SpanIdea Systems is looking for a highly experienced AI / ML Engineer with a strong data engineering and applied AI background. The role involves leading automation initiatives across code generation and test automation, collaborating with engineering teams to design and implement AI-driven solutions.
Responsibilities:
- Lead and drive AI-powered automation initiatives for code generation, refactoring, and test automation
- Design and implement Agentic AI systems using modern LLM frameworks and orchestration tools
- Collaborate with engineering teams to embed AI/ML solutions into existing development and CI/CD workflows
- Build, train, fine-tune, and evaluate ML and LLM models using structured and unstructured data
- Apply advanced data engineering and MLOps practices to ensure scalable and reliable AI solutions
- Stay current with the latest AI/ML, LLM, and Agentic AI advancements and translate them into practical implementations
- Define best practices, architectures, and governance for AI-driven automation
Requirements:
- 12+ years of experience in AI/ML engineering, with a strong data-centric background
- Deep expertise in machine learning, deep learning, and LLM-based systems
- Hands-on experience with code generation, test automation, or developer productivity tools
- Strong understanding of Agentic AI concepts, multi-agent systems, and AI orchestration
- Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch, etc.)
- Experience working with large datasets, data pipelines, and feature engineering
- Solid knowledge of MLOps, model deployment, and monitoring in production environments
- Ability to work cross-functionally with senior engineering stakeholders
- Background in software engineering, DevOps, or CI/CD automation
- Experience implementing AI governance, security, and compliance best practices