9 Ai Agents Jobs

Job Title: Project Manager AI Agents (Sales, Marketing & Operations) Location: Remote / Hybrid (Melbourne-based preferred) Employment Type: Full-time About Traffic Radius Traffic Radius is a leading digital marketing agency leveraging AI-driven strategies to optimize SEO, PPC, social media, and marketing automation. We help businesses enhance their digital presence and achieve sustainable growth using data-driven marketing and AI-powered tools. Role Overview We are seeking a forward-thinking AI Project Manager to lead the planning, execution, and delivery of small to mid-sized AI agent projects across Sales, Marketing, and Operations . This role is ideal for someone with a strong grasp of digital marketing and a passion for leveraging AI technologies to automate and improve business processes. You will work closely with cross-functional teams including AI developers, digital marketers, sales strategists, and operations managers to deliver AI-powered solutions that drive performance and efficiency. Key Responsibilities Plan and manage end-to-end projects for building AI agents tailored to sales, marketing, and operational workflows. Collaborate with internal stakeholders to identify needs, define scope, and outline deliverables for AI agent implementation. Coordinate between development, marketing, and operations teams to ensure timely execution. Translate business goals into AI functionalities (e.g., AI appointment booking, CRM updates, automated outreach, reporting). Manage timelines, budgets, risks, and resources to ensure project success. Monitor AI agent performance, gather feedback, and iterate for optimization. Develop documentation, SOPs, and training materials for AI agent use across teams. Stay updated with the latest in AI tools, frameworks, and trends to suggest innovation opportunities. Skills & Qualifications Proven experience (3+ years) in project management , preferably in AI, SaaS, or digital marketing environments . Strong understanding of AI applications in sales, marketing automation, and business operations . Familiarity with tools like Zapier, OpenAI, CRMs (HubSpot, Zoho, etc.), Calendars, and automation platforms such as Make.com, n8n, and Relevance AI . Experience with SEO tools like Ahrefs and SEMrush, PPC automation tools such as Google Ads AI, and marketing analytics platforms. Excellent organizational, leadership, and communication skills. Ability to translate technical capabilities into practical marketing and business use-cases. Comfortable working in fast-paced, agile environments with multiple concurrent projects. Project management certifications (e.g., PMP, Scrum Master) are a plus. Why Join Traffic Radius? Be part of an AI-driven digital marketing agency shaping the future of online marketing. Work with cutting-edge AI-powered marketing and automation tools . Lead innovative projects that transform sales and marketing strategies. Join a dynamic and collaborative team focused on growth and innovation. Ready to lead the AI revolution in digital marketing? Apply now and make an impact with Traffic Radius.

3+ years of professional frontend development experience Strong skills in React, React Native, TypeScript, HTML, and CSS Experience building mobile and web apps with shared component libraries Required Candidate profile Develop frontend features in React (web) and React Native (mobile) • Build responsive dashboards, mobile tools, and planning interfaces for AI agents • Integrate geospatial visualizations

Job Title: Part-Time Data Scientist (Contract) Location: Gurgaon Experience Required: 6+ years Job Description: We are seeking an experienced and highly skilled Data Scientist/AI Developer for a part-time, contract-based position in Gurgaon. The ideal candidate will have extensive experience in Generative AI , Deep Learning applications, and Conversational AI systems , with a focus on creating innovative solutions using cutting-edge technologies. We are looking for a professional who can not only deliver exceptional results but also mentor team members, guide junior professionals, and help build and grow our AI/ML practice to new heights. Key Responsibilities: Develop and deploy advanced conversational AI systems and chatbots using the RASA framework . Integrate Large Language Models (LLMs) and Retrieval-Augmented Generation (RaG) techniques to enhance chatbot capabilities. Design and implement AI-driven solutions that align with client objectives, ensuring seamless performance and functionality. Build and optimize natural language processing models, including intent recognition , slot filling , and entity recognition . Collaborate with cross-functional teams to deliver scalable, cloud-based deployments and CRM integrations, such as Salesforce. Utilize frameworks and tools like LangChain , Google Dialogflow , OpenAI (LLaMA, GPT) , and Whisper ASR for efficient AI development. Leverage expertise in Prompt Engineering , Transformers , and advanced Natural Language Understanding (NLU) for robust AI system development. Employ containerization and deployment technologies like Docker and Kubernetes for streamlined development workflows. Required Skills & Qualifications: Programming Languages: Expert in Python. AI/ML Frameworks: Proficient in RASA, Google Dialogflow, IBM Watson, OpenAI tools (LLaMA, GPT), and LangChain. Natural Language Processing: Strong expertise in Transformers, Intent Recognition, Slot Filling, and Entity Recognition. Generative AI: Proven experience with LLMs and Retrieval-Augmented Generation (RaG). Tools & Technologies: Familiarity with Docker, Kubernetes, Git, and Whisper ASR. CRM Integration: Hands-on experience with Salesforce integration. Other Skills: Prompt Engineering, Cloud-based Deployments, and Bot Frameworks. Experience: Minimum 6 years of professional experience in AI, ML, and Conversational AI systems. Demonstrated ability to deliver innovative AI solutions tailored to business needs.

