Senior AI Engineer
Senior AI Engineer at CashFlo (Mumbai) building autonomous AI agents that execute CFO/finance workflows like accounts payable, reconciliation, and month-end close end-to-end. Work spans agent orchestration (LangGraph/LangChain, OpenAI/Anthropic/Google models), memory and knowledge graphs (Neo4j, pgvector), LLM evaluation frameworks, and production APIs on FastAPI, PostgreSQL, AWS/GCP.
- Compensation
- Not disclosed
- Location
- Maharashtra, Mumbai, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 5+ years of software/ML engineering experience, including 2+ years shipping LLM systems in production
- Proven experience building and deploying multi-step AI agents that perform real actions in production
- Strong understanding of agent failure modes, reliability and control mechanisms
- Experience designing memory and context strategies for long-running agents
- Hands-on experience building an LLM evaluation framework (datasets, metrics, automated judging)
- Experience working with at least two LLM model providers or model families
- Experience migrating or operating live LLM workloads in production
- Experience operating AI/ML systems at significant scale with measurable production outcomes
- Bachelor's/Master's degree in Computer Science, Computer Engineering or related field
- Advanced proficiency in Python
- Hands-on experience with LangGraph, LangChain, OpenAI Agents SDK or custom agent orchestration
- Working knowledge of graph databases such as Neo4j, Neptune or ArangoDB
- Understanding of graph data modelling, schema design and Cypher/Gremlin
- Strong API and data engineering fundamentals
- Experience with FastAPI, PostgreSQL and vector databases
- Experience deploying cloud-native applications on AWS, GCP or Azure
Nice to have
- Finance, accounting, audit or ERP/SAP domain exposure
- Experience with computer-use or browser automation agents
- Knowledge of GraphRAG and ontology design
- Experience with document AI/OCR
- Fine-tuning or serving open-weight models
- LLM observability and tracing using tools such as LangSmith, Langfuse or OpenTelemetry
- Understanding of enterprise AI security, governance and compliance
- Experience using AI coding agents as part of everyday software development
Full description
Senior AI Engineer – AI Vertical
Team: Engineering – AI Vertical
Experience: 5+ years, including 2+ years building and shipping LLM systems in production
Location: Mumbai – Andheri East
Reports to: Head of Engineering
Employment Type: Full-time
About CashFlo
CashFlo is building the next generation of AI-powered Finance & Accounting solutions for businesses.
India sees over $11 trillion in B2B money flows every year, yet businesses typically wait around 70 days to get paid. CashFlo is transforming this ecosystem through technology across Payments, Lending, SaaS and AI.
Our platform processes ₹20,000+ Cr of invoices every month, serving 300,000+ MSMEs and 1,200+ corporates, with 30+ lenders integrated for credit.
CashFlo is now building a dedicated AI vertical for the global market, and we're looking for a Senior AI Engineer to join our core engineering team.
About the Role
We are building AI agents that can operate core CFO workflows end-to-end — including accounts payable, month-end close, reconciliation, record-to-report, vendor management and compliance workflows.
These agents don't just recommend actions. They execute finance processes by interpreting documents, applying accounting and control logic, performing transactions in enterprise systems such as SAP, and escalating genuine exceptions for human review.
As a Senior AI Engineer, you will own systems end-to-end, from agent architecture and orchestration to production deployment, evaluation, reliability and scale.
Key Responsibilities
1. Build Production AI Agents
- Design and build autonomous agents for finance workflows such as invoice-to-pay, three-way matching, reconciliation, GL close and exception handling.
- Build tool and action layers over ERP systems and enterprise applications.
- Design approval workflows, human-in-the-loop checkpoints and segregation-of-duty controls.
- Build robust error recovery and ensure complete auditability of agent actions.
- Integrate with SAP APIs, ERP interfaces, documents and file-based systems.
2. Agent Memory & Knowledge Systems
- Design memory and context strategies for long-running agents.
- Work on context windowing, summarization, compaction, retention and forgetting policies.
- Build finance knowledge graphs covering vendors, invoices, POs, GRNs, GL accounts, contracts, approvals and provenance.