8 Ai Applications Jobs

Overview The AI Solution Architect will be responsible for designing and guiding the technical architecture for the rapid delivery of Machine Learning (ML) and Large Language Model (LLM) powered applications. This role requires a strong understanding of end-to-end system design, integration principles, and the ability to translate business needs into clear and scalable technical blueprints. The architect will ensure seamless integration of various components, optimize for scalability, and effectively communicate architectural designs and trade-offs to both technical and non-technical stakeholders. Key Responsibilities: Design and document end-to-end technical architectures for rapid prototyping and Proof-of-Concepts (POCs) of ML and LLM powered applications. Translate complex business requirements into actionable and well-defined technical designs, considering factors such as performance, scalability, security, and maintainability. Architect the integration of various systems, including APIs (REST, gRPC, etc.), databases (SQL, NoSQL), and front-end applications, within tight project timelines and constraints. Define data pipelines and data storage solutions optimized for ML/LLM workloads. Select appropriate technologies, frameworks, and tools for building and deploying AI solutions. Ensure the scalability and reliability of the designed architectures. Collaborate closely with development teams to provide architectural guidance and support throughout the development lifecycle. Communicate architectural designs, trade-offs, and technical complexities clearly and concisely to both technical and non-technical stakeholders, including product managers, business analysts, and executives. Identify and mitigate potential technical risks and challenges. Stay up-to-date with the latest advancements in AI/ML/LLM technologies and architectural patterns. Contribute to the development of architectural best practices and standards within the organization. Requirements Skills & Experience: Proven experience in designing end-to-end technical architectures for rapid prototyping or POCs, with a strong emphasis on ML/LLM components. Demonstrated ability to break down complex business requirements into clear, actionable technical designs and specifications. Hands-on experience integrating multiple systems, including APIs (REST, gRPC, etc.), databases (SQL, NoSQL), and front-end applications, under tight timelines and constraints. Excellent communication and presentation skills, with the ability to effectively articulate complex technical concepts and architectural trade-offs to both technical and non-technical team members. Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Experience with containerization technologies (e.g., Docker, Kubernetes). Familiarity with data engineering principles and tools. Understanding of software development methodologies (e.g., Agile, Scrum). Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications: Experience with specific ML/LLM frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Experience with MLOps practices and tools for deploying and managing ML models. Knowledge of security best practices for AI applications. Experience in a fast-paced startup or innovation-driven environment.

Job description If you are a visionary and technically skilled professional eager to work on cutting-edge AI projects, we invite you to apply for this role. As a Solution Architect, you will play a key role in transforming how AI solutions are designed and implemented for our clients, driving innovation and success. Position: Solution Architect Location: Kochi, Kerala Experience Required: 8-10 years Minimum Qualification: B.Tech or MCA About the Role: We are seeking a skilled Solution Architect to lead the design and implementation of innovative solutions centered around Generative AI. The ideal candidate will have a deep understanding of AI technologies and a proven ability to design scalable, robust systems. You will be responsible for shaping the technical direction of projects, ensuring the successful integration of AI models with business applications, and acting as a technical advisor to both clients and internal teams. Key Responsibilities: Architect and design AI-driven solutions that address client needs, with a focus on Generative AI models. Translate business requirements into robust, scalable technical architectures. Provide technical leadership across all project phases, from solution design to implementation and deployment. Collaborate with clients to understand their challenges and define tailored AI solutions. Lead the integration of AI models into existing platforms, ensuring seamless deployment and system performance. Work closely with development teams to ensure adherence to best practices and the successful execution of project deliverables. Ensure the security, scalability, and maintainability of AI applications. Stay ahead of technology trends in the AI and ML space, integrating new approaches and techniques where applicable. Act as the primary point of contact for technical discussions, solution validation, and troubleshooting with clients. Mentor and guide engineering teams to enhance their skills in AI architecture, solution design, and best practices. Create and maintain architecture documentation and provide continuous feedback to improve solution designs. Engage in pre-sales activities , offering technical expertise to prospective clients and contributing to proposal development. Ensure all AI systems comply with regulatory, security, and business standards. Work with cross-functional teams to evaluate and recommend technologies, platforms, and tools that enhance AI capabilities. Required Qualifications and Experience: Education: B.Tech or MCA. Experience: 8-10 years in designing and implementing technical solutions, with at least 2 years of experience in AI or related fields. Strong background in solution architecture, designing scalable and high-performance systems. Experience in working with AI/ML frameworks such as TensorFlow, PyTorch, or similar. Familiarity with languages and technologies like NodeJS, Python, Angular, MongoDB, and Redis . Solid understanding of agile methodologies and ability to work in a fast-paced, iterative environment. Strong client-facing skills with the ability to present complex technical information in a clear and concise manner. Excellent problem-solving, analytical, and troubleshooting skills. Preferred Qualifications: Experience in Generative AI technologies, including working with models like GPT, DALL-E , or BERT . Experience in cloud architectures, including Azure, AWS, or GCP , particularly in deploying AI solutions at scale. Proven experience in leading multiple teams and ensuring seamless project delivery. A background in AI ethics, model governance, or regulatory compliance is a plus. Location: Kochi, Kerala

