Staff Backend Engineer

Altimate AI; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Altimate AI is seeking an experienced backend developer to lead the development of innovative infrastructure supporting Large Language Model (LLM) architectures. Your role will involve building scalable systems, optimizing SQL queries, and implementing data pipelines crucial for our SaaS applications. With over 10 years of Python experience required, this position offers a unique chance to impact global teams across more than 100 countries while working with cutting-edge technology in the AI field.

Qualifications

• 10+ years of experience in Python-based web application backends.
• Experience in building scalable back-end systems and APIs.
• Deep understanding of cloud platforms and containerization.

Responsibilities

• Lead backend development for Large Language Model architectures.
• Design large-scale graph-based data structures.
• Develop SQL intelligence systems for query optimization.

Skills

Python programming

API development

Microservices architecture

Cloud platforms (AWS, Azure, GCP)

Docker

Kubernetes

FastAPI

SQL proficiency

AST analysis

Job description

Responsibilities

• 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.
• 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.
• 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

• Push the boundaries of software engineering by combining traditional techniques with cutting‑edge AI technologies.
• Directly affect the productivity and capabilities of global data teams, as contributions will be crucial to the daily operations of thousands of users spread across 100+ countries.
• Contribute to open‑source initiatives, gaining recognition in the tech community.
• Underscore rapid career growth in the burgeoning field of AI, offering exposure to state‑of‑the‑art technologies and generative AI applications.

Requirements

• 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).