Hiring: Python Backend+ AI/ML with Agentic-2 at NYC, NY

Realtech Services; New York (NY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Realtech Services in NYC invites a seasoned Python Backend Engineer to join a long-term contract role focused on AI/ML integration with agentic systems. You will design scalable backend services using Python, Django, PostgreSQL, and AWS, and collaborate with data scientists and product teams to deliver robust, high-performance solutions.

Ideal candidates have 7+ years in distributed systems, strong SOA/microservices experience, and a full-stack backend mindset spanning data pipelines, security,

Qualifications

• 7+ years of professional experience designing and managing complex system applications.
• Proficiency in Python with Django and GraphQL.
• Deep experience deploying and managing high-scale applications within AWS.
• Strong background in SOA, microservices, and event-driven pub-sub frameworks.
• Full-stack backend mindset across architecture, data pipelines/ETL, platform security, and scalability.

Responsibilities

• Learn and develop across the stack including frontend features with React and Apollo GraphQL, and robust back-end with Python, Django, and PostgreSQL in AWS.
• Collaborate with product teams and stakeholders to translate requirements into technical solutions.
• Focus on performance and scalability by analyzing and improving platform, algorithms, and data structures.
• Adopt best coding practices, testing methodologies, and efficient deployment strategies.
• Participate in code reviews to improve code quality and maintainability.

Skills

Python

Django

GraphQL

AWS

SOA

Microservices

Event-driven

ETL

PostgreSQL

React

Apollo GraphQL

Tools

PostgreSQL

React

Apollo GraphQL

AWS

Job description

Interview Process: 2 Rounds

1. Virtual Video Call.


2. F2F is mandatory at the mentioned location.

Position: Python Backend + AI/ML with Agentic-2

Location: NYC, NY (Day 1 Onsite) (Hybrid)

Duration: Long-Term Contract

Python Agentic JD:

• Seasoned Systems Architect: You bring 7+ years of professional experience designing and managing complex system applications.


• Python Power User: You are highly proficient in the Python ecosystem, specifically with Django and Graph QL.


• Cloud Native: You have deep experience deploying and managing high-scale applications within the AWS Cloud.


• Architectural Expertise: You possess a strong background in Service-Oriented Architecture (SOA), microservices, and event-driven pub-sub frameworks.


• Full-Stack Backend Mentality: You are comfortable across multiple domains, including application architecture, data pipelines/ETL, platform security, and building for massive scalability and resilience.


• Strategic Collaborator: You excel at working cross-functionally with designers, PMs, data scientists, and business stakeholders to turn high-level ideas into technical reality.


• NYC Metro-Based: You are located in the NYC area (or willing to relocate) and thrive in a collaborative, in-person environment that adheres to NY market hours.


• Best-Practices Champion: You are a proponent of Domain-Driven Design (DDD) and agile methodologies, with a passion for rapid prototyping and continuous improvement

What you'll do in the role:

• Learn and Develop across the Stack: You'll learn to build and maintain responsive, intuitive front-end features using React and Apollo GraphQL and grow your skills in robust, scalable back-end solutions with Python, Django, and PostgreSQL in an AWS infrastructure.


• Collaborate and Innovate: Work closely with product teams and business stakeholders to understand requirements. With the support of senior engineering leaders, you will write clean, functional, and well-organized code that delivers on new client-centric features.


• Focus on Performance and Scalability: Under the guidance of senior team members, you will help analyze and improve the performance and scalability of our platform, algorithms, and data structures.


• Learn and Apply Best Practices: You will be mentored on and adopt best coding practices, comprehensive testing methodologies (including unit and integration tests), and efficient deployment strategies.


• Improve Code Through Reviews: Actively participate in code reviews to help identify errors, learn from peers, and improve the overall quality of the codebase. You will learn to refactor code to enhance readability, efficiency, and reusability.