Role: Senior Python ML Engineer
Client: PlexTrac
Location: Remote
Job Description:
Backend Language \& Framework
: Python with Flask for the web application and backend REST APIs.
Frontend
: ReactJS library for the user interface.
Database
: PostgreSQL for storing customer information and runtime-generated SQL queries.
Data Training \& Embedding
: Google BigQuery for embedding training data, with a dedicated service for deploying Q\&A used in LLM training.
AI/LLM Integration
: Google Gemini and Vertex AI as external AI endpoints for LLM responses.
Text-to-SQL Service
: Service that converts user prompts to SQL queries, processed by the LLM.
Orchestration \& Agents
: LangChain for agent development and prompt orchestration, including RAG-like workflows.
PlexTrac Developer Candidate should have
the
following skills:
Python Expert
Flask/Django/Fast API Experience
RESTAPI Fundamentals
Test Driven Development Experience
GCP Knowledge or AWS
AI/ML Knowledge- need to have an understanding
PostgreSQL
Good to have knowledge on UI/UX(Preferably React JS)