AI Engineer

Overview

About Us:

Deccan AI Experts is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact.

About the Role

We are looking for an experienced engineer to architect and build complex, asynchronous pipelines integrating AI/ML. You will be responsible for the developing end-to-end lifecycle that tests and evaluates "Coding Agents" in an SDLC lifecycle.

Salary: Competitive

Location: On site (Hyderabad)

Role Responsibilities:

• Design and build asynchronous, production-grade AI/ML pipelines integrating autonomous coding agents.
• Develop code intelligence systems using AST/CST parsing and vector-based retrieval over large repositories.
• Integrate LLMs and agent frameworks to enable autonomous coding and repository-level reasoning.
• Build scalable, high-throughput backend systems in Python.
• Containerize and manage complex ML environments using Docker and multi-container setups.
• Write and maintain comprehensive automated tests to ensure reliability and correctness.
• Enforce high standards for code quality, abstraction, and maintainability.

Must-Have Qualifications

• 2+ years of experience in AI/ML engineering, backend systems, or developer tooling.
• Strong Python expertise, including concurrency and performance-oriented programming.
• Hands-on experience with coding agents (e.g., Cursor CLI, OpenHands, Aider) and autonomous reasoning loops.
• Proficiency in AST/CST parsing (Tree-sitter, LibCST) and large codebase indexing.
• Experience building RAG pipelines using vector databases such as ChromaDB.
• Extensive experience with Docker for containerizing and managing ML systems.
• Strong testing discipline with Pytest, PEP 8 compliance, and type hinting.
• Proven ability to conduct rigorous PR reviews and identify architectural, security, and performance issues.
• Experience with prompt engineering and agent optimization.