Job Type: Full Time Job Description: We are seeking an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions. The ideal candidate should have a strong foundation in developing AI/ML-based solutions, including expertise in Computer Vision (OpenCV). Additionally, proficiency in developing, fine-tuning, and deploying Large Language Models (LLMs) is essential. As an AI Engineer, candidate will work on cutting-edge AI applications, using LLMs like GPT, LLaMA, or custom fine-tuned models to build intelligent, scalable, and impactful solutions. candidate will collaborate closely with Product, Data Science, and Engineering teams to define, develop, and optimize AI/ML models for real-world business applications. Key Responsibilities: Research, design, and develop AI/ML solutions for real-world business applications, RAG is must. Collaborate with Product & Data Science teams to define core AI/ML platform features. Analyze business requirements and identify pre-trained models that align with use cases. Work with multi-agent AI frameworks like LangChain, LangGraph, and LlamaIndex. Train and fine-tune LLMs (GPT, LLaMA, Gemini, etc.) for domain-specific tasks. Implement Retrieval-Augmented Generation (RAG) workflows and optimize LLM inference. Develop NLP-based GenAI applications, including chatbots, document automation, and AI agents. Preprocess, clean, and analyze large datasets to train and improve AI models. Optimize LLM inference speed, memory efficiency, and resource utilization. Deploy AI models in cloud environments (AWS, Azure, GCP) or on-premises infrastructure. Develop APIs, pipelines, and frameworks for integrating AI solutions into products. Conduct performance evaluations and fine-tune models for accuracy, latency, and scalability. Stay updated with advancements in AI, ML, and GenAI technologies. Required Skills & Experience: AI & Machine Learning: Strong experience in developing & deploying AI/ML models. Generative AI & LLMs: Expertise in LLM pretraining, fine-tuning, and optimization. NLP & Computer Vision: Hands-on experience in NLP, Transformers, OpenCV, YOLO, R-CNN. AI Agents & Multi-Agent Frameworks: Experience with LangChain, LangGraph, LlamaIndex. Deep Learning & Frameworks: Proficiency in TensorFlow, PyTorch, Keras. Cloud & Infrastructure: Strong knowledge of AWS, Azure, or GCP for AI deployment. Model Optimization: Experience in LLM inference optimization for speed & memory efficiency. Programming & Development: Proficiency in Python and experience in API development. Statistical & ML Techniques: Knowledge of Regression, Classification, Clustering, SVMs, Decision Trees, Neural Networks. Debugging & Performance Tuning: Strong skills in unit testing, debugging, and model evaluation. Hands-on experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone). Good to Have: Experience with multi-modal AI (text, image, video, speech processing). Familiarity with containerization (Docker, Kubernetes) and model serving (FastAPI, Flask, Triton).

Seeking a highly skilled and motivated Senior Generative AI Developer with approximately 2 years of hands-on experience in developing and deploying AI models, particularly in the generative space (e.g., NLP, AL/ML, AWS, Python, RASA, MCP, Flutter). Required Candidate profile 2+ yrs of exp in AI/ML dev, with focus on gen models. Prog skills in Python & ML libraries/frameworks Langchain, spacy, NLTK, Hugging Face Exp in AI bot/agent platforms like Make, POE, RetellAI

Position: AI Solution Architect Experience:10+yrs Work Mode: WFO Location: Elnet Software City, Taramani JD: Job Overview: Join our team as an AI Solutions Architect to design and oversee the integration of AI technologies into our healthcare services at Manage My Health. Responsibilities: Design and implement AI solutions that are scalable across various healthcare applications. Collaborate with IT and data science teams to architect systems that securely manage patient data. Monitor AI systems' performance and make adjustments to technologies as necessary. Lead cross-functional teams in developing and deploying AI tools. Qualifications: Bachelor's or Masters degree in Computer Science, AI, or related field. Strong experience in system architecture, particularly with AI applications. Knowledge of cloud platforms and services, like AWS, Azure, or Google Cloud. Strong project management and leadership skills. Preferred Skills: Experience in a healthcare IT environment. Certifications in cloud architecture or AI technologies. Interested can WhatsApp your cv to 8939942111 .

