Job Description
Team: IT
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
- 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
- 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
Requirements
The ideal candidate brings strong backend engineering expertise combined with hands-on experience in AI-enabled systems and a product-oriented mindset.
Benefits
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Date Posted
04/10/2026
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