Full Stack Developer Node Js React Aws Python Ml

## About the Role We are building Amara, our AI-powered Digital Chief People Officer (CPO), and are looking for a Senior developer to drive its development and innovation. The role requires strong technical expertise in LLMs, NLP, Conversational AI, and full-stack development, along with leadership skills to guide a growing development team. ## Key Responsibilities - Lead the end-to-end development of Amara modules and features. - Architect and implement solutions using LLMs, NLP, and Conversational AI frameworks. - Work hands-on with MERN stack and Python for scalable application development. - Design and optimize prompt engineering workflows. - Integrate conversational models with Google Dialogflow or Vertex AI. - Ensure code quality, scalability, and performance of deployed systems. - Guide and mentor developers, ensuring timely project delivery. - Oversee technical documentation, version control, and agile task management. - Collaborate cross-functionally with product, design, and client-facing teams. ## Required Skills & Experience ### Technical Expertise - LLMs (Large Language Models) and NLP pipelines - Conversational AI development - MERN stack (MongoDB, Express.js, React, Node.js) - Python (fast APIs, integrations, data processing) - Prompt engineering and fine-tuning models - Google Dialogflow CX / Vertex AI conversational platforms ### Team Skills - Minimum 3–4 years of professional experience - Relevant 2+ years in Conversational AI / NLP / LLM projects - Familiarity with task management tools (e.g., Jira, Trello, Asana, ClickUp) - Comfortable working in a remote-first environment - Strong problem-solving ability, coding practices, and collaborative mindset. ## What We Offer - Opportunity to be part of the core team building a next-gen AI product. - Market-standard salary + ESOP options. - Work on cutting-edge AI/ML technologies with global impact. - Exposure to challenging real-world projects in AI, HRTech, and Digital Humans. ## Application Requirements - Resume with relevant experience. - Links to previous projects, GitHub/portfolio, or contributions relevant to Amara development. - Cover note on why you are excited about Conversational AI and LLMs. ## Screening Questionnaire - Share an example of a Conversational AI project you have worked on. What role did you play? - Explain how you have used LLMs (like GPT, LLaMA, etc.) in production applications. - What's your experience with Google Dialogflow CX / Vertex AI? Share a specific integration use case. - Describe your experience with MERN stack and Python in building scalable applications. - How do you approach prompt engineering for different conversational scenarios? - Share a situation where you led a development team — what challenges did you face and how did you solve them? - How do you ensure remote collaboration and task tracking in your team?