Senior Software AI Engineer

We are seeking a Senior Software AI Engineer to join a high-impact, AI-augmented modernization initiative for a leading global asset management firm. In this role, you will help modernize a mission-critical estate of 149 production applications using cutting-edge agentic AI coding workflows, specification-driven analysis, and automated remediation pipelines. The portfolio is predominantly C# / .NET and Python, with Angular, WPF/WCF frontends, SQL Server backends, and internal APIs. Working alongside senior London-based consultants, you will build and drive an advanced AI pipeline designed to improve existing codebases, lift automated test coverage past 70%, clear security vulnerabilities (CVEs), and migrate services to the cloud via GitHub Actions. Responsibilities Spec-Driven Insights & Agentic Diagnostics: Apply cutting-edge spec-driven approaches and agentic AI tooling (Copilot agent mode, internal client LLMs, Cursor, Windsurf, or Claude Code) to analyze code health, perform deep-dive assessments, and triage defects at scale.Vulnerability Remediation: Validate and fix pre-identified security vulnerabilities, execute dependency upgrades, and resolve SAST/DAST/CVE findings to pass quality gates into modern delivery platforms.Test Engineering & Quality Hardening: Build out functional, integration, and end-to-end test suites using AI tooling, replacing ineffective tests with high-confidence automated suites to reach 70%+ coverage.Pipeline Extension & BAU Scaling: Enroll additional portfolio services into the standing agentic analysis and remediation pipeline while continuously refining the pipeline's automation patterns.Extended Architectural Analysis: Perform deep architectural evaluations for flagship codebases exceeding 500k LoC to formulate targeted analysis and refactoring strategies.Stakeholder Collaboration: Partner directly with London-based onsite consultants, business stakeholders, and technical teams to validate findings, prioritize backlogs, and align on remediation goals. Requirements General Engineering & Legacy Experience: Strong general software engineering background with proven ability to navigate, understand, and contribute production-quality changes across under-documented legacy codebases.Agentic AI & LLM Proficiency: Demonstrated, hands-on experience using LLMs in software engineering settings to drive agentic coding workflows, generate tests, and remediate non-trivial code at scale.Testing Discipline: Genuine test engineering mindset—writing high-confidence tests by default and differentiating between raw line coverage and true functional confidence.Autonomy & Communication: High autonomy with a pragmatic, get-it-done attitude; fluent written and spoken English with clear technical communication capabilities.Location: Based in Poland, comfortable working in a hybrid model (3 days per week in-office) with regular collaboration across Poland and London teams. Nice to have Core Tech Stack Experience: Production experience with C# / .NET (.NET Framework to .NET 6/8 modernization, WPF/WCF replacement) and/or Python.Spec-Driven & Pipeline Tooling: Exposure to specification-driven AI tools (e.g., JUXT's Allium or GitHub's spec-kit) or experience building repeatable code-analysis pipelines.Security & CI/CD: Practical experience with CVE triage, dependency upgrades, SAST/DAST tools, and enterprise CI/CD platforms (GitHub Actions, Azure DevOps, Octopus Deploy).Domain Knowledge: Prior experience in financial services, asset management, or other heavily regulated enterprise environments. We offer Opportunity to work on bleeding-edge projectsWork with a highly motivated and dedicated teamCompetitive salaryFlexible scheduleBenefits package - medical insurance, sportsCorporate social eventsProfessional development opportunitiesWell-equipped office About Us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.