 3 to 5 Years Location : Mohan Corporate Office (Work from Office Only) Job Type: Full-Time Salary: To be discussed during the interview Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, Open AI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Implement Retrieval-Augmented Generation (RAG) using vector databases - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and ML Ops (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Experience: 2 years of experience in GenAI development is a must. Job Type: Work-from-Office or Remote | Full-time Location: Mangalore, Karnataka. Must have skills: Strong experience with MCP framework for building and deploying scalable AI solutions. Proven expertise in developing voice and text-based AI bots across platforms. Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and integration of GenAI APIs (like OpenAI, Azure OpenAI, etc.). Demonstrated ability to lead and manage teams , oversee project workflows, and drive successful delivery of technical solutions. Key Responsibilities: Design, develop, and optimize generative AI applications based on specific client requirements, including bots, agents, automation systems and AI-driven platforms Mentor and guide the development team, helping them solve technical challenges and improve project delivery Write clean, maintainable code and conduct code reviews. Lead data collection, preparation, and optimization efforts to enhance the performance of AI applications Stay updated with the latest research and advanements in AI/ML and assess their applicability. What Were Looking For? Strong programming skills in Python and experience with ML libraries/frameworks (Langchain, spacy, NLTK, Hugging Face, etc.).\ Hands-on experience with NLP, Dailogflow, Voiceflow, RASA, Microsoft Bot Framework, MCP Familiarity with MLOps practices, model deployment, and cloud platforms (AWS, GCP, Azure). Exposure to AI bot/agent platforms like Make, POE, RetellAI Solid understanding of data structures, algorithms, and software engineering principles. Strong analytical and problem-solving skills.

• The knowledge of a programming language, JavaScript, is preferred. • Basic knowledge on APIs and how to work with it. • Basic knowledge of requirements and data analysis. • Good communication skills. • Team work. • Willingness to learn new things.

About Our Client: Our client is a tech-enabled outsourcing platform that integrates AI with human expertise to deliver exceptional customer experiences. Their servicesranging from telecalling to sales and supportleverage automation and trained professionals to drive efficiency, reduce costs, and scale business growth across industries. Job Description: AI Deployment Specialist Location: Noida Experience: 3+ Years Qualification: Bachelors in Engineering or relevant field About the role: This is a customer-facing, project management + technical role focused on deploying AI voice/chat agents for clients. You’ll act as a bridge between customers, tech, and internal teams—making sure the AI agent is designed, integrated, tested, launched, and improved continuously. Responsibilities: Conduct deep-dive sessions to capture goals, data flows, compliance rules, and success metrics. Translate requirements into a clear agent blueprint for building AI agent—conversation flows, prompts, fallback logic, and reporting. Coordinate Product, Engineering, and Ops to configure, test, and launch the AI agent within agreed timelines and budgets. Connect the agent with CRMs, telephony, and data sources via APIs and webhooks; validate end-to-end hand-offs. Guide customers through UAT, collect feedback, and secure go-live approval. Track containment rate, CSAT, and other KPIs; fine-tune prompts and flows to boost performance. Identify new use cases and channels, build business cases, and partner with Sales to grow account revenue. Surface product gaps and influence the roadmap with data-backed insights. Support and coordinate with the operations team and other stakeholders to ensure seamless delivery to customers. Raise open issues with cross-functional teams and drive resolution in a timely manner. “Growth” getter & upseller: Find opportunities to upsell/cross-sell/upgrade in existing customer base to expand the MRR or recurring revenue. Solicit references from existing customers. Own the customer journey from kickoff to steady state, helping prompt writers design, launch and iterate on their AI agents. Coordinate with finance teams for billing initiatives. Run regular check-in meetings through weekly, monthly, and quarterly business reviews to proactively address customer needs, and concerns, and provide quick and effective solutions. Requirements: 3+ years in customer-facing implementation of conversational AI (voice or chat). Proven experience integrating AI solutions with CRMs or ticketing platforms (e.g., Zendesk, Freshdesk, custom stacks). Comfort with basic web tech and APIs, enough to collaborate effectively with engineers. Strong project-management discipline: scoping, timelines, risk mitigation, stakeholder updates. Executive-level communication skills; able to translate technical details into business impact. Mindset of continuous improvement—you treat go-live as Day 1, not done.

