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.

• 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.

• 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 JavaScript
• Strong experience in client-side JavaScript Apps and building Static Web Apps + Dynamic Web Apps both in JavaScript
• Strong hands-on experience in the React.js framework, and building stateful and stateless front-end apps using React.js components
• Strong hands-on experience in Server-Side JavaScript, and using frameworks like Node.js, to build services and APIs in JavaScript
• Good 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 development
• Minimum 2 years hands-on experience in working with LLMs and LLM models
• Strong experience with integrating data, both internal + external datasets, and building data pipelines, to ground LLMs in domain knowledge
• Strong hands-on experience with Data Pre-Processing and Processing for LLM Apps and solutions
• Solid Hands-on Experience with building end-to-end RAG pipelines and custom AI indexing solutions to ground LLMs and enhance LLM output
• Good 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 models
• Hands-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 experiences
• Experience 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 LLMs
• Hands-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 Models
• Hands-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 Voices
• Hands-on Experience with building Voice-enabled and Voice-activated experiences, using Speech AI and Voice AI solutions
• Hands-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.

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.js
• Hands-on working experience with BFF frameworks such as GraphQL
• Hands-on working experience working with a Federated Graph architecture
• Hands-on working experience with API Management and API Gateways
• Experience working with container apps and containerized environments
• Hands-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 output
• Hands-on experience with both Single-Agent and Multi-Agent Orchestration solutions and frameworks
• Hands-on experience with different Agent communication and chaining patterns
• Ability to leverage LLMs for Reasoning and Planning workflows, that enable higher order goals and automated orchestration across multiple apps and tools
• Ability 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 solutions
• Good 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.