Development Lead

We are seeking a multi-skilled, multi-faceted Technical Development Lead with a deep expertise in Large Language models, Generative AI, and Full-Stack Cloud Native Application Development, to join our dynamic product development team. As a Development Lead, you will play a key role in developing cutting-edge products and innovative solutions for our clients, combining the power of LLMs, Generative AI, and Agentic AI together with Cloud Native Full Stack Application Development. Your primary focus will be on driving bespoke product development to build creative and impactful solutions, that enhance the product portfolio. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of technology, as well as rapidly learning new skills and technology on the job. The ideal candidate will also combine traditional product development and cloud native app dev skills with modern and emerging Generative AI and LLM App development skills.Job Description: Responsibilities : Develop, implement and optimize scalable AI-enabled products, cloud-native apps and cloud solutions. Technical delivery and execution of applications involving Cloud Platforms, Cloud Native Apps, and Cloud AI Services Drive solution tech design and implementation across all layers of the application stack – including front-end, back-end, APIs, data and AI services Design and build enterprise products and full-stack applications on the MERN stack, with clear separation of concerns across layers Design and build web apps and solutions that leverage LLM models, and Generative AI workflows Leverage Multi modal AI capabilities supporting all content types and modalities, including text, imagery, audio, speech and video Constantly Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Drive product development and delivery within tight timelines Collaborate with full-stack developers, engineers, and quality engineers, to develop and integrate solutions into existing enterprise products. Collaborate with technology leaders and cross-functional teams to develop and validate client requirements and rapidly translate them into working solutions. Key Skills required : Full Stack MERN App Dev, Front-End + Back-End Development, API Dev, Micro Services Cloud Native App Dev, Cloud Solutions LLM, LLM App Dev AI Agents, Agentic AI Workflows Generative AI, Multi Modal AI , Creative AI Working with Text, Imagery, Speech, Audio and Video AI Must-Have capabilities: Strong Expertise in MERN stack (JavaScript) including client-side and server-side JavaScript Strong Expertise in Python based development, including Python App Dev for LLM integration Well-rounded in both programming languages Hands-on Experience in front-end and back-end development Hands-on Experience in Data Processing and Data Integration Hands-on Experience in API integration Hands-on Experience in LLM App Dev and LLM enabled solutions. Hands-on Experience in Multi modal AI models and tools. JavaScript / MERN stack - competencies :Minimum 4 years hands-on experience in working with Full-Stack MERN apps, using both client-side and server-side JavaScriptStrong experience in client-side JavaScript Apps and building Static Web Apps + Dynamic Web Apps both in JavaScriptStrong hands-on experience in the React.js framework, and building stateful and stateless front-end apps using React.js componentsStrong hands-on experience in Server-Side JavaScript, and using frameworks like Node.js, to build services and APIs in JavaScriptGood experience with a Micro Services solution, and how to build the same with Node.js Gen-AI / LLM App Dev with Python – competencies :Minimum 2 years hands-on experience in Python developmentMinimum 2 years hands-on experience in working with LLMs and LLM modelsStrong experience with integrating data, both internal + external datasets, and building data pipelines, to ground LLMs in domain knowledgeStrong hands-on experience with Data Pre-Processing and Processing for LLM Apps and solutionsSolid Hands-on Experience with building end-to-end RAG pipelines and custom AI indexing solutions to ground LLMs and enhance LLM outputGood Experience with building AI and LLM enabled Workflows Hands-on Experience integrating LLMs with external tools such as Web Search Ability to leverage advanced concepts such as tool calling and function calling, with LLM modelsHands-on Experience with using LLMs for Research use cases and Research Workflows , to enable AI Research Assistants Hands-on Experience with Conversational AI solutions and chat-driven experiencesExperience with multiple LLMs and models – primarily GPT-4o, GPT o1, and o3 mini, and preferably also Gemini, Claude Sonnet, etc.Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and perferably also AWS Bedrock , and/or GCP Vertex AI .Experience with vector databases (Azure AI Search, AWS OpenSearch Serverless, pgvector, etc.).Hands-on Experience with Assistants and the use of Assistants in orchestrating with LLMsHands-on Experience working with AI Agents and Agent Services .Implement LLMOps processes, LLM evaluation frameworks, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to output evaluation.  Multi Modal AI – competencies :Hands-on Experience with intelligent document processing and document indexing + document content extraction and querying, using multi modal AI ModelsHands-on Experience with using Multi modal AI models and solutions for Imagery and Visual Creative – including text-to-image, image-to-image, image composition, image variations, etc.Hands-on Experience with Computer Vision and Image Processing using Multi-modal AI – for use cases such as object detection, automated captioning, etc.Hands-on Experience with using Multi modal AI for Speech – including Text to Speech, Pre-built vs. Custom VoicesHands-on Experience with building Voice-enabled and Voice-activated experiences, using Speech AI and Voice AI solutionsHands-on Experience with leveraging APIs to orchestrate across Multi Modal AI models Ability to lead design and development teams, for Full-Stack MERN Apps and Products/Solutions, built on top of LLMs and LLM models. Nice-to-Have capabilities : MERN Stack and Cloud-Native App Dev :Hands-on working experience with Server-side JavaScript Frameworks for building Domain-driven Micro Services, including Nest.js and Express.jsHands-on working experience with BFF frameworks such as GraphQLHands-on working experience working with a Federated Graph architectureHands-on working experience with API Management and API GatewaysExperience working with container apps and containerized environmentsHands-on working experience with Web Components and Portable UI components Python / ML LLM / Gen-AI App Dev :Hands-on Experience with building Agentic AI workflows that enable iterative improvement of outputHands-on experience with both Single-Agent and Multi-Agent Orchestration solutions and frameworksHands-on experience with different Agent communication and chaining patternsAbility to leverage LLMs for Reasoning and Planning workflows, that enable higher order “goals” and automated orchestration across multiple apps and toolsAbility to leverage Graph Databases and “Knowledge Graphs” as an alternate method / replacement of Vector Databases, for enabling more relevant semantic querying and outputs via LLM models.Good Background with Machine Learning solutionsGood foundational understanding of Transformer Models Some Experience with custom ML model development and deployment is desirable.Proficiency in deep learning frameworks such as PyTorch, or Keras. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry.