Hybrid
Full-Time
Gurugram, Haryana
India
Skills
JavaScript
React.js
Full-Stack Development
AngularJS
HTML
HTML5
User Interface Design
Stack
User Experience (UX)
Written Communication
About the Role
Experience Required: 4 - 6 years in full stack development with proven experience in designing, building, and deploying Generative AI solutions, including agentic systems.
About Nebula9.ai: Nebula9.ai is a leading company in Applied Generative AI solutions, focusing on transforming various industries with innovative AI-driven strategies. Our mission is to empower businesses through cutting-edge AI solutions, including sophisticated Agentic AI systems and interoperability protocols, driving growth and operational efficiency in an ever-evolving digital landscape. We value innovation, integrity, collaboration, and excellence in everything we do.
Job Description:
Nebula9.ai is seeking a highly skilled and visionary Sr Full Stack Generative AI Engineer to join our pioneering team in Gurgaon. The ideal candidate will possess a robust background in end-to-end full stack development, coupled with deep, hands-on experience in leveraging Generative AI technologies to build impactful solutions, with a strong emphasis on AI Agents and Multi-Agent frameworks. You will be instrumental in architecting, developing, and deploying sophisticated AI applications, from conceptualization through to production, including systems that leverage emerging standards like Agent-to-Agent (A2A) and Model Context Protocol (MCP). This role requires strong proficiency across the full development stack (front-end, back-end, databases, and cloud infrastructure), advanced expertise in developing and integrating Generative AI models, and a solutioning DNA to tackle complex challenges.
Responsibilities:
Architect, develop, test, and deploy robust and scalable applications utilizing diverse Generative AI models and techniques, with a significant focus on RAG applications, Conversational AI, AI Agents, and Multi-Agent frameworks.
Lead the full-stack development efforts for Gen AI projects, ensuring seamless integration of AI capabilities into user-facing applications and backend systems, primarily using the MERN/MEAN stack.
Design and implement systems leveraging inter-agent communication protocols (e.g., A2A) and tool/capability integration protocols (e.g., MCP) to build modular and interoperable agentic solutions.
Collaborate closely with AI architects, data scientists, product managers, and clients to define requirements, design innovative solutions, and deliver high-quality AI-powered products.
Design and implement efficient data pipelines, MLOps workflows, and infrastructure for training, fine-tuning, evaluating, and serving Generative AI models and AI Agents.
Leverage tools and frameworks such as Langchain, LangSmith, LangServe, LlamaIndex, Flowise/LangFlow, and AutoGen to construct and manage complex AI applications and agentic systems.
Work extensively with vector databases, embedding models, and advanced prompt engineering techniques to optimize information retrieval and agent performance.
Implement and manage API development and integrations for internal services, third-party AI platforms (e.g., OpenAI, Google Gemini, Azure AI), and agent communication endpoints.
Optionally, fine-tune open-source or proprietary LLMs to meet specific client needs and improve domain-specific performance for AI Agents.
Drive the adoption of best practices in software engineering, AI development, and cloud architecture (AWS, Azure, GCP), including containerization (Docker, Kubernetes).
Actively research and stay ahead of the curve with the latest advancements in Generative AI, Agentic AI, AI interoperability protocols (like A2A, MCP), Machine Learning, and full stack technologies.
Champion and leverage GenAI tools and techniques to achieve 10X productivity improvements for yourself, the team, and in the solutions delivered to clients.
Mentor junior developers, participate actively in code reviews, contribute to technical documentation, and foster a culture of technical excellence and innovative solutioning.
Troubleshoot, debug, and optimize AI applications and agentic systems for performance, scalability, and reliability.
Required Skills & Experience:
4-6 years of professional experience in full stack development, with a significant portion dedicated to building and deploying production-grade applications.
Strong proficiency in core programming languages: Python (essential for AI/ML), JavaScript, and TypeScript (essential for full-stack, especially MERN/MEAN).
Proven expertise in the MERN stack or MEAN stack
Deep understanding and hands-on experience with Generative AI concepts, models (LLMs, diffusion models), and architectures, with a specific focus on building AI Agents and Agentic Systems.
Demonstrable expertise in advanced prompt engineering techniques and strategies for various LLMs and agent interactions.
Practical experience with Gen AI frameworks such as Langchain (required), LlamaIndex, and workflow/agent builders like n8n/Flowise/LangFlow or AutoGen.
Experience working with and managing vector databases and embedding models for RAG systems and agent knowledge.
Familiarity or experience with concepts and potential implementation of agent communication/interoperability protocols like A2A and MCP is highly desirable.
Experience with fine-tuning LLMs (preferred, but strong understanding is valuable).
Proficiency in API design, development (RESTful, GraphQL), and integration, including experience with platforms like OpenAI (GPT-4), Google Gemini, and Microsoft Azure AI services.
Solid understanding and experience with cloud platforms (AWS, Azure, or GCP), including services relevant to AI/ML workloads and application hosting.
Experience with containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
Proficiency with version control systems (Git) and agile/collaborative development methodologies.
Demonstrated solutioning DNA: ability to understand complex problems, design innovative and practical solutions, and see them through to implementation.
Proven ability to leverage GenAI for enhancing personal and team productivity.
Excellent analytical, problem-solving, and critical thinking skills.
Strong communication, collaboration, and leadership potential.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a closely related field.
A strong portfolio of projects demonstrating expertise in full-stack development and the successful application of Generative AI technologies, ideally including examples of AI agents, RAG systems, or complex AI-driven workflows.