Are you ready to shape the future of AI? As a Mid-Level Generative AI Engineer at Techolution, you'll be at the forefront of innovation, fine-tuning cutting-edge LLMs like Falcon, LLaMA, and PaLM 2. Dive deep into the world of NLP, vector databases, and deep learning frameworks to create groundbreaking solutions. Your expertise in Python, PyTorch, and TensorFlow will drive the development of next-generation AI applications. Join our dynamic team and turn visionary concepts into reality, while collaborating with cross-functional experts to integrate ML solutions that redefine industries. Designation: Generative AI Engineer Location: Hyderabad, India Employment Type: Full Time Expertise: Mid-Level Key Responsibilities Develop and implement cutting-edge generative AI solutions, leveraging LLMs and RAG techniques to solve complex business challenges and drive innovation. Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve overall operational efficiency across various departments. ¢ Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance. ¢ Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks. ¢ Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services, enhancing user experiences and creating new value propositions. ¢ Conduct thorough research on emerging deep learning techniques and architectures, staying at the forefront of AI advancements and applying them to real-world problems. ¢ Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes, ensuring efficient and reliable AI operations. ¢ Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles, from concept to production deployment and ongoing optimization. ¢ Cultivate a seeker mindset by continuously exploring new AI methodologies and tools, actively contributing to the team's knowledge base and fostering a culture of innovation. ¢ Showcase passion towards work by eagerly tackling complex AI challenges, pushing boundaries, and consistently delivering high-quality solutions that exceed expectations. Foundational Skills ¢ Large Language Models (LLMs): Proven expertise in working with state-of-the-art LLMs, including fine-tuning, prompt engineering, and integration into production systems. ¢ Retrieval-Augmented Generation (RAG): Demonstrated ability to implement RAG techniques to enhance AI model performance and accuracy in information retrieval tasks. ¢ Fine-tuning: Proficiency in adapting pre-trained models to specific domains and tasks, optimizing their performance for targeted applications. ¢ Vector Databases: Hands-on experience with vector databases for efficient storage and retrieval of high-dimensional data in AI applications. ¢ Deep Learning: Strong foundation in deep learning principles and architectures, with the ability to apply them to solve complex real-world problems. ¢ Generative AI: Comprehensive understanding of generative AI techniques and their practical applications in various industries. ¢ AI Agents: Experience in designing and implementing AI agents that can autonomously perform tasks and make decisions. ¢ Ownership: Demonstrated ability to take full responsibility for projects, driving them from conception to successful completion. ¢ Seeker Mindset: Proactive approach to learning and exploring new technologies, constantly seeking ways to improve and innovate. ¢ Passionate Towards Work: Genuine enthusiasm for AI and its potential to transform industries, reflected in a commitment to excellence and continuous improvement. ¢ Extremely Ambitious: Drive to push boundaries and set high goals, both personally and for the team, to achieve groundbreaking results in AI development. ¢ Ability to Comprehend: Exceptional skill in quickly grasping complex AI concepts and translating them into practical, impactful solutions. Advanced Skills ¢ Computer Vision: Familiarity with computer vision techniques and frameworks, enabling the integration of visual data processing capabilities into AI solutions. ¢ Cloud Deployment: Experience with deploying AI models and applications on cloud platforms, ensuring scalability and reliability in production environments. ¢ Leadership Experience: Prior experience in leading small teams or mentoring junior engineers, demonstrating potential for future growth into leadership roles within the AI department. How to Apply If you are passionate about leveraging AI technologies to create impactful solutions and meet the qualifications listed above, we invite you to apply for this exciting opportunity by sharing your video resume. We look forward to hearing your story and exploring how your skills align with the goals of our team. As an equal opportunity employer, Techolution celebrates diversity and is committed to creating an inclusive environment for all employees. About Techolution At Techolution, we specialize in building custom AI solutions that deliver innovation and drive measurable outcomes for enterprises worldwide. With our specialized expertise we help businesses take AI from their labs into the real world. What We Do As your one-stop shop engineering firm, Techolution guides you from ideation to ROI realization. We ensure real-world AI success by minimizing R&D risks for our clients with our innovative fixed-bid pricing model. Our Unique Value Proposition ¢ White Glove Service: From Ideation Innovation Integration, we lead the way to deliver meaningful outcomes, enabling your team to operate AI solutions independently. ¢ Human-AI Partnership: Our Govern Guide Control (GGC) framework ensures responsible AI governance, aligning solutions with your organizational requirements and brand identity. ¢ Customized AI Solutions: We tailor AI to your enterprise needs, delivering from concept to implementation with our turnkey approach at a guaranteed price. Our Impact Techolution has partnered with 300+ clients worldwide, including 50+ Fortune 500 companies. Our growing team works across diverse sectors such as healthcare, education, retail, media, tech, banking, fintech, government, telecom, and manufacturing. Celebrating 9+ years in business, we are committed to AI Done Right! Awards & Recognition ¢ 2024: Forbes publishes the best-selling book by our CEO, "Failing Fast?: The 10 Secrets to Succeed Faster." ¢ 2023: AI Solutions Provider of the Year - AI Summit ¢ 2022: Best in Business Award - Inc. Magazine ¢ 2021: Best Cloud Transformation Consulting - CIO Review ¢ 2019: Inc. 500 Fastest Growing Company Award Take a Look At Our Accelerators ¢ Enterprise LLM Studio ¢ AppMod.AI ¢ ComputerVision.AI ¢ Robotics and Edge Device Fabrication ¢ RLEF AI Platform Some Videos You Wanna Watch! ¢ About Techolution ¢ Transform Customer Service with Techolution ¢ GoogleNext 2023 ¢ Conversational AI for Enterprise ¢ Realytics AI Success Story Visit us at www.techolution.com to know more about our revolutionary core practices and how we enrich the human experience with technology.

