phoenix
phoenixPhoenix - Your AI Assistant
Inactive session will be ended in 24 hours
End Session

AI Chatbot Developer – Career Management Platform

  • Posted:
  • Proposals: 46
  • Remote
  • #4451731
  • OPPORTUNITY
  • Expired
Andrii M.Andranik T.Khalid H.Peter F.CYTNHIA W. + 41 others have already sent a proposal.
  • 8

Description

Experience Level: Expert
Estimated project duration: Ongoing
Project Overview

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.

New Proposal

Login to your account and send a proposal now to get this project.

Log in

Clarification Board Ask a Question

  • MST. SURAEA B.

    Should the blog/content used for RAG be structured in a certain way, or can I organize it during integration?

  • MST. SURAEA B.

    Do you want the chatbot to follow a specific style or tone for career guidance?

  • Andranik T.

    Do you have an existing technical infrastructure for vector storage, user data personalization, and conversation logging, or should the chatbot developer propose and implement a full end-to-end architecture for these components?

  • Andranik T.

    Could you clarify whether the platform already has structured career content (frameworks, taxonomies, job data, coaching guides) ready for RAG fine-tuning, or will part of the work involve organizing and preparing these materials for retrieval?

  • CYTNHIA W.

    What types of content/resources do you want included in the retrieval layer (articles, assessments, role descriptions, user history, etc.)?

    Do you currently have a vector database preference (Pinecone, Chroma, Weaviate), or should I recommend an optimal option based on scale and budget?