UKG is a leader in the HCM space, and is at the forefront of artificial intelligence innovation, dedicated to developing cutting-edge generative AI solutions that transform the HR / HCM industry and enhance user experiences. We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities: Software Development: Write clean, maintainable, and efficient code or various software applications and systems. GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and Architecture: Participate in design reviews with peers and stakeholders Code Review: Review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and Quality: Contribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications: Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 2+ years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications: Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus.

Job Summary: We are seeking a highly motivated and detail-oriented CCAI QA Engineer to ensure the quality and performance of our conversational AI solutions built on Google Cloud's Contact Center AI (CCAI) platform, specifically Dialogflow CX. The ideal candidate will have a solid understanding of testing methodologies and experience with automated testing tools, with a focus on conversational flows and natural language understanding. You will play a crucial role in validating agent functionality, identifying defects, and ensuring a seamless and positive user experience. Must-Have Skillsets: CCAI Core Technologies: Dialogflow CX (Essential) Contact Center AI (Understanding of its components like Virtual Agent, Agent Assist, etc.) Conversational Design Principles (Understanding of user flows, intent mapping, entity extraction) Testing and Automation: Dialogflow CX Testing (Experience with the Dialogflow CX testing framework or equivalent) Test Case Design and Execution (Creating test cases based on user stories and requirements) API Testing (Experience with tools like Postman or REST Assured) Performance Testing (Basic understanding of performance testing concepts for conversational flows) Automation Tools (Experience with tools like Botium, Cyara, or similar chatbot testing frameworks is highly desirable) Test Management Tools (Jira, Xray, TestRail, etc.) Programming/Scripting (Beneficial but not always mandatory): Python (For test scripting and automation) JavaScript (For web-based testing) Cloud Platforms: Google Cloud Platform (GCP) (Basic understanding of GCP services is a plus) Other: Strong understanding of QA methodologies and best practices Excellent analytical and problem-solving skills Strong communication and collaboration skills Key Responsibilities: Test Planning and Design: Collaborate with developers and product managers to understand requirements and create comprehensive test plans. Develop detailed test cases and test scripts for Dialogflow CX agents, covering various conversational flows, intents, entities, and edge cases. Test Execution and Reporting: Execute test cases and document test results. Identify, document, and track defects using bug tracking systems. Perform regression testing to ensure that new changes do not introduce regressions. Automation: Develop and maintain automated test scripts using relevant tools and frameworks (e.g., Botium, Cyara, Python). Contribute to the continuous improvement of the testing process by identifying opportunities for automation. Performance and Load Testing: Participate in performance and load testing of Dialogflow CX agents to ensure scalability and responsiveness. Collaboration: Work closely with developers, product managers, and other stakeholders to ensure the quality of the conversational AI solutions. Participate in code reviews and provide feedback on testability. Required Skills and Experience: Proven experience in software quality assurance, with a focus on testing web applications or APIs. Experience testing conversational AI applications or similar technologies is highly preferred. Familiarity with Dialogflow CX or other chatbot platforms is a significant advantage. Strong understanding of testing methodologies (Agile, Waterfall). Experience with test automation tools and frameworks. Excellent analytical, problem-solving, and communication skills. Ability to work independently and as part of a team.

Responsibilities: Develop and maintain AI-powered web applications using the MERN stack. Integrate AI models and APIs into front-end and back-end systems. Work on optimizing application performance and scalability. Develop and deploy secure, efficient, and high-quality code. Collaborate with cross-functional teams to enhance AI-driven product features. Requirements: 2+ years of experience in MERN stack development. Experience with AI/ML frameworks (TensorFlow, PyTorch, OpenAI APIs, etc.). Strong understanding of API integrations and cloud-based architectures. Proficiency in database management and application security. Strong analytical and problem-solving skills.