AI Engineer
Skills
MongodbPythonFastAPIOpenAI APIsLangChainLarge Language ModelsPrompt Engineering
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Python
- FastAPI
- OpenAI APIs
- LangChain
- LLMs
- Prompt Engineering
- SQL Alchemy
- PostgreSQL
- AWS/Azure Cloud
- Docker
- 3+ years software engineering experience
- 2+ years AI/ML and document processing experience
- Production-grade application development with Python
- Data modeling and database design
- Cloud platform experience with AWS or Azure
- Consulting experience and stakeholder management
- Async/await and Uvicorn
- SQLAlchemy 2.0 async and Alembic
- Pydantic and Pandas
- PostgreSQL performance tuning
- Document databases such as MongoDB or Cosmos DB
- CI/CD pipelines and testing practices
- Observability and logging best practices
Nice to have
- Consulting mindset
- Customer focus
- Strong communication
- Autonomous worker
- Adaptable
Day to day
- Design, develop, and deploy AI-powered features for an invoice audit platform using LLMs and document intelligence services.
- Build scalable asynchronous workflows for large-scale document classification extraction and assessment.
- Develop backend services in Python and FastAPI while integrating cloud AI services vector search and robust monitoring.