328 Rasa Jobs - Page 3

You are a skilled and innovative AI Developer with hands-on experience in OpenAI APIs, HuggingFace Transformers, and prompt engineering. Your main responsibility will be to design, develop, and deploy intelligent systems for text, image, and code generation by utilizing modern AI technologies and large language models (LLMs). In this role, you will play a crucial part in constructing conversational agents, generative pipelines, and integrating AI into real-world web applications. You will be tasked with utilizing OpenAI APIs such as ChatGPT and DALLE for advanced natural language and image generation tasks. Additionally, you will implement and fine-tune pre-trained models using HuggingFace Transformers. Your role will involve designing optimal prompts for LLMs to enhance model output accuracy and relevance. You are expected to develop and integrate embedding-based search systems employing OpenAI Embeddings, FAISS, or Pinecone. Moreover, you will be responsible for building scalable content generation pipelines for text, image, and code automation. Your tasks will also include fine-tuning of LLMs using LoRA, PEFT, and HuggingFace Trainer APIs, applying NLP techniques with tools like spaCy, NLTK, and Transformers, and developing intelligent chatbots using platforms like Rasa, Dialogflow, or Microsoft Bot Framework. You will integrate AI solutions into web applications using React.js and manage user session and context flow to provide personalized and coherent conversational experiences. Additionally, you will handle data preprocessing using Pandas, regex, and custom scripts, and utilize scikit-learn, XGBoost, and LightGBM for classical ML tasks when necessary. For this role, you are required to hold a Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field. You should have proven experience with OpenAI GPT-based models and image generation APIs, expertise in Prompt Engineering and model behavior optimization, as well as solid experience with embedding-based search and vector databases. Strong command over React.js and JavaScript for frontend-AI integration, a good understanding of ML frameworks and model deployment workflows, and excellent communication and problem-solving skills are essential. Preferred qualifications include experience deploying AI models in production environments, familiarity with LangChain or similar LLM orchestration tools, and previous work on projects involving Generative AI, conversational AI, or custom LLM training.,

About FriskaAi FriskaAi is an intelligent health management platform revolutionizing preventive care, chronic disease management, and population health through AI-driven insights. We are part of HFWL Company, committed to transforming healthcare through innovation, compassion, and cutting-edge technology. We are building next-generation interactive health interfaces , including chatbot-driven care assistants and avatar-based user experiences , to enhance engagement, personalization, and trust in digital health journeys. Role Overview We are looking for a Frontend Developer with expertise in chatbot interfaces and avatar-based integrations to create immersive, interactive, and scalable web/mobile experiences . You will collaborate with AI, design, and product teams to bring human-like conversational and visual engagement to our users through advanced web technologies. Key Responsibilities Develop responsive and high-performance frontend interfaces (web & mobile) for chatbots and avatars. Integrate AI-driven chatbot APIs (LLMs, conversational flows, voice-enabled interactions). Implement 3D/2D avatar rendering, animation, and real-time interactions using WebGL, Three.js, or similar libraries. Collaborate with AI engineers to implement text-to-speech (TTS), speech-to-text (STT), and emotion-based avatar reactions . Work with design teams to deliver intuitive UI/UX for conversational health assistants . Ensure cross-browser and cross-platform compatibility with a focus on performance and accessibility (WCAG standards) . Contribute to CI/CD pipelines and modular frontend architecture (React, Next.js, Vue, or similar). Requirements Bachelor’s or Master’s degree in Computer Science, Human-Computer Interaction, or related field . 3+ years of frontend development experience (React, Next.js, or Vue preferred). Hands-on experience integrating chatbots or conversational UIs . Knowledge of WebGL, Three.js, Babylon.js, or similar frameworks for avatar/3D rendering . Familiarity with TTS/STT services (Azure Cognitive Services, Amazon Polly, Google Dialogflow, OpenAI APIs) . Strong understanding of RESTful APIs, WebSockets, and event-driven architectures . Experience in responsive design and performance optimization for web/mobile apps. Nice to Have Experience with avatar-based platforms (Ready Player Me, Inworld, Animaze, or similar) . Knowledge of LLM-based chatbot frameworks (LangChain, Rasa, Botpress, or custom) . Familiarity with XR/AR integrations (WebXR, ARKit, ARCore) . Background in digital health, wellness, or patient engagement solutions . What You’ll Gain Build next-gen conversational health assistants with real-time avatars . Collaborate with AI/ML teams, healthcare experts, and UX designers . Shape interactive health experiences for millions of potential users worldwide .

