Senior Python AI Architect — NYC Metro

Hallmark Global Solutions Ltd; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Hallmark Global Solutions Ltd in NYC seeks a seasoned software engineer to design and deploy large-scale AI-enabled backend systems. You will integrate Python, REST, microservices, and data pipelines within an AWS environment, collaborating with cross-functional teams.

The role emphasizes hands-on development across the stack, performance optimization, code reviews, and adherence to best practices such as DDD and agile methods. Location is NYC metro with in-person collaboration.

Qualifications

• 7+ years of experience designing and managing complex system applications.
• Proficiency in Python, Django, and AWS.

Responsibilities

• Learn and Develop across the Stack: Front-end with React and Apollo GraphQL; back-end with Python, Django, and PostgreSQL in AWS.
• Collaborate with product teams and stakeholders to implement client-centric features.
• Focus on performance and scalability of the platform, algorithms, and data structures.
• Learn and apply best practices including testing and deployment strategies.
• Improve code quality through reviews and refactoring.

Skills

Python

REST APIs

Microservices

Event-driven

Agent integration

Google ADK

Agent SDK

LLM integration

Prompt engineering

RAG

Vector databases

Embeddings

AI observability

Governance

Guardrails

System architecture

SOA

Microservices

AWS

Django

GraphQL

React

PostgreSQL

Tools

Django

GraphQL

Apollo GraphQL

AWS

PostgreSQL

Job description

Hallmark Global Solutions Ltd in NYC seeks a seasoned software engineer to design and deploy large-scale AI-enabled backend systems. You will integrate Python, REST, microservices, and data pipelines within an AWS environment, collaborating with cross-functional teams.

The role emphasizes hands-on development across the stack, performance optimization, code reviews, and adherence to best practices such as DDD and agile methods. Location is NYC metro with in-person collaboration.