Role & Responsibilities: Design & implement AI workflows to automate CRM, trip quotations, lead follow-ups, and customer chat/voice queries Build smart agents using GPT (chat + voice) for internal & customer use (OpenAI, Twilio, CallHippo) Integrate travel APIs (flights, hotels, activities) with our platform for live quotation generation Automate repetitive tasks using Make.com, Zapier, and internal tools Work with the Product and Creative teams to bring AI to media creation (photo/video sorting, customer albums, etc.) Develop performance dashboards, auto-suggestion tools, and smart seller assistants Stay up to date with AI trends in TravelTech and test applicable models for use Preferred Candidate Profile: 2 to 5 years of real-world experience in applied AI, automation, or backend systems Strong Python skills (FastAPI, LangChain, Pandas, etc.) Hands-on with OpenAI/GPT APIs, Twilio, WhatsApp integrations Familiarity with automation tools like Make.com, Zapier Passionate about travel, tech, and creating impact Bonus: Experience in e-commerce, SaaS, or travel-tech products

We are looking for a skilled UI/UX Designer & Chatbot with 8 to 12 years of experience to join our team at Apptad Technologies Pvt Ltd. The ideal candidate will have a strong background in designing user interfaces and experiences, as well as developing chatbots. Roles and Responsibility Design and develop visually appealing and user-friendly interfaces for various applications. Create prototypes and high-fidelity designs to test and validate design concepts. Collaborate with cross-functional teams to identify design requirements and solutions. Develop and maintain design guidelines, standards, and best practices. Conduct user research and testing to inform design decisions. Stay up-to-date with the latest design trends and technologies. Job Strong portfolio showcasing expertise in UI/UX design and development. Proficiency in design tools such as Sketch, Figma, Adobe Creative Suite, and InVision. Excellent communication and collaboration skills are required to work effectively with stakeholders. Ability to think creatively and develop innovative design solutions. Strong problem-solving skills with attention to detail and ability to meet deadlines. Experience with chatbot development and deployment is an added advantage.

Location: Hyderabad, India | Employment Type: Full-Time Experience Level: 2+Years Company: Covasant Contact Person: Ranjith Reddy 9703455109 | ranjith.palle@covasant.cm | linkedin.com/in/ranjith-r-75a766227 Build the Future of AI with Covasant At Covasant , we don't just work with AI we engineer the next era of it. We're hiring mid-level to senior developers and AI leads to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable. This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI , and more. If youve got the skills and curiosity to work on what the AI world will be talking about next year , we want to hear from you. Your Role Design and develop multi-agent LLM systems using LangGraph, AutoGen, or CrewAI. Build and deploy MCP servers , LLM gateways , and design Agent-to-Agent collaboration flows. Fine-tune language models for verticals like healthcare, manufacturing, or finance. Architect retrieval-augmented generation (RAG) systems with vector stores like FAISS, Pinecone, or Weaviate. Integrate tools like LangSmith , GuardrailsAI , and knowledge graphs to ensure trust, safety, and observability. Collaborate cross-functionally with product, data science, and engineering teams. What You Bring 2+ years in software development, with strong Python skills. Proven expertise in one or more: LangGraph , AutoGen , CrewAI . Deep understanding of Agent-based AI , LLM orchestration , and RAG pipelines . Experience fine-tuning LLMs and applying prompt engineering and domain adaptation . Familiarity with tools like LangSmith , PromptGuard , or Guardrails frameworks. Bonus If You Have Cloud experience (AWS, Azure, GCP) Familiarity with Docker, Kubernetes Exposure to multi-modal models (LLaMA, Mistral, Falcon) Frontend tech: React, Angular, or Vue CI/CD, MLOps, or LLMOps knowledge Important We’re currently hiring mid-level, senior, and lead professionals with hands-on experience in AI/ML projects . These openings are not for freshers or professionals with less than 2 years of experience — but we are planning something exciting for early-career AI talent soon! Why Join Covasant Work on real-world agentic AI systems ahead of industry trends Collaborative and innovation-first work culture Competitive pay, benefits & performance incentives Hybrid/flexible work setup A chance to lead and influence the next chapter in AI Let’s Connect If this excites you — whether or not you're actively job hunting — don’t miss the chance to explore this game-changing opportunity. Ranjith Reddy – 9703455109 ranjith.palle@covasant.cm Connect with me on LinkedIn – I’d love to stay in touch, even if this isn’t the right time. Apply now or just start a conversation. The future of AI doesn’t wait — and neither should you.