As an Enterprise Architect, you will own the end-to-end technology blueprint, spanning backend platforms (Java/.NET, Python), frontend frameworks (React, Angular, Node.js), real-time data streaming, and AI-driven/agentic services. You will translate business objectives into an actionable, multi-year technology and AI roadmap; ensure that every layer (application, data, infrastructure, security, AI, agentic agents) is aligned and future-proof; and act as the bridge between C-suite strategy, product, sales engineering (presales), and delivery teams. Key Deliverables & Success Metrics Architecture & AI Roadmap Deliver a three-year, multi-domain blueprint covering cloud, data, integration, AI/ML, and agentic-AI agents Stand up an AI & Agentic Architecture Council (quarterly) driving adoption of generative AI, conversational agents, and MLOps standards AI-First Proof-of-Concepts & Agentic Demos Lead 4–6 POCs/year around AI/ML and agentic use cases (e.g., LLM-powered assistants, workflow orchestration bots) Measure POC success by model accuracy (+15% lift), inference latency (2× faster), and business KPIs (reduced support tickets, increased demo‐to‐close rate) Team Enablement & AI Mentorship Launch a monthly “AI & Agentic Deep Dive” series to upskill engineers, data scientists, and presales consultants on ML frameworks (TensorFlow, PyTorch), conversational-AI patterns, and agent orchestration Embed AI/agentic design patterns into standard playbooks (prompt engineering, feedback loops, multi-agent coordination) GTM & Presales Enablement Collaborate with Sales Engineering to craft technical demos, solution blueprints, and ROI analyses for enterprise prospects Support bid responses and RFPs with architecture diagrams, security/compliance narratives, and scalability proof points Resilience & Responsible AI Define and track system and model health metrics (system uptime ≥99.9%; model drift ≤5% per quarter) Lead “AI fairness & ethics” reviews, ensuring bias detection, explainability, and compliance with GDPR/ADA Extended Responsibilities: A. Strategic Architecture & Agentic-AI Planning Enterprise Blueprint: Evolve the canonical reference architecture to include AI/ML pipelines, feature stores, inference-at-the-edge, and autonomous agent orchestration Cloud & Hybrid AI: Architect cloud-native AI/agentic services (SageMaker, Azure ML, Vertex AI Agents), hybrid inference runtimes, and GPU/TPU provisioning strategies Standards & Policies: Author AI governance policies—data privacy, model validation, versioning, rollback strategies, and agent safety guardrails B. Solution & AI-Driven Design Core Platforms: Architect mission-critical microservices on Java/Spring Boot, .NET Core, and Python (Django, Flask, FastAPI) with embedded AI inference and agentic endpoints (REST/GRPC) Frontend & Full-Stack: Design rich client applications using React, Angular, or Vue.js; backend APIs with Node.js/Express or Python frameworks; implement CI/CD for full-stack deployments Data & Streaming: Design streaming ETL with Kafka + Spark/Flink feeding feature stores, real-time scoring engines, and agent event buses MLOps & AI Ops: Define CI/CD for models (training, validation, deployment), automated retraining triggers, canary and shadow deployments, plus agent lifecycle management C. Governance & Responsible AI Architecture Reviews: Include an “ML & agentic risk” dimension in every design review (performance, security, bias, unintended behaviors) Security & Compliance: Partner with InfoSec to secure code, model artifacts, and agent logic (encryption, access controls, audit trails); vet third-party AI/agentic services FinOps for AI: Implement cost-optimization for GPU/compute, track ROI on AI and agentic initiatives (cost per model endpoint, agent-handling cost per transaction) D. Leadership, GTM & Collaboration Cross-Functional Engagement: Work closely with Product, UX, Sales Engineering, and Security to define AI/use-case roadmaps, demo strategies, and success criteria Presales Coaching: Mentor Solutions Architects and Sales Engineers on technical storytelling, POC/demo best practices, and objection handling around AI and agentic capabilities Community Building: Sponsor internal hackathons, open-source contributions (e.g., agent frameworks such as AutoGen, LangChain), and external speaking opportunities E. AI & Agentic POC, Innovation, and GTM Rapid Experimentation: Prototype generative AI agents, semantic search with vector databases, autonomous workflow bots, and conversational-AI pipelines Benchmarking & Optimization: Lead performance profiling (JVM/CLR/Python interpreters), model quantization, optimization for CPU-only edge deployments, and low-latency agent responses GTM Support: Develop presales playbooks, ROI calculators, and competitive battlecards for AI and agent-driven offerings Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 15+ years delivering enterprise-grade solutions with significant AI/ML and agentic-AI components Certifications (highly desirable): TOGAF 9.2, AWS Solutions Architect – Professional, Azure Solutions Architect Expert, Certified Kubernetes Administrator (CKA), TensorFlow Developer Certificate Mandatory Skills & Expertise Languages & Frameworks: Backend: Java (JEE, Spring Boot), .NET Core/Framework, Python (Django, Flask, FastAPI) Frontend & Full-Stack: React, Angular, Vue.js, Node.js/Express, Next.js/Nuxt.js APIs & Microservices: REST, gRPC, GraphQL, serverless functions (AWS Lambda, Azure Functions) Streaming & Real-Time Data: Apache Kafka (Streams, Connect), Pulsar, Spark/Flink, event sourcing/CQRS Cloud & AI Platforms: AWS (SageMaker, Lambda, ECS/EKS), Azure (ML, Functions, AKS), GCP (Vertex AI, Cloud Functions), Terraform, CloudFormation, Azure ARM Containers & Orchestration: Docker, Kubernetes (EKS/AKS/GKE), Helm, service meshes (Istio, Linkerd) Data Engineering & Feature Stores: Spark, Flink, Kinesis, S3/HDFS; data warehousing (Redshift, BigQuery, Snowflake); feature stores (Feast, Tecton) AI/ML & Agentic Lifecycle: TensorFlow, PyTorch, MLflow, Kubeflow, SageMaker Pipelines; conversational-AI frameworks (Rasa, Bot Framework); agentic frameworks (LangChain, AutoGen) Responsible AI & Ethics: Bias detection, explainability (SHAP, LIME), privacy-preserving ML (DP, federated learning), GDPR/PCI-DSS fundamentals Distributed Systems & Performance: CAP theorem, consensus (Raft/Paxos), JVM/CLR/Python tuning, algorithmic complexity analysis, network diagnostics GTM & Presales: Hands-on experience with technical presales, RFP/RFI responses, demo/PITCH deck creation, ROI analysis, competitive positioning Leadership & Collaboration: Architecture governance, technical mentorship, stakeholder management, workshop facilitation, cross-functional team leadership. Preferred Attributes : Domain expertise in regulated industries (finance, healthcare, telecommunications) Active open-source contributions to AI/agentic or frontend/backend frameworks Proven track record driving agile transformations, DevSecOps, and responsible AI adoption at scale

