AI Solution Engineer

Gigalabs-; Lahore; On-site; PKR 2,400,000 - 3,600,000; Full time

Job summary

Gigalabs invites a capable Backend/AI Engineer to join our onsite team in Johar Town, Lahore. You will design and implement AI-powered APIs, automate workflows with n8n, and ensure high data quality for LLM pipelines.

Proficiency in Python, REST APIs, and PostgreSQL with vector data is essential. We seek 3+ years of hands-on experience, with a strong track record in FastAPI/Flask, LangChain, and database design.

Qualifications

• Hands-on proficiency in Python for data manipulation and backend logic.
• Experience building, documenting, and maintaining RESTful APIs with FastAPI and Flask.
• Ability to wrap data models and scripts into deployable services.

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 inputs fed into LLM pipelines are clean and outputs are accurate.
• Database Management: Maintain and optimize PostgreSQL to handle relational and vector data.

Skills

Python Proficiency

API Development

Microservices

LLM Pipelines

OpenAI API

Prompt Engineering

PostgreSQL Mastery

Vector Data

Data Modeling

n8n Workflow Automation

ETL/ELT

Tools

FastAPI

Flask

pgvector

LangChain

LlamaIndex

n8n

Job description

Job Brief:
Employment Type: Full time, Onsite
Timings: 12PM-9PM
Location: Johar Town, G4
Experience: 3+ 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.

Automation & Orchestration

• n8n Workflow Automation: Strong experience creating complex, conditional workflows in n8n to connect disparate services (Webhooks, APIs, Databases).

• ETL/ELT: Ability to automate data extraction and transformation pipelines using n8n and Python scripts.