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3 Days ago

Senior AI Engineer

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5000000 - 6000000 INR - Yearly
Space Exploration & Research, Information Technology
Other
Uplers

Overview

Experience

: 7.00 + 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 is a requirement for one of Uplers' client - A Series A funded California based Software Development Company)

What do 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

A Series A funded California based Software Development Company is Looking for:

Senior AI Engineer

NLQ Systems, Agentic Workflows, Analytical Insights

Experience

7+ years total engineering experience with Python.

5+ years minimum proven production experience with AI agentic systems (LangChain, LangGraph, CrewAI, ADK or similar).

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!


About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

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