Job Title: Senior AI Agent Engineer (Finance & Operations)

Experience : 8+Years

Role Type : Contract to Hire (6 Months)

Shift : UK Shift (2-11 PM)

Position Overview :

We are seeking an expert AI Engineer to design, architect, and scale enterprise-grade multi-agent systems. In this role, you will lead the development of autonomous agent workflows leveraging Azure AI Foundry and state-of-the-art foundation models (GPT-6, etc.).

You will bridge robust backend engineering (FastAPI) with cutting-edge agentic orchestration, grounding intelligent agents in core enterprise financial domains—specifically Accounts Payable (AP) and Quote-to-Cash (Q2C) processes—while maintaining strict governance, full observability, and human-in-the-loop (HITL) validation.

Key Responsibilities

Agentic Architecture & Orchestration: Design multi-agent topologies and stateful workflows capable of complex planning, tool use, and enterprise integration.

Azure AI & Grounding: Utilize Azure AI Foundry to deploy, fine-tune, and ground LLMs against internal enterprise data sources securely.

Financial Workflow Automation: Architect intelligent autonomous agents to streamline Accounts Payable (invoice extraction, 3-way matching, exception handling) and Quote-to-Cash (configure-price-quote validation, billing reconciliation, order management).

High-Performance API Backend: Build scalable,



asynchronous microservices and endpoints using FastAPI to connect agents with financial ERPs and legacy systems.

Guardrails & Governance: Implement strict input/output guardrails to mitigate hallucinations, prompt injection, and data leaks.

Observability & Auditing: Deploy comprehensive tracing and logging for agent reasoning steps, token budgets, latency, and auditability required in financial workflows.

Human-in-the-Loop & Evaluation: Build automated LLM-as-a-Judge evaluation pipelines alongside human approval routing for critical financial decisions.

Required Qualifications & Technical Skills :

Core Engineering & Microservices: Expert-level Python programming, async paradigms, and API engineering with FastAPI.

Agentic Systems & Orchestration: Deep hands-on experience building agentic loops, function calling, stateful graphs, and multi-agent systems.

Cloud & Azure Ecosystem: Demonstrated proficiency with Azure AI Foundry, Azure OpenAI Service, model deployment, and cloud security patterns.

Safety & Evaluation: Practical experience implementing safety guardrails, semantic caching, and LLM-as-a-Judge evaluation techniques.

Observability & Audit Tracing: Experience instrumenting AI pipelines using tools like OpenTelemetry, LangSmith, Phoenix, or Azure AI Monitoring.

📌 Senior AI Agent Engineer (India)
🏢 atom systems private
📍 India