AI Engineer -2

USEReady Inc.; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

USEReady Inc. in Bengaluru is seeking a hands-on AI Engineer to build intelligent enterprise solutions using Python, GenAI, and FastAPI.

You will design production-ready AI applications, REST APIs, and data pipelines, collaborating with architects, data engineers, BI developers, and product teams. The role emphasizes cloud integrations (Azure/AWS/GCP), LangChain tools, RAG approaches, and seamless BI platform integrations (Power BI, Snowflake, Databricks, Tableau) to deliver scalable AI-powered

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.

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

BI/Data platforms

Tools

LangChain

LangGraph

Azure

AWS

GCP

MCP tool integration

Job description

Job 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.
6. 7. Strong problem-solving and software engineering fundamentals.

Must Have

• LangChain / LangGraph
• RAG / Agentic AI
• Azure / AWS / GCP
• MCP and AI tool integration