Bangalore,Karnataka,India Job ID 771697 Join our Team About this opportunity: Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson’s Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. What you will do: Define and implement model validation processes and business success criteria in data science terms. Rapidly develop and iterate minimum viable solutions (MVS) that address enterprise needs. Build MLOps pipelines for continuous integration, continuous delivery, validation, and monitoring of AI/ML models. Design and implement effective big data storage and retrieval strategies (indexing, partitioning, etc.). Develop and maintain APIs for AI/ML models and optimize data pipelines. Lead end-to-end ML projects from conception to deployment. The skills you bring: 4–6 years of hands-on experience in machine learning, AI, and data science. Strong knowledge of ML frameworks (Keras, TensorFlow, Spark ML, etc.). Experience with containerization & orchestration (Docker, Kubernetes, Helm charts). Hands-on expertise with workflow orchestration tools (Kubeflow, Airflow, Argo). Strong programming skills in Python and experience with C++, Scala, Java, R. Experience in API design & development for AI/ML models. Familiarity with AWS services (Data Lake, Athena, SageMaker, OpenSearch, DynamoDB, Redshift). Strong understanding of self-hosted deployment of LLMs on AWS. Experience in RASA, LangChain, LangGraph, LlamaIndex, Django, Open Policy Agent. Expertise in monitoring tools like Datadog for K8S environments. Educational Qualifications B.Tech/B.E. in Computer Science, MCA, or a Master’s in Mathematics/Statistics from a top-tier institute.

