Senior AI & Data Platform Engineer (Remote, BigQuery)

Nodi; Islamabad; Remote; PKR 27,706,000 - 35,262,000; Full time

Job summary

Altura is seeking a hands-on Senior AI & Data Platform Engineer to own the data and conversational AI components of an enterprise SaaS analytics platform. You will lead the BigQuery analytical layer, governed data APIs, and a production-ready AI analytics agent, collaborating with leadership and another senior engineer.

The role requires 5+ years in Python, data engineering, and backend work, with strong BigQuery, SQL, and GCP skills.

Qualifications

• 5+ years of Python, backend, and data engineering experience.
• Strong BigQuery, SQL, and Google Cloud Platform skills.
• Proven experience implementing LLM agents in production.
• Experience with function calling, Redis, APIs, and Pydantic.
• Familiarity with semantic layers, dimensional modeling, and dbt/Dataform.
• Understanding of SaaS security, access controls, and data governance.
• Professional English communication skills.
• Ability to work independently and meet technical milestones.

Responsibilities

• Review and extend BigQuery data layers (Bronze, Silver, Gold).
• Implement multi-tenant Row-Level Security and PII masking.
• Define governed semantic metrics and typed analytical APIs.
• Reconcile KPIs with Power BI reporting.
• Build an AI analytics agent using Vertex AI or equivalent.
• Implement function calling, Pydantic/JSON Schema, and structured JSON outputs.
• Manage AI sessions with Redis and ensure tenant isolation.
• Integrate forecasting services and analytical APIs.
• Create automated evaluations, tests, and documentation.
• Ensure the LLM cannot generate or execute SQL directly.

Skills

Python backend

Data engineering

BigQuery

SQL

GCP

LLM agents

Redis

Pydantic

APIs

Semantic layer

Tools

BigQuery

SQL

Google Cloud Platform

Redis

Pydantic

dbt

Dataform

Job description

Altura is seeking a hands-on Senior AI & Data Platform Engineer to own the data and conversational AI components of an enterprise SaaS analytics platform. You will lead the BigQuery analytical layer, governed data APIs, and a production-ready AI analytics agent, collaborating with leadership and another senior engineer.

The role requires 5+ years in Python, data engineering, and backend work, with strong BigQuery, SQL, and GCP skills.