Senior AI & Machine Learning Engineer

SpanIdea Systems is seeking a highly experienced AI & Machine Learning Engineer to lead automation initiatives across software development. The role focuses on designing and implementing AI-driven solutions to enhance developer productivity through code generation and test automation.

Responsibilities:

• Design and implement AI/ML solutions for code generation, refactoring, and test automation using LLMs and agent-based systems
• Build and deploy agentic AI workflows (multi-agent systems, tool-using agents, autonomous pipelines) to automate SDLC processes
• Partner with software engineering teams to integrate AI-driven automation into CI/CD pipelines, developer tools, and testing frameworks
• Apply strong data engineering principles to build scalable pipelines for training, fine-tuning, evaluating, and monitoring models
• Evaluate and adopt the latest advancements in LLMs, foundation models, RAG, fine-tuning, prompt engineering, and model orchestration frameworks
• Lead experimentation and proof-of-concepts, then harden them into production-grade systems
• Define best practices for model evaluation, safety, reliability, observability, and cost optimization
• Mentor engineers and influence technical direction across teams
• Stay current with emerging trends in AI/ML, agentic AI, and developer productivity tooling

Requirements:

• 12+ years of experience in Data Engineering, Machine Learning, AI, or related fields
• Strong foundation in data engineering (ETL pipelines, distributed systems, data modeling, large-scale data processing)
• Hands-on experience with modern ML and deep learning, including model training, deployment, and lifecycle management
• Deep familiarity with LLMs and generative AI, including: Prompt engineering, RAG architectures, Fine-tuning and evaluation techniques, Model orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, etc.)
• Experience building or integrating AI-powered code generation and/or test automation systems
• Strong programming skills in Python (required); experience with Java, JavaScript, or similar languages is a plus
• Solid understanding of software engineering best practices, testing strategies, and CI/CD workflows
• Experience deploying ML systems in cloud environments (AWS, GCP, or Azure)
• Drive automation in code gen: 8 years (Required)
• Test automation: 5 years (Required)
• Experience with agentic AI systems, autonomous agents, or multi-agent architectures
• Familiarity with developer tooling, IDE integrations, or internal platform engineering
• Experience with model monitoring, evaluation frameworks, and AI observability tools
• Prior experience leading or influencing AI strategy at scale
• Background in MLOps and production ML systems
• AI/ML/Agentic AI: 10 years (Preferred)