Sr. Software Engineer - Core Automation Platform (AI)

TL;DR

Sr. Software Engineer - Core Automation Platform (AI): Building reusable Generative AI platforms, full-stack AI applications, and intelligent automation for hirify.global's high-throughput payment infrastructure with an accent on RAG, LLM orchestration, observability, and secure cloud architecture. Focus on designing agentic workflows, scaling distributed event-driven systems, and integrating AI operations into production environments.

Location: Ashburn, Virginia, United States; hybrid work with at least three days in the office. The position is performed in an office setting and requires 5–10% travel.

Salary: $110,700–$171,800 USD per year, with potential bonus and equity eligibility.

Company

hirify.global operates a global payments technology network serving consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.

What you will do

• Design and build reusable Generative AI platforms, SDKs, pipelines, shared frameworks, and developer tools.
• Develop agentic AI solutions using LangGraph, LangChain, Haystack, AWS Bedrock, SageMaker, vector databases, and RAG architectures.
• Build production-ready full-stack AI applications with Python, FastAPI, Flask, Node, React, TypeScript, and REST or GraphQL APIs.
• Design secure microservices, event-driven architectures, messaging integrations, and enterprise APIs for highly distributed systems.
• Implement CI/CD, containerization, infrastructure-as-code, automated testing, monitoring, logging, observability, and recovery strategies.
• Collaborate with engineering and cybersecurity teams to deliver reliable, secure AI solutions at global scale.

Requirements

• At least 2 years of relevant experience with a bachelor's degree, or at least 5 years of relevant experience.
• Experience developing Generative AI platforms and applications with Python; FastAPI is strongly preferred.
• Experience with React and TypeScript for frontend development.
• Knowledge of AWS, including services such as Bedrock, SageMaker, Lambda, ECS/EKS, S3, and API Gateway.
• Experience with event-driven systems and messaging technologies such as Kafka, Kinesis, MQ, or SQS.
• Experience with distributed systems, microservices, API design, vector databases, RAG, CI/CD, and infrastructure automation.

Culture & Benefits

• Work on large-scale payment systems and AI-driven operational capabilities.
• Collaborative Agile environment with globally distributed engineering teams.
• Culture of continuous learning, innovation, proactive problem solving, and blameless postmortems.
• Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness programs.
• Work hours vary according to department needs.