How to Apply:
Interested candidates are invited to send their resume and a compelling cover letter to [email protected] with the subject line "Application for Full Stack Generative AI Engineer (Agentic Systems)". Please include links to your GitHub profile, and/or a portfolio showcasing relevant projects and contributions.
About Nebula9.ai: Nebula9.ai is a leading company in Applied Generative AI solutions, focusing on transforming various industries with innovative AI-driven strategies. Our mission is to empower businesses through cutting-edge AI solutions, including sophisticated Agentic AI systems and interoperability protocols, driving growth and operational efficiency in an ever-evolving digital landscape. We value innovation, integrity, collaboration, and excellence in everything we do.
Job Description:
Nebula9.ai is seeking a highly skilled and visionary Sr Full Stack Generative AI Engineer to join our pioneering team in Gurgaon. The ideal candidate will possess a robust background in end-to-end full stack development, coupled with deep, hands-on experience in leveraging Generative AI technologies to build impactful solutions, with a strong emphasis on AI Agents and Multi-Agent frameworks. You will be instrumental in architecting, developing, and deploying sophisticated AI applications, from conceptualization through to production, including systems that leverage emerging standards like Agent-to-Agent (A2A) and Model Context Protocol (MCP). This role requires strong proficiency across the full development stack (front-end, back-end, databases, and cloud infrastructure), advanced expertise in developing and integrating Generative AI models, and a solutioning DNA to tackle complex challenges.
Responsibilities:
Architect, develop, test, and deploy robust and scalable applications utilizing diverse Generative AI models and techniques, with a significant focus on RAG applications, Conversational AI, AI Agents, and Multi-Agent frameworks.
Lead the full-stack development efforts for Gen AI projects, ensuring seamless integration of AI capabilities into user-facing applications and backend systems, primarily using the MERN/MEAN stack.
Design and implement systems leveraging inter-agent communication protocols (e.g., A2A) and tool/capability integration protocols (e.g., MCP) to build modular and interoperable agentic solutions.
Collaborate closely with AI architects, data scientists, product managers, and clients to define requirements, design innovative solutions, and deliver high-quality AI-powered products.
Design and implement efficient data pipelines, MLOps workflows, and infrastructure for training, fine-tuning, evaluating, and serving Generative AI models and AI Agents.
Leverage tools and frameworks such as Langchain, LangSmith, LangServe, LlamaIndex, Flowise/LangFlow, and AutoGen to construct and manage complex AI applications and agentic systems.
Work extensively with vector databases, embedding models, and advanced prompt engineering techniques to optimize information retrieval and agent performance.
Implement and manage API development and integrations for internal services, third-party AI platforms (e.g., OpenAI, Google Gemini, Azure AI), and agent communication endpoints.
Optionally, fine-tune open-source or proprietary LLMs to meet specific client needs and improve domain-specific performance for AI Agents.
Drive the adoption of best practices in software engineering, AI development, and cloud architecture (AWS, Azure, GCP), including containerization (Docker, Kubernetes).
Actively research and stay ahead of the curve with the latest advancements in Generative AI, Agentic AI, AI interoperability protocols (like A2A, MCP), Machine Learning, and full stack technologies.
Champion and leverage GenAI tools and techniques to achieve 10X productivity improvements for yourself, the team, and in the solutions delivered to clients.
Mentor junior developers, participate actively in code reviews, contribute to technical documentation, and foster a culture of technical excellence and innovative solutioning.
Troubleshoot, debug, and optimize AI applications and agentic systems for performance, scalability, and reliability.
Required Skills & Experience:
4-6 years of professional experience in full stack development, with a significant portion dedicated to building and deploying production-grade applications.
Strong proficiency in core programming languages: Python (essential for AI/ML), JavaScript, and TypeScript (essential for full-stack, especially MERN/MEAN).
Proven expertise in the MERN stack or MEAN stack
Deep understanding and hands-on experience with Generative AI concepts, models (LLMs, diffusion models), and architectures, with a specific focus on building AI Agents and Agentic Systems.
Demonstrable expertise in advanced prompt engineering techniques and strategies for various LLMs and agent interactions.
Practical experience with Gen AI frameworks such as Langchain (required), LlamaIndex, and workflow/agent builders like n8n/Flowise/LangFlow or AutoGen.
Experience working with and managing vector databases and embedding models for RAG systems and agent knowledge.
Familiarity or experience with concepts and potential implementation of agent communication/interoperability protocols like A2A and MCP is highly desirable.
Experience with fine-tuning LLMs (preferred, but strong understanding is valuable).
Proficiency in API design, development (RESTful, GraphQL), and integration, including experience with platforms like OpenAI (GPT-4), Google Gemini, and Microsoft Azure AI services.
Solid understanding and experience with cloud platforms (AWS, Azure, or GCP), including services relevant to AI/ML workloads and application hosting.
Experience with containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
Proficiency with version control systems (Git) and agile/collaborative development methodologies.
Demonstrated solutioning DNA: ability to understand complex problems, design innovative and practical solutions, and see them through to implementation.
Proven ability to leverage GenAI for enhancing personal and team productivity.
Excellent analytical, problem-solving, and critical thinking skills.
Strong communication, collaboration, and leadership potential.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a closely related field.
A strong portfolio of projects demonstrating expertise in full-stack development and the successful application of Generative AI technologies, ideally including examples of AI agents, RAG systems, or complex AI-driven workflows.
How to Apply:
Interested candidates are invited to send their resume and a compelling cover letter to [email protected] with the subject line "Application for Full Stack Generative AI Engineer (Agentic Systems)". Please include links to your GitHub profile, and/or a portfolio showcasing relevant projects and contributions.
Apply for this position
Application Status
Application Draft
In Progress
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Expected within 5-7 days
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