Salary
≈ $25k – $67k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 3+ years exp
Overview
Company
Impact
Profile match
Finantic AI is a fintech company delivering AI-driven finance and accounting solutions for commercial real estate to streamline lease management, accounting, and CFO services for insight-driven operations.
Responsibilities:
- Design and build scalable, resilient backend systems from the ground up for an AI-native finance and accounting automation platform.
- Architect data models for complex CRE finance workflows (AP, AR, lease accounting, multi-entity reconciliation).
- Build high-performance APIs and microservices using Python/Go with event-driven architectures.
- Design and optimize PostgreSQL/MongoDB schemas for financial data at scale.
- Build integrations with accounting systems (Yardi, NetSuite, MRI, QuickBooks, JD Edwards).
- Integrate LLM APIs and build orchestration layers for multi-agent workflows (LangGraph, CrewAI).
- Design human-in-the-loop workflows, exception handling systems, and accuracy monitoring pipelines.
- Own end-to-end technical architecture decisions and make critical build vs. buy choices.
- Work closely with AI engineers to productionize ML models and implement continuous learning pipelines.
Requirements:
- 3-6 years of backend engineering experience building production systems at scale.
- B. E. /B. Tech or M. E. /M. Tech/M. S. degree in Computer Science or equivalent from a top-tier engineering college.
- Proficiency in Python, Go, Node.js, or Java with a proven track record of building 0-to-1 products.
- Deep database experience: PostgreSQL, MySQL, MongoDB - schema design, query optimization, indexing.
- Cloud-native development experience: AWS/GCP/Azure, containerization (Docker/K8s), CI/CD pipelines.
- Can design scalable distributed systems and microservices architectures.
- Strong experience in API design - RESTful APIs, GraphQL, and event-driven architectures.
- Self-motivated and autonomous - high ownership, product thinking, clear communicator.
- Fast learner with startup DNA - thrive in ambiguity, move fast, and iterate based on feedback.
- Experience building AI/ML products (LLM integrations, RAG systems, agentic workflows).
- Experience with multi-tenant B2B SaaS platforms and financial systems.
- Prefer those who have built products from scratch that scaled as an early team member or a founder.
- Good to have experience with finance and accounting workflows, ERP integrations, or compliance systems (ASC 842 IFRS 16).
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