You are a skilled and motivated AI/ML Chatbot Developer with Trainer experience in building conversational agents and delivering effective training. Your primary responsibilities will include designing, developing, and optimizing chatbot solutions using natural language processing (NLP), machine learning (ML), and large language models (LLMs). Additionally, you will play a key role in educating end-users, internal teams, or clients on chatbot functionality, usage, and best practices. Your key responsibilities will involve: - Developing AI models for Chatbots - Designing, developing, and deploying AI/ML-powered chatbots using platforms like Rasa, Dialogflow, Microsoft Bot Framework, or custom LLM-based solutions. - Fine-tuning and integrating large language models for domain-specific applications. - Creating NLP pipelines for intent recognition, entity extraction, and contextual understanding. - Integrating chatbots with third-party systems like CRM, ERP, helpdesk tools, and APIs. - Monitoring and improving chatbot performance through user feedback and analytics. - Delivering technical and non-technical training sessions for users, support teams, and stakeholders. - Creating documentation, user guides, and training materials for chatbot usage and maintenance. - Conducting workshops or onboarding sessions to support chatbot adoption and success. - Collaborating closely with product managers, designers, and data scientists to define chatbot features and goals. - Collaborating with QA teams to test bot functionality and usability. - Providing technical support and guidance post-deployment. - Demonstrating proficiency in Python, JavaScript, or other relevant programming languages, Familiarity with NLP tools/libraries such as OpenAI, or LangChain, and a strong understanding of machine learning fundamentals and model evaluation. - Having experience in delivering technical training or user enablement programs.,

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills. Location - Remote, Hyderabad,Ahmedabad,pune,chennai,kolkata.

10+ years of strong Python development experience, who can lead the team technically and provide solutions Should come up with Architectural solutions and best practices RASA framework and BOT development experience is key Hands-on experience in Python, API Framework Knowledge of Django, Web Services, Angular, Javascript knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Locations : Mumbai, Delhi NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location : - Remote Mandatory Key Skills BIT Bucket,Java,GIT,Docker,API Framework,JIRA,RASA framework,Python development,Python*

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Mandatory Key Skills API Framework,RASA framework,Docker,GIT,BIT Bucket,JIRA,Java,Agile,Python*

10+ years of strong Python development experience, who can lead the team technically and provide solutions Should come up with Architectural solutions and best practices RASA framework and BOT development experience is key Hands-on experience in Python, API Framework Knowledge of Django, Web Services, Angular, Javascript knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location: Delhi NCR,Bangalore,Hyderabad Mandatory Key Skills GIT,BIT Bucket,JIRA,Docker,Django,Web Services,Angular,JavaScript,BOT development,Python*

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Mandatory Key Skills BIT Bucket,Java,GIT,Docker,API Framework,Agile environment,JIRA,RASA framework,Python*

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad Keywords Python Lead,Python development,BOT development,Microservices Design Architecture,BIT Bucket,API Framework,RASA framework,Docker,GIT,Python* Mandatory Key Skills Python Lead,Python development,BOT development,Microservices Design Architecture,BIT Bucket,API Framework,RASA framework,Docker,GIT,Python*

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location-Remote,Delhi NCR , Bangalore , Chennai , Pune , Kolkata , Ahmedabad , Mumbai , Hyderabad

10+ years of strong Python development experience, who can lead the team technically and provide solutions Should come up with Architectural solutions and best practices RASA framework and BOT development experience is key Hands-on experience in Python, API Framework Knowledge of Django, Web Services, Angular, Javascript knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location- Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderaba Mandatory Key Skills Python development,Architectural solutions,RASA framework,BOT development,API Framework,Django,Web Services,Angular,Javascript,Docker,Python.

