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?