6 Frontend Integration Jobs

As a PEGA Senior/Lead Developer with CDH/Decisioning experience, you will be responsible for leveraging your expertise in Pega PRPC and CDH implementations on the cloud. Your role will involve designing and developing Business Process Management (BPM) and Business Rules Engines (BRE) applications using Pega Platform Infinity 8.x. Additionally, you will lead and deliver projects related to CDH, Case Management, and BPM, demonstrating your proficiency in NBA/decisioning applications by defining decision architecture, solutions, and designs for Pega Decisioning and Pega Marketing. You will be expected to implement Pega Decisioning rules, Strategies, engagement policies, constraints, and channel configuration while also having experience in data flows, segmentation, AI concepts, and implementing changes to these modules. Collaboration with solution architects and the PEGA COE to ensure compliance with architecture guidelines, security requirements, and design and development standards will be a key aspect of your role. Your strong analysis and design skills will be crucial in developing products and services that require front-end and back-end integration. The desired certifications for this position include Pega Certified System Architect (CSA), Pega Certified Senior System Architect (CSSA), Pega Certified Decisioning Consultant (CPDC), Pega Certified Senior Marketing Consultant (PCSMC), Pega Certified Data Scientist, and Pega Certified Lead System Architect (PCLSA). As a PEGA Senior/Lead Developer with CDH/Decisioning experience, your role falls under the IT/ Computers - Software industry type within the IT-Software functional area. This is a full-time, permanent position with a role category of Information Technology. Key skills required for this position include being a Lead Developer with CDH expertise. If you are ready to take on this challenging and rewarding role, please refer to the job code GO/JC/21417/2025 and reach out to the recruiter SPriya to explore this opportunity further.,

Design and develop scalable backend solutions using Java, Spring Boot, GraphQL, and AWS. Integrate with frontend using ReactJS. Implement microservices, storage solutions, and messaging systems. Collaborate across teams to deliver full-stack features Required Candidate profile 8+ years in full-stack development with strong Java backend, Spring Boot, GraphQL, AWS, ReactJS, and exposure to NodeJS. Should be hands-on with Lambdas, Postgres, Cassandra, and SQS.

The Implementation Technical Architect role focuses on designing, developing, and deploying cutting-edge Generative AI (GenAI) solutions using the latest Large Language Models (LLMs) and frameworks. Your responsibilities include creating scalable and modular architecture for GenAI applications, leading Python development for GenAI applications, building tools for automated data curation, integrating solutions with cloud platforms like Azure, GCP, and AWS, applying advanced fine-tuning techniques to optimize LLM performance, establishing LLMOps pipelines, ensuring ethical AI practices, implementing Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation techniques, collaborating with front-end developers, and more. Key Responsibilities: - Design and Architecture: Create scalable and modular architecture for GenAI applications using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Python Development: Lead the development of Python-based GenAI applications, ensuring high-quality, maintainable, and efficient code. - Data Curation Automation: Build tools and pipelines for automated data curation, preprocessing, and augmentation to support LLM training and fine-tuning. - Cloud Integration: Design and implement solutions leveraging Azure, GCP, and AWS LLM ecosystems, ensuring seamless integration with existing cloud infrastructure. - Fine-Tuning Expertise: Apply advanced fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLM performance for specific use cases. - LLMOps Implementation: Establish and manage LLMOps pipelines for continuous integration, deployment, and monitoring of LLM-based applications. - Responsible AI: Ensure ethical AI practices by implementing Responsible AI principles, including fairness, transparency, and accountability. - RLHF and RAG: Implement Reinforcement Learning with Human Feedback (RLHF) and Retrieval-Augmented Generation (RAG) techniques to enhance model performance. - Modular RAG Design: Develop and optimize Modular RAG architectures for complex GenAI applications. - Open Source Collaboration: Leverage Hugging Face and other open-source platforms for model development, fine-tuning, and deployment. - Front-End Integration: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces. Required Skills: - Python Programming: Deep expertise in Python for building GenAI applications and automation tools. - LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. - Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. - Fine-tune SLM(Small Language Model) for domain specific data and use cases. - Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. - Anti-hallucination and anti-gibberish tools such as Bleu etc. - Cloud Platforms: Extensive experience with Azure, GCP, and AWS LLM ecosystems and APIs. - Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. - LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management. - Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations. - RLHF and RAG: Advanced skills in Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation. - Modular RAG: Deep understanding of Modular RAG architectures and their implementation. - Hugging Face: Proficiency in using Hugging Face and similar open-source platforms for model development. - Front-End Integration: Knowledge of front-end technologies to enable seamless integration of GenAI capabilities. - SDLC and DevSecOps: Strong understanding of secure software development lifecycle and DevSecOps practices for LLMs.,

The role of a Flutter Developer involves having a minimum of 1 to 2 years of proven work experience in Flutter. Your main responsibilities will include developing mobile applications using Flutter for the frontend, collaborating with UX/UI designers to create a user-friendly interface, ensuring the performance, quality, and responsiveness of applications, integrating frontend and backend components seamlessly, and having published one or more mobile apps on Google Play or the App Store. You should also have experience with third-party libraries and APIs, familiarity with RESTful APIs and PostgreSQL databases, understanding of Git, the software development lifecycle, and Agile methodologies. Strong problem-solving skills and attention to detail are essential for this role. The ideal candidate should have 1 to 1.5 years of experience and the job location is in Indore (WFO). If you meet the requirements and are interested in this position, please send your CV to preetika@clarigoinfotech.com.,

Roles and Responsibility : 1. Front-End Integration: Integrate front-end components with server-side logic and APIs. Ensure cross-platform optimization for mobile phones and responsiveness of applications. 2. State Management: Expertise in state management tools like Redux or Context API. Implement well-organized and efficient state management strategies. 3. Testing and Debugging: Write robust tests using frameworks like Jest and Enzyme. Debug and resolve technical issues in a timely manner. 4. Performance Optimization: Optimize applications for speed and performance. Implement code-splitting and lazy-loading techniques. 5. Code Review and Version Control: Conduct code reviews to ensure high code quality. Maintain version control using Git or similar systems. 6. Collaboration and Communication: Work closely with cross-functional teams including designers, backend developers, and product managers. Clearly communicate technical concepts to non-technical stakeholders.

Role & responsibilities: Assist in developing and maintaining web applications using React, Node.js, and Django. Collaborate with senior developers and cross-functional teams to understand requirements and implement solutions. Participate in code reviews and follow best practices for writing clean and efficient code. Continuously learn and apply new technologies and frameworks as needed. Debug and troubleshoot issues in development and production environments. Key Skills & Tools: Basic to intermediate knowledge of React.js, Angular, Node.js, and Django. Understanding of RESTful APIs, front-end/backend integration. Familiarity with version control systems like Git. Good problem-solving and communication skills. Ability to work both independently and within a team. Good to have: Internship or academic projects using the mentioned tech stack. Exposure to databases like MongoDB, PostgreSQL, or MySQL. Interest in full-stack development.