10+ years of strong Python development experience, who can lead the team technically and provide solutions Should come up with Architectural solutions and best practices RASA framework and BOT development experience is key Hands-on experience in Python, API Framework Knowledge of Django, Web Services, Angular, Javascript knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Python development, Architectural solutions and best practices, RASA framework, BOT development experience , API Framework, Django, Web Services, Angular, Javascript, Docker, Containerizations and Monolithic and Microservices Design Architecture, GIT, BIT Bucket, JIRA, Java, Agile environment , Agile practices, Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad Mandatory Key Skills RASA framework,BOT development,API Framework,Django,Web Services,Angular, Javascript,JIRA,Java,Python development* Mandatory Key Skills Python development,Javascript,JIRA,Java,API Framework,Django,Web Services,Angular,Python.

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Link to Apply is at the bottom of the JD. Please read the requirements carefully before applying.About LimeChatWhy this role mattersOur Product team is scaling quickly. As an Associate Product Manager , you’ll keep the engine humming by writing crisp docs, coordinating demos, and shepherding custom bot builds—from brief to ship. Your work frees senior PMs to focus on strategy while ensuring nothing slips through the cracks.ResponsibilitiesOwn product documentation: Maintain release notes, API guides, and internal wikis so everyone—from Sales to Support—has the latest intel.Draft feature PRDs: Translate fuzzy ideas into clear problem statements, user stories, and acceptance criteria.Build demo bots: Configure sandbox flows in our bot builder to wow prospects and investors.Client onboarding liaison: Gather requirements for custom implementations, align timelines, and manage feedback loops.Oversee custom bot development: Work with Design & Engineering to scope, track, and deliver bespoke solutions on time.Market & user research: Conduct quick competitor teardowns and user interviews to inform backlog prioritisation.Metrics & QA: Define success metrics, run smoke tests, and monitor dashboards post-launch.Must-havesEarly-career product exposure: 0–2 yrs full-time or 2+ internships in product / consulting / engineering.Docs that sing: Provide a link or PDF sample of a PRD, API spec, or product wiki page you authored .Sprint ownership: Led ≥2 Agile sprints in Jira/Linear—attach a brief summary in your résumé or application form.Data literacy: Can demo VLOOKUP, pivot tables, and run a basic SELECT … LIMIT 10 in SQL.Stakeholder translation: List one project where you gathered client requirements and shipped a feature within deadline.Prototype & demo skills: Comfortable building a bot or API mock (Dialogflow / Postman / LangChain) and presenting it live.Nice-to-haveHands-on with no-code/chatbot builders (Dialogflow CX, Rasa, LangChain agents, WhatsApp Business APIs).Basic scripting in Python or JS for quick automations or API pokes.Familiarity with UX tools (Figma, Whimsical) and mapping customer journeys.Exposure to SaaS onboarding metrics (activation, time-to-value, NPS, NRR).Client-facing experience—requirements workshops, UAT support, or implementation projects.Certifications in product/agile (CSPO, AIPMM, PSM) or project management (PMP).Past work with analytics stacks (Mixpanel, Amplitude, Looker Studio) to track feature usage.Growth PathBenefitsUnlimited PTO / sick leave (minimum 15 days encouraged)Subsidised fitness membershipFree lunch and snacksAnnual company retreatBring your dog/cat to work 🐶How to ApplyDoes this role sound like a good fit? Apply here Choose “Associate Product Manager (APM)” in the dropdown.

