Senior Senior Backend Engineer - Python [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer – Python based in United States.

This role sits at the core of a rapidly evolving AI-powered platform transforming how legal professionals work through intelligent automation and unified data systems. You will design and build highly scalable backend systems that power agentic AI workflows, orchestration layers, and real-time legal intelligence capabilities. The position blends deep backend engineering with modern AI system design, requiring comfort working across distributed architectures, asynchronous Python services, and LLM-driven workflows. You will contribute to a platform where reliability, observability, and performance are critical, as the systems directly support high-stakes legal operations. Working closely with product, design, and domain experts, you will help translate complex legal workflows into robust, production-grade AI features. This is a high-impact engineering environment where experimentation, rigor, and engineering excellence are equally valued. You will also play a key role in mentoring engineers and shaping backend architecture standards across the organization.

Accountabilities

You will design, build, and evolve scalable backend systems that power AI-driven legal workflows and ensure reliability across distributed services.

• Contribute to the design and evolution of AI orchestration systems, building durable and fault-tolerant agentic workflows using tools such as Temporal and LLM-driven reasoning patterns.
• Develop and deliver backend features across their full lifecycle, including design, implementation, testing, deployment, and post-production monitoring.
• Build and maintain high-performance Python-based services using modern frameworks such as FastAPI and async/await patterns.
• Implement robust testing strategies, including unit, integration, and end-to-end tests to ensure system reliability.
• Maintain strong observability practices using logging, monitoring, and performance tracking tools.
• Collaborate with cross-functional teams including product managers, designers, engineers, and domain experts to translate legal workflows into technical solutions.
• Participate in architecture discussions, sprint planning, and engineering standards definition for AI systems.
• Mentor junior and mid-level engineers, supporting growth in backend engineering and AI system design practices.

Requirements

This role requires deep backend engineering expertise, strong Python proficiency, and experience building distributed and scalable systems.

• 6+ years of professional backend engineering experience with strong expertise in Python (3.12+).
• Strong knowledge of asynchronous programming, FastAPI, and Pydantic v2.
• Proven experience designing and operating distributed systems, including event-driven architectures, message queues, or workflow orchestration tools such as Temporal.
• Experience building production-grade, highly reliable backend services with strong observability and testing practices.
• Strong understanding of system design, scalability, and reliability trade-offs in complex environments.
• Excellent communication skills with the ability to explain technical decisions to both technical and non-technical stakeholders.
• Experience working in fast-paced environments with end-to-end ownership of features.
• Strong collaboration mindset and interest in mentoring and supporting other engineers.
• Bachelor’s degree in Computer Science or equivalent practical experience preferred.
• Experience with AI systems, LLM integration, or agent-based architectures is a strong plus.

Benefits

• Competitive salary range: $165,000 – $215,000 annually
• Comprehensive medical, dental, and vision insurance (full-time employees)
• Paid time off policy and parental leave benefits
• Short-term and long-term disability coverage
• Opportunity to work on cutting-edge AI-powered backend systems
• Collaborative, fast-growing engineering environment focused on innovation
• Strong learning culture with mentorship and technical growth opportunities
• High-impact role influencing core platform architecture and AI systems
• Access to leadership support and company-wide engineering standards initiatives
• Additional perks and benefits package provided as part of total compensation

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!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.