Staff Software Engineer - India

Dbt Power User; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Altimate AI is seeking a Staff Software Engineer to build backend systems for AI-enabled data products. You will design scalable backends, APIs, and microservices, and lead cloud-native infrastructure using Docker and Kubernetes.

Qualifications include 10+ years in Python-based backends, experience with LLM integration, and strong SQL knowledge. Knowledge of FastAPI and AI concepts is preferred. This role offers impact across global data teams.

Qualifications

• 10+ years of experience building Python-based web application backends and the infrastructure they run.
• Extensive experience in building scalable back-end systems, APIs, and microservices.
• Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Preferred: FastAPI for high-performance APIs; AI/ML concepts related to LLMs; strong SQL and query profiling; familiarity with SQL parsers like sqlglot.

Responsibilities

• Backend integration of LLM architectures; design data pipelines and AI endpoints for our SaaS and VSCode extension.
• Design and develop large-scale graph-based data structures to model complex data stores.
• Lead the SQL intelligence system: query profiling, AST analysis, parsing, and lineage-aware design.

Skills

Python backends

APIs design

Microservices

Cloud platforms

SQL proficiency

AI/ML concepts

LLMs familiarity

Tools

Docker

Kubernetes

FastAPI

sqlglot

Job description

Who are we?

Mission

Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization.

By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution.

You can read more about us in a recently published venture beat article.

Team

As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios.

What are we looking for?

We're in search of a Staff Software Engineer who brings a passion for innovation and problem-solving, not limited to traditional coding. This role is for those with deep expertise in server-side languages, database technologies, and cloud infrastructure, excited to design and build the backbone of our AI solutions. The ideal candidate will play a crucial role in enhancing our AI capabilities, developing high-performance back-end systems, and integrating advanced AI into data teams' daily workflows.

Qualifications:

Required:

• 10+ years of experience building Python-based web application backends and the infrastructure on which they run
• Extensive experience in building scalable back-end systems, APIs, and microservices
• Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)

Preferred:

• Experience with FastAPI for building high-performance APIs
• Familiarity with AI and machine learning concepts, particularly in the context of Large Language Models (LLMs)
• Strong proficiency in SQL, including query profiling, optimization, and performance tuning
• Experience with SQL Abstract Syntax Tree (AST) analysis and working with SQL parsers (e.g., sqlglot)

Why you should join Altimate AI

Projects You'll Work On:

• Backend Integration of LLM Architectures: Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems. Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension.
• Graph-Based Data Structure Design: Design and develop large-scale graph-based data structures that effectively model complex data stores. Create intricate, efficient structures that can be fed to our AI applications as context, ensuring both scalability and performance.
• Intelligent SQL Ecosystem: Lead the design and development of a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking. Leverage expertise in SQL query profiling, AST analysis, and parsing to create a sophisticated engine focused on query performance improvements and implementing granular column-level lineage.

Impact:

• Innovation at the Forefront: Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies.
• High Visibility & Impact: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries.
• Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community.
• Career Growth: This role is a launchpad into the rapidly advancing field of AI, offering exposure to state-of-the-art technologies and generative AI applications.