We are looking for an experienced Senior Data Scientist to join our analytics team and lead high-impact projects. This role requires a deep understanding of statistical analysis, machine learning, and data-driven strategy, with a focus on developing and delivering innovative analytics solutions to meet complex business needs. The ideal candidate will have extensive hands-on experience, strong technical skills, and proven leadership capabilities to guide a team of data scientists and machine learning engineers. Key Responsibilities: Statistical Analysis & Use Case Identification: Utilize advanced statistical techniques to analyze large datasets, uncovering trends and patterns that support data-driven decision-making. Identify and define use cases to support business strategies, using insights from data to generate value and guide strategic direction. Data Analytics Maturity Assessment: Assess the organizations data analytics maturity, utilizing descriptive data analysis to evaluate current capabilities. Develop and propose use cases for advanced analytics, including diagnostic, predictive, and prescriptive models to enhance data utilization. Technical Expertise: Apply hands-on expertise in Python and data science, employing a variety of machine learning algorithms for tasks like regression, classification, natural language processing (NLP), and operational research. Implement, optimize, and maintain complex models, ensuring they are scalable and effective. Advanced Machine Learning: Leverage experience with large language models (LLMs) and Retrieval-Augmented Generation (RAG) models to build sophisticated applications, including chatbots and other NLP-based solutions. Communication & Presentation: Demonstrate excellent communication skills to convey complex analytics insights to stakeholders. Lead customer meetings, presenting analytical findings and recommending actionable, data-driven solutions. Solution Development: Develop solutions aligned with business objectives by translating business requirements into impactful, data-driven solutions. Foster a solution-oriented mindset within the team, focusing on delivering analytics solutions that enhance decision-making and drive value. Team Management: Lead a team of data scientists and machine learning engineers, providing mentorship, technical guidance, and project oversight. Ensure alignment of team projects with business goals, maintaining a focus on quality and timely delivery. Experience: At least 5-7 years of hands-on experience in data science, machine learning, and statistical analysis. Proven track record in managing and mentoring a team of data scientists and engineers. Extensive experience with Python and essential libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Skills: Strong knowledge of machine learning techniques, including regression, classification, NLP, and operational research. Experience with deep learning, LLMs, and RAG models for advanced applications like chatbot development is highly desirable. Exceptional problem-solving skills, with an emphasis on delivering actionable business insights. Excellent communication, presentation, and interpersonal skills. Ability to work both independently and collaboratively in a fast-paced, dynamic environment.

Hiring: AI Engineer (6+yrs) Bengaluru | Full-time Were looking for an AI Engineer to lead initiatives across AI Chatbots , RPA , AI Recommendation Engines and Business Process Automation . Responsibilities: Build & deploy AI chatbots (Dialogflow, Rasa, RAG, etc.) Automate processes with RPA tools (UiPath, AA, Blue Prism) Design recommendation engines using ML/DL Create autonomous AI agents & business automation workflows Deploy models via AWS, Azure, or GCP Ensure AI solutions follow compliance & ethical standards Collaborate with product & tech teams to deliver scalable AI solutions Experience in working with RESTful APIs, microservices, and AI frameworks. Required Skills & Qualifications: 6+ years in AI/ML, NLP, and automation Strong in Python (preferred), Java, or C++ Hands-on with TensorFlow, PyTorch, Scikit-learn Cloud experience: AWS, Azure, or GCP Skilled in RPA tools, big data, APIs, and system integration Excellent communication and leadership abilities Preferred Qualifications: Experience in implementing Generative AI solutions (GPT, Llama, BERT, etc.). Knowledge of edge AI and embedded AI solutions.

Responsibilities: Design, develop & test chatbots using Conversational AI, Dialogflow & Amazon Lex. Collaborate with cross-functional teams on bot integration & optimization. Here’s a tailored job description for a Conversational AI Developer with Analytics focus—perfect for roles that blend natural language tech with data-driven insights: Job Title: Conversational AI Developer & Analytics Specialist Job Summary We’re seeking a skilled developer to design, build, and optimize conversational AI systems—chatbots, voice assistants, and virtual agents—while leveraging analytics to enhance user experience and business outcomes. You’ll work at the intersection of AI, NLP, and data science to create intelligent, adaptive, and insightful conversational interfaces. Key Responsibilities Design and develop conversational agents using platforms like Dialogflow, Amazon Lex, Rasa, or Microsoft Bot Framework. Integrate AI solutions with backend systems, APIs, and databases. Implement NLP and NLU models to improve intent recognition and contextual understanding. Analyze user interaction data to identify trends, optimize flows, and improve engagement. Collaborate with UX designers, data scientists, and product managers to align AI behavior with user needs. Monitor and fine-tune bot performance using analytics dashboards and A/B testing. Ensure compliance with data privacy and ethical AI standards. Required Skills Proficiency in Python, JavaScript, or Node.js. Experience with NLP libraries (spaCy, NLTK) and ML frameworks (TensorFlow, PyTorch). Strong understanding of analytics tools (e.g., Google Analytics, Power BI, or custom dashboards). Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines. Excellent problem-solving and communication skills. Preferred Qualifications 2–5 years of experience in conversational AI or chatbot development. Background in data science or analytics. Experience with LLMs and prompt engineering is a plus. If you’d like, I can help you tailor this for a specific company or role—or even turn it into a compelling LinkedIn summary. Want to go that route?

Role & responsibilities Develop and maintain AI-based solutions using Python. Design, develop, and deploy AI-driven applications with a focus on GenAI Chatbots & AI Agents. Implement GenAI Chatbots, including ingestion and query pipelines, using at least one cloud platform ( Azure, or GCP). Implement Agentic AI framework-based solutions. Develop data ingestion pipelines for efficient data processing and transformation. Ensure high data integrity and performance in AI-driven workflows. Deploy AI models on cloud platforms such as Azure, or GCP. Implement best practices for scalability, security, and cost optimization in cloud-based AI solutions. Conduct regular performance tuning, debugging, and troubleshooting of AI models and applications. Implement monitoring and logging mechanisms for AI-driven systems. Work closely with cross-functional teams, including data scientists, ML engineers, and software developers, to integrate AI solutions. Document technical specifications, workflows, and best practices for AI development. Stay updated with the latest advancements in GenAI, Agentic AI technologies to bring innovation into the organization. Preferred candidate profile Extensive experience in AI software development with strong proficiency in Python. Hands-on experience with GenAI, Agentic AI. Experience in developing Generative AI chatbots, Agentic AI frameworks including ingestion pipelines, query pipelines, and Retrieval-Augmented Generation (RAG) using at least one cloud platform. Solid understanding of machine learning techniques and algorithms. Strong knowledge of data structures, algorithms, and software design principles. Healthcare domain experience is a plus.

Build & scale APIs with FastAPI/Django Work on LLMs, LangChain, AutoGen Design RAG, agent workflows, vector DBs Collaborate with AI/product teams Cloud, Docker, React are a plus Fast growth & real AI product work

Hope youre doing well.. As discussed, please find Job details and Description below Mandaoty skills - Java +AI (Gen AI, Python, java,spring boot, microservice,Chatbot development) Experience 8 + Years Location PAN India ( Hybrid-2 WFO ) Responsibilities: Design and implement new services, features and enhancements, contributing to our high-scale tools and services. Collaborate with various stakeholders, including product management, analysts, and data engineers. Develop well-architected, elegant software solutions with a passion for excellence. Perform and Participate in peer code reviews. Provide and receive constructive feedback. Stay up-to-date with emerging technologies and industry trends Qualifications Experience in backend development. Strong proficiency in Java and Spring framework. Hands-on experience building web applications, databases, and microservices at large scale. Excellent communication skills in English, both verbally and written. Experience with AWS . Excellent problem-solving skills and ability to work independently. You are flexible in your working hours by working with the US on a semi-regular basis. You have the ability to quickly learn new technologies and methodologies. Must have exp on AI/ML . Hands-on experience with Automation (preferred Workato) Hands-on experience with Phyton development

Role & responsibilities: Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, and Dialogflow CX. Craft clean, efficient, and maintainable code adhering to industry best practices and standards. Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem. Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations. Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs. Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement. Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development. Preferred candidate profile: 4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework. Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI. Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities. Solid understanding of Google as a Software-as-a-Service platform. Experience with Azure Composer Bots. Proven troubleshooting and analytical skills in complex, distributed environments. Familiarity with SQL and experience working with relational databases. Experience integrating web services into applications. Proficient in Agile and Scrum development methodologies. Bachelors degree in a technology-related field or equivalent experience.

