Lead Engineer – Payments, AI

Jobtailor; Mumbai; On-site; INR 4,500,000 - 9,000,000; Full time

Job summary

Jobtailor is seeking an senior software leader to design and build AI agents for end-to-end payment transactions. You will translate payment requirements into robust agent workflows, APIs, and enterprise integrations, while defining orchestration and state management architectures.

You will lead with hands-on Python development, contribute to the design of scalable, secure systems, and mentor engineers across the lifecycle.

Qualifications

• 10+ years of software engineering experience with architecture and leadership.

Responsibilities

• Design and build AI agents for end-to-end payment transactions.
• Translate payment requirements into agent workflows, APIs, and integrations.
• Lead technical reviews and mentor engineers throughout development and testing.
• Own the solution from requirements through to deployment and successful execution.

Skills

Python Development

AI Agent Development

Payment API Integration

Architectural Design

Technical Leadership

LLM/GenAI Applications

REST APIs

Microservices

Distributed Systems

Cloud Platforms

Event-Driven Architecture

Kafka

Agent Orchestration

LangGraph

LangChain

CrewAI

Tools

AWS

Azure

GCP

LangGraph

LangChain

CrewAI

Job description

• Design and build AI agents capable of initiating, processing, and completing end-to-end payment transactions
• Translate payment requirements into agent workflows, business rules, APIs, and system integrations
• Analyze market-specific payment requirements and design configurable, reusable solutions
• Define architecture for agent orchestration, transaction state management, tool/API invocation, exception handling, retries, and recovery
• Integrate agents with payment platforms, gateways, transaction processing systems, APIs, and enterprise services
• Define boundaries between AI-driven decisioning and deterministic payment/business logic
• Develop using Python, LLMs, and agent frameworks
• Implement security, authorization, auditability, observability, and guardrails around agent-driven payment actions
• Lead end-to-end testing and demonstrate successful transaction execution for each target market
• Provide hands-on technical leadership, conduct design and code reviews, and mentor engineers
• Own the technical solution from requirements and architecture through agent development, payment integration, testing, and successful transaction execution

Requirements

• 10+ years of software engineering experience, including architecture and technical leadership
• Strong hands-on Python development experience
• Proven experience designing and building LLM/GenAI applications and AI agents
• Strong understanding of payments and transaction processing
• Experience with payment APIs, gateways, transaction processing platforms, or payment services
• Strong understanding of payment lifecycle concepts such as transaction initiation, authorization, processing, transaction status, exceptions, and completion
• Strong experience with REST APIs, microservices, distributed systems, and cloud platforms
• Experience designing enterprise integrations and event-driven architectures
• Experience with AWS, Azure, or GCP
• Experience building AI agents and agent-based workflows
• Experience with agent orchestration, tool/function calling, structured outputs, and LLM integration
• Experience with frameworks such as LangGraph, LangChain, CrewAI, or equivalent
• Experience implementing AI guardrails, evaluation, observability, and human-in-the-loop controls
• Ability to determine where AI should be used versus deterministic rules within payment workflows
• Experience across multiple payment markets or regional payment ecosystems
• Knowledge of payment authorization, clearing, settlement, reconciliation, fraud/risk, disputes, or exception management
• Experience with Kafka or other event-streaming technologies
• Experience designing configurable architectures supporting market-specific payment variations

Core Competencies

Demonstrates extensive experience in designing and building AI agents for payment transactions, with strong proficiency in Python and a deep understanding of payment processing systems. Capable of leading technical solutions from architecture through development and integration, ensuring security and compliance across various payment markets.

Highest-signal resume keywords

• Python Development
• AI Agent Development
• Payment API Integration
• Architectural Design
• Technical Leadership

Hard Skills

• Software Engineering
• LLM/GenAI Applications
• REST APIs
• Microservices
• Distributed Systems
• Cloud Platforms
• Event-Driven Architecture
• Payment Lifecycle Concepts
• Agent Orchestration
• Kafka

Soft Skills

• Mentoring
• Technical Leadership
• Collaboration

Industry Keywords

• Payment Processing
• Transaction Management
• Fraud/Risk Management
• Exception Management
• Payment Authorization

Tools & Technologies

• AWS
• Azure
• GCP
• LangGraph
• LangChain
• CrewAI