Python Developer with AI chatbot

Hi All,

Hope you are doing well,

Title: Python Developer with AI chatbot

Location:  Washington, DC (5 days Onsite)

Duration: 6-12 Months

Responsibilities:

• • Design, develop, and maintain scalable Python backend systems for a public-facing AI chatbot.
  • Design, implement, and consume RESTful APIs, essential for chatbot integration and backend communication.
  • Experience with chatbot platforms such as Rasa, Microsoft Bot Framework, or integrating with third-party services.
  • Collaborate with front-end developers to embed chatbot windows and ensure seamless user experience.
  • Experience with Large Language Models (LLMs) via APIs (OpenAI, Hugging Face).
  • Build Retrieval-Augmented Generation (RAG) pipelines.
  • Use embedding models and vector databases (e.g., FAISS, Pinecone) for semantic search.
  • Design and refine prompts for accurate, policy-compliant responses.
  • Implement authentication, authorization, and data privacy safeguards.
  • Integrate and manage LLMs, including prompt design, context management, retrieval-augmented generation (RAG), AI agents, and tool/function calling.
  • Ensure chatbot reliability, safety, and compliance through moderation, guardrails, and abuse prevention.
  • Implement monitoring, logging, and alerting to support production reliability and rapid issue resolution.
  • Design and analyze A/B tests to evaluate the impact of changes to chatbot prompts, models, or features.
  • Lead code reviews and enforce best practices to maintain high engineering standards.
  • Contribute to CI/CD pipelines, cloud deployments, and infrastructure decisions supporting high availability.
  • Evaluate and adopt new AI technologies and architectural improvements to support long-term scalability.
  • Be proactive, adaptable, and highly engaged – communicate clearly, raise risks early, and collaborate effectively to deliver high-quality code at speed.
  • Communicate with stakeholders and support user feedback.
  • Design, implement, and maintain relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) to support chatbot functionality, session management, and knowledge base storage.
  • Optimize database queries and ensure data integrity, security, and scalability.
  • Manage document indexing and updates in the knowledge base to ensure accurate and efficient retrieval.

Required Skills:

• • Deep expertise building, scaling, and maintaining production-grade Python applications.
  • Understanding of encryption, secure data storage, and transmission (SSL/TLS).
  • Experience implementing secure login systems (e.g., OAuth2, SAML, Multi-Factor Authentication).
  • Experience with testing frameworks.
  • Experience with relational (PostgreSQL, MySQL) and/or NoSQL databases (MongoDB).
  • Familiarity with automated deployment tools (e.g., Jenkins, GitHub Actions).
  • Strong Python backend engineering experience including API design, asynchronous programming, and system integration.
  • Ability to write clear technical documentation for maintainability and compliance.
  • Proficiency in managing and querying both relational databases and vector databases for semantic search.
  • Hands-on experience working with AI and LLMs in production environments.
  • Solid understanding of key AI/LLM concepts, including prompt engineering, RAG, AI agents, context management, evaluation and structured outputs.
  • Understanding of how to measure LLM performance using frameworks like Ragas, TruLens, or Arize Phoenix to evaluate faithfulness, relevance, and safety.
  • Demonstrated ability to solve complex technical problems and make sound architectural decisions in ambiguous environments.
  • Strong communication skills with a proven ability to be vocal, engaged, collaborative, proactive, and adaptable within cross-functional teams.