Key Responsibilities: AI Research & Optimization: Stay updated with the latest AI models, optimize cloud/custom AI engines, and enhance model efficiency using techniques like quantization and pruning. Model Development & Deployment: Train, fine-tune, and deploy AI models using TensorFlow, PyTorch, and cloud AI services (AWS SageMaker, Azure ML, Google Vertex AI). Programming & Performance Tuning: Strong coding skills in Python, CUDA, and TensorRT for AI acceleration; experience with distributed computing (Spark, Ray). Cloud & MLOps Expertise: Hands-on with AI infrastructure, containerization (Docker, Kubernetes), and performance optimization for AI workloads. Problem-Solving & Research: Strong analytical skills, ability to explore emerging AI technologies, drive innovative AI-driven solutions, and publish research papers in AI/ML conferences or journals

Experience Required: 8+Years Mode of work: Remote Skills Required: DataBricks, building AI Agents using Azure Copilot Studio or Mosaic AI Agent Framework , Python,Azure and Databricks AI/ML services,developing AI/ML framework with Mosaic or open-source ML Notice Period : Immediate Joiners Primary Responsibilities: Develop and improve the AI agentic frameworks that allow AI agents to work together to achieve complex tasks. Develop novel data collection, fine-tuning, and AI technologies that achieve optimal performance on specific tasks and domains. Design and implement ML pipelines for data preprocessing , feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration. Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions Build scalable, reusable backend systems to support AI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance. Requirements: Hands-on programming experience with at least one modern language such as Python, Scala Experience contributing to the architecture and design of large-scale distributed systems and/or ML systems and tools Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Experience building AI Agents using Azure Copilot Studio or Mosaic AI Agent Framework Strong in Azure and Databricks AI/ML services with experience building AI applications Prior experience in developing AI/ML framework with Mosaic or open-source ML software is an advantage. Interested candidate can share your resume to OR you can refer your friend to Pavithra.tr@enabledata.com for the quick response.

We are hiring for our client, who is an Indian multinational technology services company based in Pune. It is primarily engaged in cloud computing, internet of things, endpoint security, big data analytics and software product engineering services. About Position : As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments. Role: AL ML Engineer Location: Bengaluru Experience : 2-6 years What You'll Do Fine-tuning generative AI models to enhance performance. Designing AI Agents for conversational AI applications. Experimenting with new techniques to develop models for observability use cases Building and maintaining inference pipelines for efficient model deployment. Managing deployment and model versioning pipelines for seamless updates. Developing tooling to continuously validate models in production environments. What we're looking for: 2-6 Years Demonstrated proficiency in software engineering design practices. Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred. Experience working with transformer models and text embeddings. Proven track record of deploying and managing ML models in production environments. Familiarity with common ML/NLP libraries such as PyTorch, TensorFlow, HuggingFace Transformers, and SpaCy. Preferred experience developing production-grade applications in Python. Proficiency in Kubernetes and containers. Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. • Expertise in Python, C++, Kotlin, or similar programming languages. Experience designing, developing, and testing scalable distributed systems. Familiarity with message broker systems (e.g., Kafka, RabbitMQ). Knowledge of application instrumentation and monitoring practices. Experience with ML workflow management, like AirFlow, Sagemaker, etc. Familiarity with the AWS ecosystem. Past projects involving the construction of agentic language chains. Benefits : Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents .

Senior Full Stack Engineer Experience: 5-7 years Salary : USD 40,000-80,000 / year Preferred Notice Period : Within 30 Days Shift : 11:00AM to 8:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : ReactJS, JavaScript, Python, SQL, TypeScript Good to have skills : Agile Methodologies, AI Agents, Automation tools, Supabase Odin AI (One of Uplers' Clients) is Looking for: Senior Full Stack Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About the job Join Odin AI as a Senior Full Stack Engineer Unlock the power of AI with Odin AI your all-in-one solution for personalized content generation, chatbot interaction, document collaboration, and actionable insights. Transform your business intelligence, marketing, research, and productivity needs with Odin's cutting-edge capabilities. Explore limitless possibilities with AI-driven innovation. Join us on the journey at www.getodin.ai . About the Role: As a Senior Full Stack Engineer at Odin AI, you will play a pivotal role in designing and building high-quality, efficient, and reusable back-end systems and APIs. Your expertise will help craft an intuitive and interactive UI using ReactJS, allowing users to navigate complex data seamlessly. You will manage all phases of the software development life cycle, collaborating closely with Product and Design teams to translate end-user requirements into practical software solutions. You'll also lead, mentor, and support other team members, fostering a culture of continuous learning and improvement. Who You Are: 5+ years of professional experience as a Full Stack Developer or similar role. Strong knowledge of JavaScript, TypeScript, and Python. Experience with SQL databases and Object-Relational Mapping (ORM) frameworks. Proficiency in version control systems like Git. Strong problem-solving abilities and capacity to work independently as well as in a team. Excellent communication and teamwork skills, with a keen eye for detail and a problem-solving mindset. Knowledge of agile development methodologies. Self-starter comfortable with identifying opportunities, proactively defining, and driving forward-looking roadmaps. Passionate about solving productivity challenges and empowering other engineers. What Sets You Apart: Proven experience in leading projects and effectively communicating with cross-functional partners. Deep understanding of automation tools and frameworks. Experience with Supabase for data storage, user authentication, and serverless cloud functions. Thrive in an ambiguous environment and can self-manage and prioritize your time, energy, and resources. Understand engineering is a team sport and actively seek feedback and dissent. Benefits: Competitive salary and comprehensive benefits. Flexible working hours and remote work opportunities. A dynamic and friendly work environment. Opportunities for professional development and career progression. Company-sponsored learning initiatives and tech conferences. Job Type: Permanent/Direct-hire Location: Remote Working time: 11:00 AM to 8:00 PM Interview Process - 2 Rounds How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Unlock the power of AI with Odin AI your all-in-one solution for personalized content generation, chatbot interaction, document collaboration, and actionable insights. Transform your business intelligence, marketing, research, and productivity needs with Odin's cutting-edge capabilities. Explore limitless possibilities with AI-driven innovation. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

JD For Senior Data Scientist Generative AI & Advanced Analytics Experienced Senior Data Scientist with expertise in Generative AI and the full software system lifecycle. The ideal candidate will bring deep industry experience, technical excellence, and leadership in developing and deploying large-scale AI/ML solutions. You will drive innovation, shape AI strategies, and lead cross-functional teams to integrate advanced machine learning capabilities into enterprise systems. This role is ideal for someone passionate about architecting AI-driven solutions, optimizing end-to-end analytics workflows, and mentoring teams. Eligibility & Qualifications Minimum Qualifications Bachelor’s/Master’s/Ph.D. in Computer Science, Data Science, AI/ML, or a related field. 8-11 years of experience in Data Science, AI/ML, and Analytics, with a focus on end-to-end software system development. Expertise in Python, distributed computing, and cloud platforms (AWS, Azure, GCP). Experience in designing, deploying, and maintaining AI/ML solutions at scale. Strong leadership experience in guiding technical teams, shaping AI strategies, and managing projects from concept to deployment. Technical Expertise Required Deep expertise in Generative AI and Machine Learning, with hands-on experience in: LLMs & NLP: Prompt engineering, Retrieval Augmented Generation (RAG), Corrective RAG, Knowledge Graph-based RAG. Model Fine-tuning: LoRA/QLoRA, parameter-efficient tuning, multi-agent architectures. AI System Design: Developing AI-powered applications in production environments. Deep Learning & ML Algorithms: Transformers, SVMs, Ensemble Learning, Reinforcement Learning. . Strong background in end-to-end AI solution deployment: