Integrated Digital Solutions LLC

4 Job openings at Integrated Digital Solutions LLC
AI Prompt Engineer (RPA & AI Agents) india 0 years None Not disclosed On-site Full Time

Company Description At Integrated Digital Solutions (IDS), we drive innovation, efficiency, and transformation. With expertise in IT consulting, digital strategy, and technology implementation, we empower businesses to streamline operations and lead in a digital-first world. Our team of experts bridges the gap between vision and execution, delivering tailored solutions that create real impact. At IDS, we don’t just implement technology—we engineer success. Job Summary We are seeking a highly skilled AI Prompt Engineer with expertise in Robotic Process Automation (RPA)—preferably with Automation Anywhere—and hands-on experience building and deploying AI agents. The ideal candidate will bridge the gap between process automation, prompt engineering, and applied AI, enabling the creation of intelligent, autonomous systems that augment business workflows and decision-making. Key Responsibilities Key Responsibilities • Design, test, and optimize high-quality prompts to drive accuracy, reliability, and adaptability of AI models within various business use cases. • Collaborate with automation teams to integrate Automation Anywhere bots with AI-driven agents for end-to-end workflows. • Build, configure, and deploy AI agents capable of reasoning, planning, and executing tasks autonomously. • Partner with data scientists, RPA developers, and business stakeholders to identify opportunities for AI-driven automation. • Develop reusable prompt templates, prompt libraries, and best practices for large language models (LLMs) and multi-agent systems. • Integrate APIs, knowledge bases, and 3rd-party systems into AI agents and RPA workflows to enrich decision-making capabilities. • Monitor agent and bot performance, troubleshoot issues, and fine-tune prompts for continuous improvement. • Conduct research on state-of-the-art AI agent frameworks, RPA enhancements, and generative AI trends to keep solutions cutting-edge. • Ensure compliance with data privacy, governance, and responsible AI practices. Required Skills & Qualifications • Bachelor’s or Master’s degree in Computer Science, Information Systems, AI/ML, or related field. • Strong experience with prompt engineering techniques for large language models (e.g., OpenAI, Anthropic, Llama). • Hands-on knowledge of Automation Anywhere (bot development, control room, IQ Bot, API integrations). • Proven experience in building, deploying, and managing AI agents or autonomous AI workflows. • Familiarity with RPA-to-AI orchestration, including scheduling, decision-making, and exception handling. • Proficiency with programming/scripting in Python, Java, or JavaScript for automation and agent development. • Understanding of APIs, webhooks, and system integrations across enterprise environments. • Strong analytical, problem-solving, and communication skills. • Ability to translate business requirements into scalable AI workflows. Preferred/Good-to-Have Skills • Exposure to multi-agent frameworks (LangChain, AutoGPT, CrewAI, Microsoft Autogen, etc.). • Familiarity with cloud platforms (AWS, GCP) for AI/automation deployment. • Knowledge of ML pipelines, NLP models, and conversational AI. • Experience in governance frameworks for AI and automation.

Java Script Developer greater hyderabad area 2 years None Not disclosed Remote Full Time

Company Description At Integrated Digital Solutions (IDS), we drive innovation, efficiency, and transformation. With expertise in IT consulting, digital strategy, and technology implementation, we empower businesses to streamline operations and lead in a digital-first world. Our team of experts bridges the gap between vision and execution, delivering tailored solutions that create real impact. At IDS, we don’t just implement technology—we engineer success. Job Summary We are seeking a talented and passionate JavaScript Developer to join our dynamic development team. As a JavaScript Developer, you will play a key role in designing, building, and maintaining robust, scalable, and high-performance web applications. You’ll collaborate closely with designers, backend engineers, and business analysts to deliver seamless, user-friendly experiences and cutting-edge features. Key Responsibilities Application Development: Design, code, test, and deploy modern web applications using JavaScript and related frameworks (such as React, Angular, or Vue.js). UI/UX Implementation: Work closely with UI/UX designers to translate wireframes and mockups into responsive, interactive web interfaces. API Integration: Connect front-end components with RESTful APIs or GraphQL to enable dynamic data-driven features. Performance Optimization: Identify and resolve performance issues to ensure applications load quickly and run smoothly across devices and browsers. Code Quality: Write clean, maintainable, and well-documented code; adhere to coding standards and participate in code reviews. Collaboration: Collaborate with cross-functional teams in an agile environment, contribute to planning and estimation, and deliver features on time. Testing & Debugging: Develop and maintain unit tests, participate in automated testing, and debug issues to ensure bug-free releases. Continuous Learning: Stay up-to-date with the latest JavaScript trends, frameworks, and best practices, and proactively share knowledge with the team. Required Qualifications Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Experience: 2+ years of professional experience developing front-end or full-stack web applications with JavaScript. Technical Skills Proficiency in JavaScript (ES6+), HTML5, and CSS3. Hands-on experience with at least one modern JavaScript framework (React.js, Angular, Vue.js, or similar). Understanding of asynchronous programming, promises, and AJAX/XHR. Familiarity with version control systems (preferably Git). Experience with build tools, package managers, and front-end tooling (Webpack, Babel, npm/yarn). Problem-Solving: Strong analytical, troubleshooting, and problem-solving abilities. Communication: Clear written and verbal communication skills; ability to explain technical concepts to both technical and non-technical audiences. Add on Qualifications Experience with TypeScript. Exposure to back-end development (Node.js, Express, or equivalent). Familiarity with testing frameworks (Jest, Mocha, Cypress). Knowledge of CI/CD workflows and modern DevOps practices. Understanding of web accessibility (WCAG) and security best practices. Prior work in agile or scrum teams. Work Environment & Culture Location: Remote or hybrid options available. Team Culture: Collaborative, agile, and innovative; growth-oriented with mentorship and knowledge sharing. Benefits: Competitive compensation, skill development opportunities, remote work support, and modern development tools. Why Join Us? You’ll have the opportunity to work on impactful projects, keeping pace with the latest in JavaScript and web technology. Shape user experiences, solve engaging technical challenges, and contribute to a fast-growing, supportive engineering culture. If you are motivated by building high-quality apps and enjoy collaborating in a dynamic environment, we want to hear from you!

