4 дня назад
Staff II Software Engineer (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff II Software Engineer (Agentic AI): Architecting and delivering scalable agentic AI systems for a secure, compliant financial platform with an accent on agent orchestration, model evaluation, observability, and production reliability. Focus on designing agent registries, policy engines, metrics pipelines, HITL workflows, and safe model deployment strategies while remaining deeply hands-on with C#, .NET, Python, and distributed systems.
Location: Bengaluru; candidates within a reasonable commute to a office must work onsite at least 3 days a week
Company
is a technology-based product company focused on finance automation and financial software.
What you will do
- Own the end-to-end architecture and long-term evolution of highly extensible, modular platform applications.
- Architect an agentic AI platform including an agent registry, policy engine, metrics ingestion pipeline, anomaly detection, and human-in-the-loop orchestration.
- Remain deeply hands-on by writing code, creating design sketches, resolving integration challenges, and debugging production issues.
- Fine-tune, prompt-engineer, and evaluate foundation models such as Gemini, GPT, and Claude for accounting-domain tasks.
- Guide Staff Engineers and Technical Leads through architecture sessions, design reviews, coaching, and hands-on mentorship.
- Establish observability, CI/CD, progressive delivery, quality gates, rollback paths, incident response, and production-readiness practices.
Requirements
- Bachelor’s or master’s degree in computer science or a related field.
- 15+ years of software engineering experience with strong distributed-systems depth across enterprise platforms.
- Experience architecting and deploying complex, production-grade systems at scale, preferably in regulated industries.
- Hands-on expertise with .NET, C#, Python, SQL Server, and Snowflake.
- Experience guiding Staff Engineers and Technical Leads, setting architecture direction, reviewing designs, and unblocking technical challenges.
- Strong grounding in observability and production monitoring, including metrics, logging, distributed tracing, and dashboards.
Nice to have
- FinTech or financial services domain experience.
- Experience with Google Vertex AI Agent Builder or similar managed agent platforms.
- Experience building, orchestrating, or governing AI agents and generative AI systems, including prompt engineering, model evaluation, and safety guardrails.
- Familiarity with DORA metrics and data-driven delivery improvement.
Culture & Benefits
- Collaborative agile environment focused on solving customer problems and innovating.
- Kind, open, and accepting culture that values diverse backgrounds and perspectives.
- Professional development seminars and inclusive affinity groups.
- Combination of virtual and in-person interaction to support collaboration.
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