112 Ai Agents Jobs - Page 5

Who we look for You are a proven full stack engineer. Not only strong technically, you have shown that you can work effectively with product managers, designers and other engineering teams. You have a fierce sense of ownership, caring deeply about the quality of everything that you deliver into your clients hands. You love the challenge of engineering and are confident in your ability to bring clarity and direction to ambiguous problem spaces. You work well in a fast-paced environment while deeply invest in long term quality and efficiency. Basic Qualifications 1 to 3 years of hands-on development experience in Core Java (Java 11-21) or Python, and proficiency in backend technologies such as Databases (SQL/No-SQL), Elastic Search, MongoDB, Spring framework, REST, GraphQL, Hibernate, etc. Experience with front-end development with React, Redux, Vue, Typescript, and/or similar frameworks. Demonstrated experience operating in a fast-paced Agile/Scrum setup with a global/remote team. Knowledge of developing and deploying applications in public cloud (AWS, GCP or Azure) or K8S. Experience with implementing unit tests, integration tests, Test Driven Development. Strong development, analytical and problem-solving skills. Knowledge of prompt engineering, LLM, AI Agents, etc. Preferred Qualifications Excellent communication skills and experience working directly with business stakeholders. Data modeling, warehousing (Snowflake, AWS Glue/ EMR, Apache Spark ) and a strong understanding of data engineering practices. Technical, Team or Project leadership experience. Some experience using Infrastructure-As-Code tools (e.g. AWS CDK, Terraform, CloudFormation) Experience with reactive, event-based architectures.

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure. Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL). Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions. Required Skills & Experience 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems . Strong proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs. Experience developing AI-driven backends and services with a strong understanding of scalability and performance. Familiarity with vector search technologies, database integration, and cloud-native architectures. Excellent communication and collaboration skills; ability to work effectively in a team environment. Education B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field. Role: Gen AI Engineer Designation: AI Developer Experience: 2-5 Years (AI/ML, NLP, Generative AI): Location: Pune

Job Summary: We are seeking a passionate and skilled AI Engineer to design, develop, and deploy cutting-edge AI solutions across domains such as large language models (LLMs), computer vision, and autonomous agent workflows. You will collaborate with data scientists, researchers, and engineering teams to build intelligent systems that solve real-world problems using deep learning, transformer-based architectures, and multi-modal AI models. Key Responsibilities: Design and implement AI/ML models, especially transformer-based LLMs (e.g., BERT, GPT, LLaMA) and vision models (e.g., ViT, YOLO, Detectron2). Develop and deploy computer vision pipelines for object detection, segmentation, OCR, and image classification tasks. Build and orchestrate intelligent agent workflows using prompt engineering, memory systems, retrieval-augmented generation (RAG), and multi-agent coordination. Fine-tune and optimize pre-trained models on domain-specific datasets using frameworks like PyTorch or TensorFlow. Collaborate with cross-functional teams to understand problem requirements and translate them into scalable AI solutions. Implement inference pipelines and APIs to serve AI models efficiently using tools such as FastAPI, ONNX, or Triton Inference Server. Conduct model evaluation, benchmarking, A/B testing, and performance tuning. Stay updated with state-of-the-art research in deep learning, generative AI, and multi-modal learning. Ensure reproducibility, versioning, and documentation of all experiments and production models. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 35 years of hands-on experience in designing and deploying deep learning models. Strong knowledge of LLMs (e.g., GPT, BERT, T5), Vision Models (e.g., CNNs, Vision Transformers), and Computer Vision techniques. Experience building intelligent agents or using frameworks like LangChain, Haystack, AutoGPT, or similar. Proficiency in Python, with expertise in libraries such as PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Scikit-learn. Familiarity with MLOps concepts and deployment tools (Docker, Kubernetes, MLflow). Strong understanding of NLP, image processing, model fine-tuning, and optimization. Experience with cloud platforms (AWS, GCP, Azure) and GPU environments. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience in building multi-modal AI systems (e.g., combining vision + language models). Exposure to real-time inference systems and low-latency model deployment. Contributions to open-source AI projects or research publications. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG pipelines. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

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

TargetBay is a fast-growing eCommerce marketing automation SaaS company based out of Chennai and Atlanta. Clients use our products to increase their online sales through our personalized email marketing and reviews technologies. Job Title: AI/ML Engineer - Multi-Agent Systems Experience: 4 - 5 years Location: Perungudi, Chennai Key Skills: Multi-Agent Systems, AI Agents, LLM, Generative AI, RAG, Autogen, LangChain, Prompt Engineering, Fine-tuning, Python, Product Development, NLP, Machine Learning, Deep Learning, Vector Databases, Huggingface, Flask, Docker Roles & Responsibilities: Strong experience in prompt engineering, working on proprietary and public LLMs, including fine-tuning, inference optimization, and experience in the latest LLM frameworks/libraries (like LangChain, Langfuse, Ragas, Llamaindex, Huggingface, and Chainlit) Strong experience in AI/ML, with a strong understanding of machine learning, deep learning, and NLP concepts Strong programming skills in Python and experience with frameworks like Flask/Django Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies Hands-on experience with building and deploying chatbots using language models Hands-on experience with LLMs (Large language models) and advanced techniques such as RAG (Retrieval-Augmented Generation), Fine-tuning, reasoning, etc. Experience with Langchain and open-source Gen AI LLMs e.g., Llama and Mistral Knowledge of prompt engineering techniques Familiarity with Vector databases like Pinecone Knowledge of natural language processing techniques and libraries such as NLTK, and Spacy Knowledge of Docker containers Experience with any cloud (AWS/Azure/GCP) Any extra specification(Optional): Must have extensive experience in Multi-Agent AI systems development Must have proven end-to-end product development and maintenance experience Must have AI Agent experience

We are seeking a talented Machine Learning Engineer with deep expertise in natural language processing (NLP), large language models (LLMs), and speech technologies to join our forward-thinking team. This role focuses on advancing our capabilities

7–8 years’ exp in Java, Spring Boot, AWS, Docker, and REST APIs.Knowledge of DDD, authentication protocols, data structures & Agile practices. AWS certification preferred. Expe with Salesforce, AI agents, and security best practices is a plus. Required Candidate profile Experienced with Salesforce integration, web security, and Agile practices. AWS certified, strong in data structures, and proficient in GitHub, GitHub Actions, and AI-based backend development.

7–8 years’ exp in Java, Spring Boot, AWS, Docker, and REST APIs.Knowledge of DDD, authentication protocols, data structures & Agile practices. AWS certification preferred. Expe with Salesforce, AI agents, and security best practices is a plus. Required Candidate profile Experienced with Salesforce integration, web security, and Agile practices. AWS certified, strong in data structures, and proficient in GitHub, GitHub Actions, and AI-based backend development.