AI & ML Engineer

Stack

Responsibilities

• ▹Design, build, and operate production-grade AI/ML systems for Asteri's orchestration platform
• ▹Collaborate with backend, platform, and frontend engineers to integrate AI capabilities into product workflows
• ▹Deploy and iterate on LLM-based applications in production, evaluating quality, latency, and cost
• ▹Own retrieval and agentic systems (RAG pipelines, workflow agents, policy-driven logic) end-to-end
• ▹Define and run rigorous evaluation and testing, including offline experiments and production monitoring
• ▹Improve model performance through experimentation, tuning, and system-level optimization
• ▹Implement strong engineering practices for AI development: testing, CI/CD, versioning, rollback strategies

Requirements

• ▹Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
• ▹Strong proficiency in Python and experience building production software
• ▹5+ years of experience spanning software engineering and applied AI/ML development
• ▹Experience deploying and operating ML or LLM-based systems in production
• ▹Solid understanding of machine learning fundamentals, model evaluation, and system-level tradeoffs
• ▹Experience with cloud-based deployment of ML systems
• ▹Strong software engineering skills: systems design, testing, performance optimization

Nice to have

• ▹Experience with LLM frameworks (LangChain, LlamaIndex, Hugging Face)
• ▹Deep experience with RAG systems and optimization techniques
• ▹Familiarity with ML lifecycle and experimentation tools (MLflow, Weights & Biases, DVC)
• ▹Experience building distributed or data-intensive systems
• ▹Exposure to enterprise or regulated environments

Soft skills

About the company

Asteri builds an AI-native Work Intelligence and Orchestration platform that helps large enterprises understand how work is performed today and how it should be performed in the AI era, eliminating inefficiencies.