Senior Python Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Python Engineer in United States.

This role offers the opportunity to build and scale the backend systems that power advanced AI-driven product experiences. You will sit at the intersection of backend engineering, machine learning, and product development, translating cutting-edge AI capabilities into reliable, production-grade systems. The position focuses on designing APIs, services, and data infrastructure that connect LLMs and ML models to real-world applications. You will collaborate closely with ML engineers, data scientists, and product teams to deliver seamless end-to-end features. In this environment, engineering excellence, scalability, and performance are critical to success. This is a high-impact role where your work directly influences product quality, user experience, and system reliability.

Accountabilities

You will be responsible for designing, building, and maintaining backend systems that enable AI-powered features at scale, ensuring performance, reliability, and extensibility across services.

Design and develop APIs and backend services supporting AI-driven product functionality
Integrate LLMs and machine learning models into production-grade systems and workflows
Build and maintain scalable data pipelines for training, inference, evaluation, and analytics
Collaborate with ML engineers, data scientists, and product teams to deliver end-to-end solutions
Improve system performance, scalability, observability, and reliability across distributed services
Debug complex production issues and lead root cause analysis and resolution efforts
Contribute to engineering standards, architecture decisions, and code quality improvements
Participate in experimentation and feedback loops to continuously improve model and product performance

Requirements

The ideal candidate brings strong backend engineering expertise combined with hands-on experience in AI-enabled systems and a product-oriented mindset.

5+ years of software engineering experience with a strong backend focus
Strong proficiency in Python and experience building production-grade systems
Experience designing APIs and service-oriented or distributed architectures
Hands-on experience with ML/AI systems in production (LLMs, ranking, recommendations, or similar)
Familiarity with SQL/NoSQL databases and data-intensive system design
Experience with cloud platforms such as AWS, GCP, or Azure
Exposure to containerization and orchestration tools such as Docker and Kubernetes
Strong ability to operate in ambiguous environments and take ownership of complex problems
Product mindset focused on delivering measurable user and business impact
Excellent communication and collaboration skills across engineering, ML, and product teams

Benefits

Competitive base salary ranging from 200,000 to 225,000 USD, based on experience and location
Equity through stock options
Comprehensive medical, dental, and vision insurance
401(k) retirement plan
Flexible PTO and company holidays
Fully remote work within the United States
Periodic offsites and team gatherings to foster collaboration
Transparent and competitive compensation philosophy

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Requirements

Benefits

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