
AI Engineer for FastAPI & AI-Driven Platforms – UK/USA
About Our Engineers
With 6+ years of experience in Python systems and 3+ years integrating LLMs into real-world apps, this engineer delivers powerful AI-first backends built on FastAPI. They are trusted by product teams to handle critical features like smart assistants, real-time chat, voice AI, and document processors with high uptime and low latency.
Key Expertise & Skills
FastAPI Architecture
GPT Automation Tools
Whisper Audio Processing
Token Management Systems
Multilingual Chat APIs
LangChain Tooling
Secure Deployment
Task-Oriented API Design
Technologies & Tools
FastAPI
Python
GPT-4 API
Whisper
LangChain
Hugging Face Transformers
Docker
PostgreSQL
Celery
Redis
Firebase
Supabase
Azure Functions
Cloud Run
Streamlit
Projects Our Engineers Have Worked On
- LLM-Powered Support Chat Engine – Built a secure FastAPI backend to handle GPT-powered customer support, logging sessions, fallback routing, and agent handover across languages.
Audio Intelligence Pipeline – Created an API that processes uploaded voice notes using Whisper + GPT, tags critical topics, and sends Slack summaries in under 30 seconds.
Legal Copilot API Suite – Developed FastAPI microservices that read contracts, summarize sections with GPT, and flag clauses for review—used by multiple paralegal teams.
Smart SEO Content Writer – Built a marketing automation API where GPT generates blog posts, meta tags, and outlines in real time, delivered via REST and Streamlit frontend.
FastAPI Resume Scoring API – Created an async endpoint where HR teams upload resumes, receive GPT-generated match scores, and get automated follow-up templates.
Form-to-Action NLP API – Engineered a system where form entries are analyzed using GPT prompts to generate tasks, calendar events, or replies via webhooks.
Who Should Hire This Engineer?
SaaS teams integrating GPT into core workflows
AI startups building document copilot tools
Healthcare or HR teams using voice-to-text NLP
CTOs needing production-grade AI endpoints
Platforms deploying LLM-backed microservices