AI Solutions Developer (Appsmith & Automation) india 6 years None Not disclosed Remote Full Time

Company Description At Integrated Digital Solutions (IDS), we drive innovation, efficiency, and transformation. With expertise in IT consulting, digital strategy, and technology implementation, we empower businesses to streamline operations and lead in a digital-first world. Our team of experts bridges the gap between vision and execution, delivering tailored solutions that create real impact. At IDS, we don’t just implement technology—we engineer success. Job Summary As a AI Solutions Developer specializing in the Appsmith low-code platform, you will architect, implement, and optimize next-generation internal business applications enriched with AI and intelligent automation. Your primary focus is to leverage Appsmith’s AI Studio—including cutting-edge LLM integrations and automation features—to deliver smart dashboards, adaptive workflow automations, and agent-based solutions that elevate operational efficiency and business intelligence. You’ll partner with cross-functional teams to translate real business challenges into scalable, LLM-enhanced applications, harnessing RPA methodologies to automate complex, repeatable processes. Core Responsibilities: AI-Powered Application Development: Harness Appsmith AI to deliver sophisticated apps with intuitive natural language querying, smart widget recommendations, and AI-driven actions such as content generation, image recognition, and automated decisioning. Seamless LLM Integrations: Integrate public and private LLMs (OpenAI, Anthropic, Google AI, Llama3, etc.) to unlock capabilities like text summarization, semantic search, conversational agents, and intelligent data processing. Automation & Orchestration: Design complex workflow automations guided by RPA principles, embedding LLMs for adaptive automation including dynamic error handling and process logic. Data Connections: Integrate with diverse data sources (PostgreSQL, MongoDB, REST/GraphQL APIs, SaaS platforms like HubSpot/Twilio) to fuel real-time, AI-informed insights within business apps. Scalability & Security: Optimize application reliability, scalability, and performance including minimizing LLM latency, ensuring high availability, and adhering to best practices in privacy and data protection. Agile Collaboration: Engage with stakeholders to capture requirements, prototype solutions, iterate rapidly, and champion continuous feedback in an agile team setting. Documentation & Knowledge Sharing: Maintain detailed documentation for AI features, LLM/RPA integrations, and best practices, fostering reusability, compliance, and rapid onboarding. Required Qualifications: Education: Bachelor’s degree (or equivalent experience) in Computer Science, Artificial Intelligence, Engineering, or related discipline. Professional Background: 3–6 years of proven software development, with 2+ years in low-code/no-code and AI-enhanced applications. Experience with RPA tools (UiPath, Automation Anywhere, etc.) strongly preferred. Technical Expertise: Advanced skill in JavaScript, SQL, and API integration for building custom AI functionality. Demonstrated experience with LLMs (e.g., GPT, Claude) and their APIs for enabling generative and analytical features. Solid grasp of Git for version control, branching, and team workflows. Analytical Acumen: Strong problem-solving mindset; adept at debugging and delivering resilient AI-powered solutions. Collaborative Communicator: Effective at interfacing with product, engineering, and business teams in virtual/hybrid environments. Standout Qualities: Appsmith AI Specialist: Advanced proficiency in maximizing Appsmith AI’s capabilities, including private/local LLM deployments and complex prompt engineering. LLM & RPA Synergy: Demonstrated ability to orchestrate adaptive workflows that combine LLM intelligence with RPA for non-linear automations and greater flexibility. Ethical AI & Security Focus: Deep understanding of privacy, secure API management, bias detection/mitigation, and trustworthy AI implementation. Cloud-Native Deployments: Hands-on with AWS, Docker, Kubernetes, or comparable cloud/devops tools for deploying and scaling AI applications. Innovation & Open Source: Evidence of contributions to AI or open-source projects, early experimentation with emerging LLM or automation technologies. Adaptive Learning: Strong commitment to continuous learning in a rapidly evolving AI and automation landscape. Working Environment: Remote-First: Flexible, remote or hybrid arrangements across distributed, global teams. Growth-Oriented: Culture of curiosity, openness, rapid prototyping, and knowledge sharing—centered around innovation in AI and automation. Comprehensive Benefits: Attractive compensation, professional development in AI/RPA, remote work support, and access to advanced tooling. Why Join Us? Join a leader in AI-driven low-code development, where you’ll shape the future of business transformation. Develop advanced solutions integrating LLMs and RPA, and make an impact on thousands of organizations at the forefront of operational intelligence and productivity. Here, your ideas and technical expertise will drive meaningful change, elevate your career, and contribute to the next wave of intelligent automation.

