JobHabor
Sign inEarly access
Menu

AI Solution Engineer (Agentic & Prompt)

Gigalabs (Pvt) · Lahore, Pakistan

About Gigalabs (Pvt)

1 open job
5555

Hiring signal

Stale

Open 66 days · How we score

All reasons
  • Open 66 days

In its favour

  • Still listed on the employer's own board

Hide postings like this across the board with Pro

Did you apply?

AI Solution Engineer (Agentic & Prompt) at Gigalabs (Pvt). We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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.

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.

Skills

Similar roles