We are seeking a multiskilled multifaceted Technical Development Lead with a deep expertise in Large Language models Generative AI and FullStack Cloud Native Application Development to join our dynamic product development team.
As a Development Lead you will play a key role in developing cuttingedge 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 AIenabled products cloudnative apps and cloud solutions.
- Technical delivery and 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 frontend backend APIs data and AI services
- Design and build enterprise products and fullstack 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 fullstack developers engineers and quality engineers to develop and integrate solutions into existing enterprise products.
- Collaborate with technology leaders and crossfunctional teams to develop and validate client requirements and rapidly translate them into working solutions.
Key Skills required :
Full Stack MERN App Dev FrontEnd BackEnd 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
MustHave capabilities:
- Strong Expertise in MERN stack (JavaScript) including clientside and serverside JavaScript
- Strong Expertise in Python based development including Python App Dev for LLM integration
- Wellrounded in both programming languages
- Handson Experience in frontend and backend development
- Handson Experience in Data Processing and Data Integration
- Handson Experience in API integration
- Handson Experience in LLM App Dev and LLM enabled solutions.
- Handson Experience in Multi modal AI models and tools.
- JavaScript / MERN stack competencies :
- Minimum 4 years handson experience in working with FullStack MERN apps using both clientside and serverside JavaScript
- Strong experience in clientside JavaScript Apps and building Static Web Apps Dynamic Web Apps both in JavaScript
- Strong handson experience in the React.js framework and building stateful and stateless frontend apps using React.js components
- Strong handson experience in ServerSide 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
- GenAI / LLM App Dev with Python competencies :
- Minimum 2 years handson experience in Python development
- Minimum 2 years handson 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 handson experience with Data PreProcessing and Processing for LLM Apps and solutions
- Solid Handson Experience with building endtoend RAG pipelines and custom AI indexing solutions to ground LLMs and enhance LLM output
- Good Experience with building AI and LLM enabled Workflows
- Handson 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
- Handson Experience with using LLMs for Research use cases and Research Workflows to enable AI Research Assistants
- Handson Experience with Conversational AI solutions and chatdriven experiences
- Experience with multiple LLMs and models primarily GPT4o GPT o1 and o3 mini and preferably also Gemini Claude Sonnet etc.
- Experience and Expertise in Cloud GenAI 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..
- Handson Experience with Assistants and the use of Assistants in orchestrating with LLMs
- Handson Experience working with AI Agents and Agent Services.
- Implement LLMOps processes LLM evaluation frameworks and the ability to manage GenAI apps and models across the lifecycle from prompt management to output evaluation.
- Multi Modal AI competencies :
- Handson Experience with intelligent document processing and document indexing document content extraction and querying using multi modal AI Models
- Handson Experience with using Multi modal AI models and solutions for Imagery and Visual Creative including texttoimage imagetoimage image composition image variations etc.
- Handson Experience with Computer Vision and Image Processing using Multimodal AI for use cases such as object detection automated captioning etc.
- Handson Experience with using Multi modal AI for Speech including Text to Speech Prebuilt vs. Custom Voices
- Handson Experience with building Voiceenabled and Voiceactivated experiences using Speech AI and Voice AI solutions
- Handson Experience with leveraging APIs to orchestrate across Multi Modal AI models
- Ability to lead design and development teams for FullStack MERN Apps and Products/Solutions built on top of LLMs and LLM models.
NicetoHave capabilities :
- MERN Stack and CloudNative App Dev :
- Handson working experience with Serverside JavaScript Frameworks for building Domaindriven Micro Services including Nest.js and Express.js
- Handson working experience with BFF frameworks such as GraphQL
- Handson working experience working with a Federated Graph architecture
- Handson working experience with API Management and API Gateways
- Experience working with container apps and containerized environments
- Handson working experience with Web Components and Portable UI components
- Python / ML LLM / GenAI App Dev :
- Handson Experience with building Agentic AI workflows that enable iterative improvement of output
- Handson experience with both SingleAgent and MultiAgent Orchestration solutions and frameworks
- Handson 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.
Location:
DGS India Pune Kharadi EON Free Zone
Brand:
Dentsu Creative
Time Type:
Full time
Contract Type:
Permanent