Technical Project Manager - Agentic AI Intiatives india 8 years None Not disclosed Remote Full Time

Company Description At Integrated Digital Solutions (IDS) , we drive innovation, efficiency, and transformation. With expertise in IT consulting, digital strategy, and technology implementation, we empower businesses to streamline operations and lead in a digital-first world. Our team of experts bridges the gap between vision and execution, delivering tailored solutions that create real impact. At IDS, we don’t just implement technology—we engineer success. About the Role: The Technical Project Manager (TPM) owns end-to-end delivery of intelligent automation and generative-AI programs, translating business goals into scalable technical road-maps while coordinating cross-functional engineering, data science, security, and operations teams. Key Responsibilities: Define project scope, success metrics, and release plans for GenAI, Agentic AI, and RPA solutions. Build and maintain detailed schedules, sprint plans, risk registers, and dependency maps. Drive discovery workshops to capture business processes and identify automation or agentic opportunities. Partner with solution architects to select models (LLMs, diffusion, hybrid), prompt-engineering patterns, and orchestration frameworks (LangChain, AutoGen, AgentOps, etc.). Oversee development and deployment of RPA bots (UiPath, Automation Anywhere) and AI agents on AWS, or GCP. Champion secure-by-design practices, ensuring model governance, data privacy, and Responsible AI compliance. Establish KPIs—cost per transaction, latency, agent autonomy level, bot uptime—and deliver regular executive dashboards. Manage vendor contracts, SoWs, and budgets up to ₹10 crore. Mentor scrum teams, conduct sprint retros, and drive continuous improvement with OKR tracking. Coordinate change-management, user training, and hyper-care for production rollouts. Required Skills and Experience 6–8 years in technical project or program management, with at least 2 years leading AI/ML initiatives. Demonstrated delivery of GenAI or LLM-based solutions (chatbots, copilots, content generation, or summarization). Hands-on familiarity with RPA toolchains and process-mining platforms. Proven command of Agile, Scrum, and Kanban rituals; Jira and Confluence power user. Solid grasp of cloud-native architectures, microservices, APIs, Docker/Kubernetes, and CI/CD pipelines. Strong data literacy: SQL, basic Python, prompt engineering, and model evaluation metrics (BLEU, ROUGE, hallucination rate). Experience managing multi-stakeholder programs across product, legal, security, and operations. Excellent communication, stakeholder management, and executive presentation skills. Preferred Prior work with agent frameworks (Open-AI Agents, BabyAGI, Auto-GPT) or autonomous RPA orchestration. Knowledge of process-mining tools (Celonis, UiPath Process Mining). Certification: PMP, PMI-ACP, Prince2, or SAFe POPM. Exposure to generative design patterns, reinforcement learning-from-feedback, and prompt-chain optimization. Experience in regulated domains (BFSI, healthcare, telecom) with relevant compliance standards. Education & Certifications Bachelor’s degree in Computer Science, Information Systems, or related engineering field Location & Work Mode Primary location: Bengaluru, Hyderabad (Initially Remote) Occasional travel (up to 5%) to client sites within India or APAC. Why IDS Opportunity to work on cutting-edge GenAI and autonomous-process programs at enterprise scale. Flat, innovation-driven culture with rapid decision cycles. Competitive compensation, performance bonuses, and continuous learning budget.