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Onsite or remote • Delhi+7🌐 Remote💼 Full-time🗓 2026-06-25

Core

Building agentic financial operating systems for PE-backed mid-market companies where AI agents perform accounting tasks like computing accruals, reconciling transactions, and generating journal entries.

Role type

Founding AI Engineer (Agentic Systems)

Builds

Production agentic workflows and LLM pipelines for financial reconciliation and accrual computation.

Domain

Fintech / Accounting / Agentic AI

Deliverable

production ML models

Required skills

Python backend development, agentic workflow architecture, LLM orchestration, prompt engineering, tool-use patterns, structured output validation, evaluation frameworks, observability, Temporal workflows, PostgreSQL, FastAPI, AWS

Preferred skills

Fintech or accounting domain knowledge, ERP system experience, 0→1 startup experience

Technologies

Python, FastAPI, PostgreSQL, Temporal, Anthropic Claude APIs, Langfuse, AWS

Responsibilities

Design multi-step LLM pipelines with tool use and self-correction; build financial reconciliation and accrual agents; integrate with existing APIs and observability tools; define production application of AI to accounting workflows.

Seniority

Founding team, hands-on IC

Rewrite
## About the role MIRIAN AI is building the agentic financial operating system for PE-backed mid-market companies. Our AI agents don't just track tasks — they do the actual accounting work: computing accruals, reconciling transactions, generating journal entries, and improving with every close cycle. Humans review and approve. ## What you'll own - Agentic workflow architecture — multi-step LLM pipelines with tool use, memory, self-correction, and human-in-the-loop checkpoints - LLM orchestration — prompt engineering, structured output parsing, retrieval-augmented generation, evaluation frameworks - Financial reconciliation and accrual computation agents that learn from historical patterns - Integration with Anthropic Claude APIs, Langfuse observability, and Temporal workflows - Defining how AI gets applied to real accounting workflows — not theoretical, production ## Stack - Python - FastAPI - PostgreSQL - Temporal - Anthropic Claude APIs - Langfuse - AWS ## You should have - 4-5+ years software engineering experience, with at least 1-2 years building agentic or multi-step LLM systems in production - Deep understanding of tool-use patterns, chain-of-thought reasoning, retry/self-correction loops, and structured output validation - Strong Python backend skills — you're not just an ML researcher, you ship production code - Experience with evaluation and observability for LLM systems - Ownership mindset — you figure out what needs to happen and do it ## Nice to have - Fintech, accounting, or ERP domain knowledge - Prior 0→1 startup experience ## What we offer - Founding-team ESOPs and impact — shape the product and architecture from day one - $5B+ market dominated by legacy tools with zero agentic AI in production - Remote-friendly, flexible hours
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