Nebula9.ai
Website:
nebula9.ai
Job details:
Job Title: Full Stack Senior Gen AI Engineer
Location: Gurgaon
Experience Required: 3+ years in full stack development with proven experience in designing, building, and deploying Generative AI solutions, including agentic systems.
Job Type: Full-time
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 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:
- 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 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 HR@nebula9.ai with the subject line "Application for Full Stack Generative AI Engineer (Agentic Systems)- JOB00136". Please include links to your GitHub profile, and/or a portfolio showcasing relevant projects and contributions.
Click on Apply to know more.