Company Description RASA (Ramana Sunritya Aalaya) is a pioneering organization using theatre arts for holistic development. We transform education and community engagement through creative methodologies, fostering confidence, communication, and life skills. Our inclusive programs empower children and adults, blending culture, creativity, and learning to inspire personal growth and meaningful social impact. Role Description This is a part-time, on-site role for a Facilitator, female, ocated in Chennai. The Facilitator will be responsible for planning, organizing, and conducting theatre arts based skill activities and programs. They will engage participants, ensure smooth execution of sessions, and provide support to enhance participant experience. Additionally, the Facilitator will work closely with other team members to coordinate efforts and gather feedback to continuously improve the program offerings. Qualifications Strong organizational and planning skills Ability to engage and manage group dynamics effectively Excellent communication and interpersonal skills Experience in facilitating workshops, seminars, or group activities Adaptability and problem-solving skills Ability to work collaboratively with a team Experience in education, training, or similar fields is a plus Bachelor's degree Open minded approach to learning

Job Summary We are seeking a skilled Conversational AI Developer to design, build, and optimize AI-powered conversational solutions such as chatbots, voice assistants, and virtual agents. The ideal candidate will have strong expertise in Natural Language Processing (NLP), machine learning frameworks, and conversational design principles to deliver seamless, human-like customer experiences. Key Responsibilities Design, develop, and deploy conversational AI solutions across platforms (web, mobile, voice, messaging apps). Implement NLP, NLU, and NLG models for intent recognition, entity extraction, and context handling. Work with platforms such as Dialogflow, Rasa, IBM Watson Assistant, Microsoft Bot Framework, or Azure Cognitive Services . Collaborate with UX designers, product managers, and data scientists to ensure natural, user-friendly conversations. Continuously optimize models using machine learning techniques and user interaction data . Integrate conversational agents with back-end systems, APIs, and databases. Conduct testing (functional, regression, and usability) to improve performance and reliability. Stay up to date with the latest AI/ML advancements, conversational design best practices, and industry trends. Required Qualifications Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field . Hands-on experience with conversational AI frameworks (e.g., Dialogflow, Rasa, Botpress, Watson Assistant, Alexa Skills Kit). Strong programming skills in Python, JavaScript, or Java . Proficiency in NLP libraries/frameworks (e.g., spaCy, NLTK, Hugging Face Transformers, TensorFlow, PyTorch). Knowledge of RESTful APIs, webhooks, and cloud platforms (AWS, Azure, GCP). Experience with speech-to-text (STT) and text-to-speech (TTS) technologies is a plus. Strong problem-solving, debugging, and optimization skills. Preferred Skills Experience with multi-turn dialogue management and context retention . Understanding of prompt engineering and LLM-based assistants (e.g., GPT models). Familiarity with analytics tools to measure chatbot performance (e.g., user engagement, intent accuracy). Knowledge of DevOps practices for CI/CD in AI projects. Prior exposure to voice assistants, IVR systems, or customer service automation . Soft Skills Strong communication and collaboration skills. Ability to work in agile teams and manage multiple priorities. Analytical mindset with focus on user experience and business outcomes .

AI Developer – Voice-Based Interactive Systems (Full-Time) Remote | Flexible Working Hours | Immediate Joiners Preferred Do you believe in the power of voice to transform how we learn, engage, and solve problems? At Jobeyze , we're building human-like voice-based AI assistants that serve as virtual tutors, customer service agents, and career coaches. We’re looking for an AI Developer with hands-on experience in speech processing, conversational AI, and voice interaction systems to join our mission-driven team. Your Core Responsibilities Design and develop voice-based AI solutions for: Interactive tutors (personalized learning and Q&A) AI customer service agents Career coaching assistants Build and fine-tune conversational flows using large language models (e.g., GPT-4, Mistral) Integrate speech-to-text (STT) and text-to-speech (TTS) technologies such as Whisper, Google, ElevenLabs, or Azure Speech Implement natural-sounding dialogues and personality-driven responses to enhance user engagement Train, test, and deploy models for intent recognition, emotion detection, and response generation Collaborate with frontend developers to embed AI voice assistants into web and mobile interfaces Optimize for latency, scalability, and real-time voice interactions Ensure multilingual capability and accessibility features for broader user reach What We’re Looking For Proficiency in Python and frameworks such as Transformers (Hugging Face), LangChain, Rasa, or Haystack Experience working with STT/TTS engines like OpenAI Whisper, Google Speech, or ElevenLabs Familiarity with large language model integration, prompt engineering, and token optimization Strong understanding of dialogue management, context retention, and memory-driven conversations Experience working with vector databases, embeddings, and retrieval-augmented generation (RAG) Prior experience with chatbot platforms or voice assistant applications is highly preferred Familiarity with APIs, microservices, and cloud deployment (AWS or GCP preferred) Ability to collaborate closely with frontend teams to deliver a seamless user experience Passion for building emotionally intelligent, human-centered AI applications Why Join Us Work at the forefront of voice-AI innovation with real-world applications See your work directly impact thousands of jobseekers, learners, and businesses Help build systems that talk, think, and support — not just chat Competitive compensation with long-term growth opportunities Collaborate with a team that values innovation, autonomy, and ownership Enhance your professional profile with publicly visible AI features powering a live platform Apply Now Please send your resume, GitHub/portfolio link, and examples of any voice-based AI projects you’ve worked on. Job Types: Full-time, Part-time, Internship Pay: ₹15,824.09 - ₹51,561.77 per month

