Job Brief: Employment Type: Full time, Onsite Timings: 12PM-9PM Location: Johar Town, G4 Experience: 4-5 years Responsibilities:
Develop AI-Driven APIs: Build internal tools and endpoints using FastAPI that serve data insights powered by LLMs.
Automate Business Logic: Replace manual data entry and analysis tasks with autonomous n8n workflows.
Data Quality Assurance: Ensure the inputs fed into LLM pipelines are clean and the outputs generated are accurate and hallucination-free.
Database Management: Maintain and optimize the PostgreSQL instance to handle increasing loads of relational and vector data.
Requirements:
Candidates must possess hands-on proficiency in the following areas:
Core Programming & APIs
Python Proficiency: Advanced knowledge of Python for data manipulation and
backend logic.
API Development: Proven experience building, documenting, and maintaining RESTful APIs using FastAPI (preferred for async capabilities) and Flask.
Microservices: Ability to wrap data models and scripts into deployable services.
AI & LLM Integration
LLM Pipelines: Experience constructing chains and agents (e.g., using LangChain,
LlamaIndex, or custom scripts) to process text and data.
OpenAI API: Deep familiarity with the OpenAI ecosystem (GPT-4, Assistants API, function calling) and cost optimization strategies.
Prompt Engineering: Demonstrated ability to design system prompts that yield consistent, structured outputs (JSON) from unstructured data.
Database & Data Management
PostgreSQL Mastery: Advanced SQL skills including complex joins, window
functions, and performance tuning.
Vector Data: Experience with vector embeddings and vector similarity search (e.g., using pgvector in PostgreSQL) for RAG (Retrieval-Augmented Generation) implementations.
Data Modeling: Ability to design efficient database schemas to store historical data and LLM interaction logs.
