Senior Python Engineer — Agentic AI Backend for SaaS

Motion Recruitment Partners LLC

Los Angeles (CA)

Hybrid

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, and Vision Insurance
Vacation Time
Stock Options
Bonus eligible

Job summary

Motion Recruitment Partners LLC in Woodland Hills, California, is seeking a backend engineer for a full-time, hybrid role focused on Python, APIs, and scalable backend systems within an AI-first/enterprise SaaS context.

You will design and implement high-performance services, work across cloud platforms, and contribute to distributed architectures while maintaining code quality and mentorship within a collaborative team.

Qualifications

  • 5+ years software engineering experience (or 3+ with a Master’s)
  • Strong proficiency in Python, Java, C#, or .NET
  • Experience building web applications and SaaS platforms
  • Hands-on with RESTful APIs and distributed systems
  • Advanced SQL knowledge including data modeling, transactions, and querying
  • Solid understanding of data structures, algorithms, and design patterns
  • Experience with Agile/Scrum development
  • Exposure to AI-first or agentic AI development approaches
  • Strong focus on code quality, testing, and maintainability

Responsibilities

  • Hands-on development of backend services and APIs
  • Contribute to architecture decisions for scalable distributed systems
  • Collaborate with cross-functional teams and mentor junior engineers

Skills

5+ years software engineering
Python
RESTful APIs
Distributed systems
SQL
Algorithms & data structures
Agile/Scrum
AI-first / agentic AI
Code quality & testing

Tools

Docker
Kubernetes
AWS
Azure
GCP
PostgreSQL
NoSQL
Kafka/RabbitMQ/SQS
API Gateway

Job description

Motion Recruitment Partners LLC in Woodland Hills, California, is seeking a backend engineer for a full-time, hybrid role focused on Python, APIs, and scalable backend systems within an AI-first/enterprise SaaS context.

You will design and implement high-performance services, work across cloud platforms, and contribute to distributed architectures while maintaining code quality and mentorship within a collaborative team.

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