DESCRIPTION The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 10034 Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 5+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. - 3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment - 3+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9) PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences - Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills - Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills *Mandatory Key Skills BIT Bucket,JIRA,Java,Agile,BOT development,API Framework,RASA framework,Docker,GIT,Python*

Job Summary: We are looking for a skilled and product-focused AI Engineer to lead the end-to-end development and deployment of Conversational AI systems —both voice-based (phone calls) and chatbots . You will be responsible not just for building models, but also owning the full lifecycle of AI-driven communication products: from ideation and architecture to deployment, monitoring, and continuous improvement. This is a cross-functional role that requires strong technical expertise in AI/ML, NLP, and system design, along with a product mindset and execution capability. Key Responsibilities: Own the full product lifecycle of conversational AI tools—scoping, designing, building, testing, deploying, and maintaining solutions. Architect and implement voice bots and chatbots that interact naturally and contextually with users. Build and fine-tune NLP, NLU, LLMs, and RAG pipelines for voice and text interactions. Work with speech recognition (ASR) and text-to-speech (TTS) systems for real-time call automation. Integrate with telephony platforms (e.g., Twilio, Dialpad, Exotel) and messaging platforms (e.g., WhatsApp, Web, Messenger). Handle backend architecture, data flows, error handling, logging, performance monitoring, and latency optimization. Collaborate with product, design, and business teams to define and refine user flows and technical requirements. Deploy models in production using best practices in CI/CD, DevOps, and cloud platforms. Continuously monitor system performance, user feedback, and iterate based on data-driven insights. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related discipline. 3–6 years of experience in building and deploying production-grade AI/NLP applications. Proven experience in managing end-to-end AI product development —not just model-building. Strong programming skills in Python; experience with frameworks like PyTorch, TensorFlow, Hugging Face Transformers, LangChain. Solid experience with LLMs (e.g., GPT, Claude, Mistral) and deploying RAG-based architectures. Hands-on experience with voice tech : speech-to-text, TTS, telephony APIs, SIP/RTP protocols. Experience with cloud platforms (AWS, GCP, or Azure) and deployment pipelines (CI/CD, Docker, Kubernetes). Ability to write scalable, maintainable, and well-documented code. Strong understanding of backend systems and API integration. Nice to Have: Familiarity with chatbot frameworks (Dialogflow, Rasa, Botpress, etc.) Experience with vector databases (Pinecone, Weaviate, FAISS) and embeddings. Experience working in a fast-paced startup environment. Strong product thinking and ability to prioritize trade-offs between tech and business needs. Experience with analytics tools and observability platforms for real-time monitoring. What We Offer: Competitive compensation and ESOPs Opportunity to lead impactful products in the rapidly growing conversational AI space Flexible remote/hybrid work environment Autonomy, ownership, and support to bring your ideas to life Exposure to cutting-edge AI technologies and scalable systems How to Apply: Please submit your resume either on linkedin or email us at pkhanna@quantoneural.ai with the subject line: AI Engineer – Conversational AI

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad