[Remote] Senior Agentic Software Engineer

Note: The job is a remote job and is open to candidates in USA. ST6 is a leading portfolio management and analytics platform helping institutional investors navigate today's complex global markets. They are seeking a Senior Agentic Software Engineer who will deliver production features and modernizations across their stack, utilizing AI-native workflows and contributing to sprint commitments.

Responsibilities

• Deliver production features and modernizations across our stack using agentic development as your primary workflow
• Work in brownfield environments, adding new functionality to existing code with the same AI-native discipline as greenfield work
• Build out and operate multi-agent workflows where distinct roles (requirements, architecture, testing, development) operate in parallel and in coordination
• Pair with existing engineers on real problems to transfer agentic working habits in practice
• Validate agent output continuously, knowing when to intervene and when to let work run based on how well requirements were established upfront
• Contribute to timely sprint delivery and consistently meet or exceed release schedule targets
• Maintain software quality by managing escaped defects and contributing to backlog reduction over time
• Produce scalable, efficient, and well-documented code

Skills

• 5 to 9 years of professional software engineering experience
• Strong fluency in Java or Python on AWS, or C# on Azure
• Production ownership history: you have shipped non-trivial systems and been accountable when things went wrong
• At least one significant out-of-depth experience, whether a stack switch, a domain change, or a greenfield build in unfamiliar territory
• 6 or more months of serious, production-grade agentic tool use (Claude Code, Cursor, or equivalent). Production work only, not pilots or experiments
• Demonstrated ability to build product with AI, not just use AI within existing workflows
• Concrete understanding of when to let an agent run versus when to intervene, grounded in how well requirements were established before the work started
• Experience reviewing and validating work you did not write, including agent-generated output
• Familiarity with building multi-agent frameworks where distinct roles operate concurrently

Company Overview