Senior Software Engineer - AI/ML

About the Role

Artian AI is looking for a Senior Software Engineer - AI/ML to lead development of core AI systems for our agentic automation platform. You will help design, build, and scale the AI architecture that enables autonomous agents to perform complex, high-stakes work for financial services customers.

This is a senior individual contributor role for someone who can operate across research-informed prototyping, production engineering, evaluation, and system design. You will be expected to make high-leverage technical decisions, mentor other engineers, and drive AI/ML projects from ambiguous problem statements to reliable product capabilities.

What You’ll Do

• Lead design and implementation of AI/ML systems that power autonomous financial-services workflows.
• Architect agentic systems involving LLMs, retrieval, embeddings, tool use, planning, classification, ranking, and structured reasoning.
• Build rigorous evaluation infrastructure for measuring agent quality, task completion, hallucination risk, accuracy, latency, and regressions.
• Translate customer and product needs into technical AI system designs that are reliable, auditable, and scalable.
• Own major AI/ML workstreams from exploration through production deployment.
• Partner closely with backend, product, and solutions teams to ensure AI capabilities are deeply integrated into the platform.
• Mentor engineers on AI system design, experimentation, evaluation, and productionization.
• Establish engineering standards for AI reliability, observability, safety, and maintainability.

What We’re Looking for

• Deep Python engineering experience and a track record of shipping production systems.
• Significant experience with applied ML, LLM systems, NLP, retrieval, embeddings, ranking, or agentic architectures.
• Strong system-design skills and the ability to reason about tradeoffs across accuracy, latency, cost, reliability, and maintainability.
• Experience building evaluation pipelines, offline and online metrics, model monitoring, or data feedback loops.
• Ability to operate independently in ambiguous environments and drive complex projects to completion.
• Strong technical judgment and the ability to distinguish promising AI techniques from fragile demos.
• Clear communication and mentorship skills.

Nice to Have

• MS/PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent industry experience.

Experience building production LLM applications, AI agents, RAG systems, or enterprise automation platforms.

• Experience with financial services, compliance, model risk management, auditability, or regulated enterprise workflows.
• Experience designing human-in-the-loop workflows, approval systems, or agent control mechanisms.
• Experience at an early-stage company where senior engineers are expected to shape product and architecture.