As an AI Automation Intern , you will support the implementation and optimization of AI-powered workflows and automations across departments including lead generation, client onboarding, talent sourcing, and learning platforms. This is a hands-on role perfect for those excited about using automation to solve real business problems. Key Responsibilities : Automation Strategy & Implementation Assist in designing and implementing workflow automations using tools like Zapier, Make (Integromat), n8n, ChatGPT APIs, and Notion AI Automate repetitive tasks across BD, Recruitment, Academy, CXO onboarding, and Marketplace workflows Support WhatsApp + Email funnel integrations using tools like WATI, Twilio, or WhatsApp Cloud API Platform & Data Integrations Help connect front-end forms (Typeform, Zoho, etc.) to CRM systems (HubSpot, Zoho CRM) Set up Airtable/Google Sheets workflows for lead capture, resume sorting, and academy applications Assist in syncing data between Teachable/Graphy, Notion, and candidate dashboards AI Enablement Tasks Create and refine ChatGPT prompts for use in: Email outreach Social media scripting Resume screening Client onboarding flows Support in developing prompt banks and automation libraries Testing & Documentation Build internal documentation for each automation created Regularly test and troubleshoot automation failures Create walkthroughs for non-tech teams to manage automations post-deployment . Who Can Apply Final year students, fresh graduates, or women returning to work with tech interest Prior experience in any automation tool is a plus (even self-taught) Comfortable using Notion, Google Suite, Zapier, and basic APIs Willing to learn new tools quickly and take ownership of mini-projects Skills Youll Learn Real-world automation and process optimization across business verticals Use of AI tools like ChatGPT, Midjourney, Claude, etc. in business settings CRM workflows, API testing, and AI prompt engineering Building job-automation libraries for B2B and B2C systems Growth Path High-performing interns may transition into: AI Workflow Specialist (Remote Ops) Automation Manager – Academy & Marketplace Product Operations Associate

. Exposure in handling Python, Java and R,Keras or PyTorch,AI tools,Asp,vb,ado,mvc,sql,css platforms, and libraries to support project requirements. . Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). . As a Data Eng, responsibilities will include web scrapping, manage distributed data processing, and develop robust data pipelines. . As an ML Eng, responsibilities will include training,monitoring,and evaluating state -of-the-art speech models.Data Science & Machine Learning: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, OpenCV, NLTK, Matplotlib Jupyter Notebook, Anaconda, Power BI, Tableau, Apache Spark (Intro) AI & Emerging Technologies: Computer Vision, NLP, Chatbot Development, Recommendation Systems OpenAI, Hugging Face Transformers, Google Vision API.

