Note: The job is a remote job and is open to candidates in USA. Solovis 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 to deliver production features and modernizations, utilizing AI-powered capabilities and agentic workflows across their tech stack.
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