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Senior AI Platform Developer

3 weeks ago

Houston, TX, United States KniTT Full time

Senior AI Platform Developer

We are seeking an experienced Senior AI Platform Developer to take ownership of our enterprise-grade conversational AI system that powers multiple specialized bots for different business functions. This is a hands-on technical role that combines cutting-edge AI/ML development with enterprise integration and business stakeholder engagement.

Technology Stack:

Backend: Python 3.10+, FastAPI, Async/Await patterns

AI/ML: Azure OpenAI (GPT-5), prompt engineering, RAG patterns

Frontend: Vanilla JavaScript, MSAL.js authentication, Server-Sent Events

Databases: Snowflake, SQL Server, Azure Cosmos DB

Search: Azure AI Search with semantic ranking

Infrastructure: Ubuntu Linux, Nginx, Docker, Systemd

Cloud: Azure (OpenAI, Cosmos DB, Blob Storage, AI Search)

Auth: Azure AD with OAuth 2.0/OIDC

Key Responsibilities

1. Platform Development & Maintenance

Maintain and enhance the existing AI platform

Implement bug fixes and performance optimizations

Ensure 99.9% uptime for production services

Manage streaming responses, conversation history, and document exports

Handle natural language to SQL generation for database queries

Maintain authentication flow with Azure AD and token management

2. New Bot Development

Work with business stakeholders to identify AI automation opportunities

Design and implement new specialized bots following established patterns

Create intelligent system prompts with context injection

Integrate with enterprise data sources (databases, APIs, documents)

Implement RAG (Retrieval-Augmented Generation) patterns

Build natural language interfaces for complex business queries

3.Business Partnership

Meet with department heads to understand pain points

Translate business requirements into technical solutions

Demo capabilities and gather feedback

Create documentation for end users

Provide training and support for new features

Measure and report on bot usage and value delivered

4. Technical Excellence

Optimize Azure OpenAI token usage and costs

Improve response accuracy and relevance

Enhance error handling and user experience

Document code changes and architectural decisions

Participate in code reviews and knowledge sharing

Stay current with AI/ML best practices.

Required Technical Skills

Must-Have Experience

5+ years of Python development with strong async/await experience

2+ years working with LLMs (GPT-4, Claude, etc.) and prompt engineering

Production experience with FastAPI or similar async frameworks

SQL expertise including complex queries and database design

Cloud platforms - Azure preferred, AWS/GCP acceptable

Linux/Unix administration and shell scripting

Git version control and collaborative development

Required Knowledge Areas

Natural Language Processing: Understanding of embeddings, RAG, semantic search

Streaming architectures: SSE, WebSockets, async generators

Authentication: OAuth 2.0, JWT tokens, session management

Database systems: Both SQL and NoSQL paradigms

RESTful APIs: Design, implementation, and consumption

Infrastructure as Code: Docker, nginx configuration.