AI Engineer

USEReady Inc.; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

USEReady Inc. in Bengaluru seeks a hands-on AI Engineer to build intelligent enterprise solutions using Python, GenAI, and FastAPI. You will develop production-ready AI apps and REST APIs, collaborating with data engineers, BI developers, and product teams.

You will integrate AI with BI/data platforms such as Power BI, Snowflake, Databricks, and Tableau, work on LLMs and tool integrations, and design scalable pipelines with testing, logging, and error handling.

Qualifications

• 3–5 years of software/AI engineering experience.
• Strong Python and FastAPI experience.
• Hands-on experience with Generative AI / LLMs.
• Good understanding of REST APIs, SQL, JSON/YAML, and data processing.
• Experience with at least one BI/Data platform — Power BI, Microsoft Fabric, Snowflake, Databricks, Tableau, etc.
• Strong problem-solving and software engineering fundamentals.

Responsibilities

• Develop production-ready AI/GenAI applications using Python and LLMs.
• Build REST APIs and backend services using FastAPI.
• Work with LLMs, prompt engineering, RAG, AI agents, and tool integrations.
• Integrate AI solutions with BI and data platforms such as Power BI, Microsoft Fabric,Snowflake, Databricks, or Tableau.
• Work with metadata, data models, semantic models, and data transformation pipelines.
• Design scalable solutions integrating AI, APIs, databases, and enterprise platforms.
• Build testing, validation, logging, and error‑handling mechanisms.
• Collaborate with architects, data engineers, BI developers, and product teams.

Skills

Python

FastAPI

Generative AI

LLMs

REST APIs

SQL

JSON/YAML

Data processing

Problem solving

Tools

Power BI

Microsoft Fabric

Snowflake

Databricks

Tableau

LangChain

LangGraph

Azure

AWS

GCP

Job description

Description

We are looking for a hands‑on AI Engineer with strong experience in Python, Generative AI, FastAPI, APIs, and BI/Data platforms to build intelligent enterprise solutions.

Key Responsibilities

• 1. Develop production‑ready AI/GenAI applications using Python and LLMs.
• 2. Build REST APIs and backend services using FastAPI.
• 3. Work with LLMs, prompt engineering, RAG, AI agents, and tool integrations.
• 4. Integrate AI solutions with BI and data platforms such as Power BI, Microsoft Fabric,Snowflake, Databricks, or Tableau.
• 5. Work with metadata, data models, semantic models, and data transformation pipelines.
• 6. Design scalable solutions integrating AI, APIs, databases, and enterprise platforms.
• 7. Build testing, validation, logging, and error‑handling mechanisms.
• 8. Collaborate with architects, data engineers, BI developers, and product teams.

Required Skills

• 1. 3–5 years of software/AI engineering experience.
• 2. Strong Python and FastAPI experience.
• 3. Hands‑on experience with Generative AI / LLMs.
• 4. Good understanding of REST APIs, SQL, JSON/YAML, and data processing.
• 5. Experience with at least one BI/Data platform — Power BI, Microsoft Fabric, Snowflake, Databricks, Tableau, etc.
• 7. Strong problem‑solving and software engineering fundamentals.

Must Have

• 1. LangChain / LangGraph
• 2. RAG / Agentic AI
• 3. Azure / AWS / GCP
• 4. MCP and AI tool integration