AI Solution Engineer

Gigalabs- · India

FULL TIME

Job Description

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.

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.

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.

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.

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.

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