We are looking for a freelance AI Chatbot Developer to build and optimize a conversational AI assistant for our career management platform. The chatbot will help users explore career options, set goals, get personalized recommendations, and access coaching-style guidance.
Scope of Work
Develop an AI-powered chatbot using LLMs (OpenAI, Anthropic, etc.) tailored to career development workflows. Create dialog flows, prompts, and conversational logic that deliver personalized guidance and support. Integrate the chatbot into our existing web and/or mobile platform.
Set up and fine-tune retrieval (RAG) using our content, resources, and user data (as allowed). Implement intent detection, context tracking, and user personalization features. Build internal tools for conversation review, testing, and iteration. Ensure all responses are accurate, safe, and aligned with career coaching best practices. Optimize model performance, latency, and cost. Provide documentation and optional post-launch support.
Required Skills Proven experience developing AI or NLP-based chatbots, ideally using next-gen LLMs. Strong proficiency in Python, Node.js, or similar backend languages. Experience with RAG pipelines, vector databases (e.g., Pinecone, Weaviate, Chroma), and prompt engineering. Ability to translate career coaching frameworks into conversational experiences (or willingness to learn). Experience integrating AI systems into production apps (APIs, webhooks, front-end handoff). Good communication, documentation, and self-management—comfortable working independently.
Nice-to-Have
Background in career coaching, HR tech, edtech, or talent development. Experience with analytics and A/B testing for conversational AI. Knowledge of AI safety, bias mitigation, and user experience best practices.
PDF to Word Data Entry Category: Data Entry, Data Extraction, Database Management, Excel, Google Sheets, Microsoft Word, PDF, Typing, Word Budget: ₹12500 - ₹37500 INR
