AI/ML Engineer (Freelancer)

About Us

Deccan AI Experts is a pioneering AI company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in high-quality human-curated data, AI-first operations, and advanced AI evaluation systems. Our global network of financial crime, compliance, risk, and AI experts helps train and evaluate next-generation AI models through expert AML knowledge, transaction monitoring expertise, and regulatory compliance experience.

About the Role

We are seeking an AI Engineer with strong proficiency in Python backend, MLops, LLM API, GenAI space( RAG, AGENTS, MCP) and solid object-oriented programming fundamentals . The candidate should be capable of designing, building, and explaining modular, production-quality code for AI/ML systems.

The role emphasizes Python engineering depth in addition to AI system understanding.

Core 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.
• Experience with clean API design and modular code structure

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 in backend technologies such as Flask, FastAPI
• Experience with prompt engineering and agent optimization.

Why Join Us

• Competitive Compensation: ₹13–15 LPA (based on skills and experience).
• Initial Contract Duration: 3 months , with a strong possibility of extension based on project requirements and performance .
• Work on cutting-edge AI technologies, including LLMs, RAG, AI Agents, MCP (Model Context Protocol), autonomous coding agents, and production-grade AI systems .
• Collaborate with a highly skilled engineering team solving real-world AI and developer tooling challenges.