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

- Solid 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

📌 AI Engineer (Hyderabad)
🏢 Soul AI
📍 Hyderabad