The Opportunity: We are seeking a talented and experienced Senior AI Engineer to play a pivotal role in developing and enhancing our conversational AI capabilities across multiple modalities (text, voice/telephony) and building intelligent agents to drive workflow automation. You will work closely with our Director of AI Engineering, product managers, and other engineering teams to bring our AI vision to life, primarily focusing on fine-tuning off-the-shelf Large Language Models (LLMs) and developing agentic systems for end-users (members, CBO staff, healthcare providers). This is a unique opportunity to apply your AI expertise to solve meaningful problems in the social and healthcare space, directly impacting people's lives. What You'll Do: Conversational AI Development & Fine-Tuning (Text & Voice): Lead the fine-tuning, evaluation, and deployment of pre-trained LLMs (e.g., Gemini, GPT series, open-source models) to create natural, empathetic, and effective conversational experiences for various user interactions via text-based channels (chat, SMS) and voice-based telephonic systems (IVR chatbots). Develop and implement strategies for data collection, preparation, and augmentation to support model fine-tuning and continuous improvement for both text and voice modalities. Design and implement robust evaluation frameworks to measure conversational AI performance, including metrics for accuracy, fluency, empathy, task completion, and call handling efficiency for telephonic agents. Work on prompt engineering, context management, and dialogue flow design to optimize conversational AI interactions across channels. Integrate and manage speech-to-text (STT) and text-to-speech (TTS) services for telephonic AI solutions. Agentic System Development: Design, build, and deploy AI agents that can reason, make decisions, and take actions to automate and optimize key workflows within the platform (e.g., intelligent referral initiation, proactive follow-ups, task management assistance). Develop agents capable of interacting with internal platform APIs, external data sources, and potentially third-party tools to achieve their goals. Explore and implement techniques for agent planning, tool usage, and multi-step reasoning. Collaboration & Technical Leadership: Collaborate closely with the Director of AI Engineering to define AI strategy, architecture, and technical roadmap for conversational AI and agentic systems. Partner with Product Managers to understand user needs and translate them into technical requirements for AI features. Work with platform and application engineers to integrate AI models and agents into the broader ecosystem. Mentor junior engineers and contribute to building a strong AI engineering culture. Stay up-to-date with the latest advancements in LLMs, conversational AI (text and voice), agent-based systems, and MLOps. MLOps & Productionization: Contribute to the development and maintenance of our MLOps infrastructure for training, deploying, monitoring, and iterating on AI models and agents in production. Ensure AI systems are scalable, reliable, and maintainable. Back-end Development: Solid understanding of back-end development principles and experience building or integrating with APIs (e.g., RESTful services) to connect AI models and agents with broader application systems. Familiarity with database technologies (SQL and/or NoSQL) and practical experience in how AI systems interact with data storage and retrieval for training, inference, and logging. What You'll Bring: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 5+ years of hands-on experience in AI/ML engineering, with a significant focus on Natural Language Processing (NLP) and conversational AI. Demonstrable experience developing and deploying AI-powered telephonic chatbots or Interactive Voice Response (IVR) systems, including integration with STT/TTS technologies. Proven experience fine-tuning and deploying Large Language Models (LLMs) for specific tasks and domains. Strong understanding of model architectures, training techniques, and evaluation metrics. Demonstrable experience designing and building AI agents or systems that exhibit autonomous behavior, decision-making, and/or tool usage. Proficiency in Python and common AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex). Experience with cloud platforms (GCP preferred, AWS/Azure acceptable) and their AI/ML services (e.g., Vertex AI, SageMaker, cloud telephony APIs). Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and CI/CD for ML. Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to translate complex technical concepts to non-technical stakeholders. Proactive, self-starter with a passion for building impactful AI solutions. Nice to Haves: Experience working in the healthcare or social care domain. Familiarity with data privacy and security considerations in regulated environments (e.g., HIPAA). Experience with specific telephony platforms or APIs (e.g., Twilio, Vonage, Google Dialogflow CX). Contributions to open-source AI/ML projects.

AI Python Developer: Job Description About US We're a brand-new company with a bold vision to revolutionize through innovative AI solutions in globally serving niche customers. As a startup, we're building our team from the ground up, and that means you'll have an unparalleled opportunity to make a significant impact from day one. You won't find layers of bureaucracy here, just a passionate and agile environment where your ideas are valued and your contributions directly shape our product's development. We're looking for a talented and driven AI Python Developer who thrives in a dynamic, remote setting and is excited to be a foundational member of our team. This is your chance to not just build a chatbot, but to help build a company. If you're eager to take ownership, embrace challenges, and contribute to something truly impactful, we encourage you to apply. What will you do? Designing and developing software applications using Python and C#. Integrating AI and machine learning models into applications using Python and performing integrations with C#. Developing back-end components using Python and potentially interacting with front-end UI/UX using C#. Collaborating with product manager, onsite client coordinator and if need with the client as well. Debugging, testing, and optimizing application performance and code quality. Documenting technical specifications and best practices. Working with cloud platforms and services (e.g., AWS, Azure) for deployment and scaling. Who are you? An experienced programmer with strong knowledge of programming preferably in Python including frameworks like Django or Flask, and libraries like Pandas and NumPy. Experience with AI and machine learning models, algorithms, and frameworks. Knowledge of C# programming language, including .NET Framework or .NET Core (Nice to have but not mandatory) Experience with testing and debugging tools and techniques. Knowledge of database systems, including SQL and NoSQL databases. Familiarity with cloud platforms and services and experience with version control systems like Github. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Location: Remote

