AI Solution Engineer

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.