Senior AI Engineer

Uplers; Raipur; Sur place; INR 5 000 000 - 6 000 000; Plein temps

Résumé du poste

A technology recruitment company is looking for an AI Engineer to work on building the NLQ layer across MongoDB data and SQL-based KPI datasets. The candidate will design workflows that generate analytical insights and dashboards, collaborating closely with backend and product teams. Key skills include experience in agentic frameworks, strong knowledge of Python and AWS, and understanding of MongoDB. This is a full-time remote position with a competitive salary package.

Responsabilités

• Build NLQ modules to query MongoDB and SQL KPI data.
• Design agentic workflows for data retrieval, merging, and insight generation.
• Produce structured outputs for analytical dashboards and reporting.
• Deploy and optimise AI systems in AWS with proper monitoring.
• Collaborate with backend and product teams to translate requirements into workflow logic.

Connaissances

BI style data models

Snowflake or SQL warehouses

Agentic AI

CrewAI or ADK

LangChain

LangGraph

MongoDB

SQL

NLQ

AWS

Python

Description du poste

Overview

Experience: 7+ years. Salary: INR 5000000-6000000 / year (based on experience). Expected Notice Period: 7 Days. Shift: (GMT+05:30) Asia/Kolkata (IST). Opportunity Type: Remote. Placement Type: Full Time Permanent position (Payroll and Compliance to be managed by: A Series A funded California based Software Development Company).

Note: This opportunity is for one of Uplers' clients — a Series A funded California based Software Development Company.

What you need for this opportunity

Must have skills required: BI style data models, Snowflake or SQL warehouses, Agentic AI, CrewAI or ADK, LangChain, LangGraph, MongoDB and SQL, NLQ, AWS, Python.

Role Overview

We need an AI engineer to build the NLQ layer across our MongoDB data and SQL based KPI datasets, and create agent workflows that generate analytical insights and dashboards. You should have hands-on experience designing and shipping agent systems in production and be comfortable working across data, AI, and backend pipelines on AWS.

Key Responsibilities

• Build NLQ modules to query MongoDB and SQL KPI data
• Design agentic workflows for data retrieval, merging, and insight generation
• Produce structured outputs for analytical dashboards and reporting
• Deploy and optimise AI systems in AWS with proper monitoring
• Collaborate with backend and product teams to translate requirements into workflow logic

Required Skills

• Production experience with agentic frameworks like LangChain, LangGraph, CrewAI or ADK
• Strong Python or Node background for AI pipelines
• Solid understanding of MongoDB and SQL data systems
• Experience with retrieval pipelines, embeddings, and vector stores
• AWS deployment knowledge including monitoring and reliability practices
• Good understanding of KPI or analytics style data and output formats

Nice to Have

• Experience with dashboarding systems or BI style data models
• Familiarity with Snowflake or SQL warehouses
• Prior work building NLQ chat layers or semantic search systems

Engagement Type: Fulltime

Direct-hire on the payroll

Shift time: 11 PM to 4AM IST (Remaining IST Time)

Job Type: Permanent

Location: Remote

Interview Process: 3 Rounds

How to apply for this opportunity

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

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