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Key Responsibilities: Design and develop chatbot solutions using platforms like Dialogflow, Microsoft Bot Framework, Rasa, or similar. Integrate chatbots with messaging platforms (e.g., WhatsApp, Facebook Messenger, Slack, web chat). Implement NLP and machine learning techniques to improve chatbot understanding and responses. Collaborate with UX/UI designers to create engaging conversational flows. Connect chatbots to backend systems, APIs, and databases. Monitor chatbot performance and continuously improve based on analytics and user feedback. Ensure security, scalability, and reliability of chatbot solutions. Required Skills: Proficiency in programming languages such as Python, JavaScript, or Node.js. Experience with chatbot development platforms (Dialogflow, Rasa, IBM Watson, etc.). Understanding of NLP concepts and tools (spaCy, NLTK, BERT, etc.). Familiarity with RESTful APIs and webhook integration. Knowledge of cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving and communication skills.

Job Description: We are seeking an experienced Generative AI Developer with expertise in Azure cloud services and a Java-based backend to join our cutting-edge AI team. You will be responsible for designing and deploying intelligent systems that combine RAG (Retrieval-Augmented Generation), prompt engineering, and document processing pipelines. Your work will contribute to two major initiatives: a RAG-based Document Intelligence System and an Embedded Knowledge Chatbot. Key Responsibilities: Design and implement document ingestion workflows using Java and Azure services. Develop LLM-prompt pipelines to extract structured data (JSON) from unstructured documents. Build automation scripts for form population and data validation. Implement JSON schema validation and transformation modules. Integrate user review interfaces and handle final data submission workflows. Ingest enterprise documentation into Azure-based vector stores for semantic retrieval. Develop chat-based interfaces to allow users to query internal knowledge using natural language. Design backend services using Java that interface with RAG-powered LLMs via LangChain or similar frameworks. Implement conversational workflows that deliver context-aware responses. Required Skills & Technologies: Programming: Strong experience in Java (Spring Boot or similar frameworks). AI Integration: Experience working with Large Language Models (LLMs) in a RAG setup. Prompt Engineering: Ability to craft prompts and chain logic to drive accurate responses from LLMs. Data Extraction: Expertise in document parsing, OCR, and JSON generation. Form Automation: Experience with auto-filling and validating data in dynamic web forms. Vector Search & Retrieval: Familiarity with vector databases (e.g., Azure Cognitive Search, FAISS) and embedding models. Cloud Platform: Proficient in Microsoft Azure, including services like Azure Functions, Azure OpenAI, Azure Blob Storage, and Azure Cosmos DB. NLP/NLU: Solid foundation in Natural Language Understanding techniques and tokenization. Integration: Experience with backend APIs, chat UI frameworks, and event-driven architectures. Nice to Have: Knowledge of LangChain, Semantic Kernel, or similar RAG orchestration tools (in a Java-compatible context). Experience with DevOps pipelines on Azure (CI/CD). Understanding of enterprise security and compliance for AI solutions. Why Join Us? * Be at the forefront of applied generative AI in real-world enterprise applications. * Work in a fast-paced, innovative team solving complex problems with modern AI tools. * Opportunity to influence AI architecture and decision-making in a growing company. Application Process: Please submit your resume and a brief statement highlighting your relevant AI and Azure experience, especially on Java-based projects involving RAG, LLMs, and document intelligence. How to Apply: Interested candidates are encouraged to send their updated resume along with a cover letter highlighting their relevant experience to in_jobs@lucidtechinc.com . Please include the following details in your email: Current location Current CTC Expected CTC Notice Period Join Our Team! Be part of a dynamic organization dedicated to excellence in recruitment and client satisfaction. We look forward to welcoming you to Lucid Technologies Inc. Thanks & Regards, HR Department Lucid Technologies Inc. Email: in_jobs@lucidtechinc.com