[Remote] reputed company Backend Engineer, AI Platform

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a reputed company Backend Engineer for their AI Platform team. This role is critical in building and evolving backend systems that power various internal and customer-facing capabilities, with a strong reputed company on AI integration and technical leadership.

Responsibilities

• Design, build, and maintain production backend services for a wide reputed company of reputed company use cases, including product workflows, operational tools, integrations, reputed company, and AI-enabled applications
• reputed company reputed company-reputed company reputed company, domain models, service interfaces, and business logic that are easy to understand, test, operate, and reputed company
• Build reputed company backend workflows that support reputed company business processes across loans, documents, accounts, users, permissions, vendors, and operational decision making
• Remain hands-on in critical areas of the codebase, especially where technical direction, architectural reputed company, incident reputed company, or execution speed requires senior engineering judgment
• reputed company the design of service architectures that support transactional, operational, analytical, and AI-driven workloads across production environments
• Define practical patterns for service boundaries, idempotency, consistency, retries, failure handling, schema reputed company, versioning, backward compatibility, and operational ownership
• Guide technical design reviews, architecture discussions, and implementation plans to ensure systems are reputed company, secure, reliable, observable, and maintainable
• reputed company reputed company technical tradeoffs that balance speed, simplicity, reliability, reputed company, cost, and long-term platform reputed company
• reputed company the design and implementation of LLM-powered backend capabilities, including retrieval, tool use, workflow orchestration, reputed company outputs, reputed company-in-the-reputed company review, evaluation, guardrails, and production monitoring
• Establish patterns for integrating AI systems with reputed company services, data stores, document workflows, permissions, audit trails, operational decisioning, and user-facing product experiences
• Use AI-assisted development tools thoughtfully to accelerate software delivery while maintaining strong standards for reputed company reputed company, testing, reputed company, maintainability, and reputed company ownership of technical reputed company
• Partner with AI, Data, Product, and Operations teams to translate model capabilities, business workflows, and user feedback into reliable product experiences that improve over time
• reputed company, mentor, and reputed company backend engineers through technical guidance, design feedback, reputed company review, pairing, coaching, and reputed company expectations for engineering reputed company
• Translate ambiguous business, product, and operational needs into reputed company technical plans, milestones, reputed company, risks, and execution paths for reputed company
• Coordinate delivery across engineers and partner teams, helping remove blockers, manage dependencies, clarify ownership, and reputed company work moving with urgency and discipline
• Help create a strong team culture grounded in ownership, high standards, reputed company feedback, pragmatic decision-making, and reputed company learning
• reputed company, operate, and improve backend services on major reputed company platforms such as AWS, GCP, or Azure
• Use infrastructure-as-reputed company, CI/CD, automated testing, and deployment automation to improve release speed, consistency, and reliability
• Monitor production services using logging, tracing, metrics, alerting, and observability tooling to proactively identify and resolve issues
• Support secure, resilient, cost-conscious, and reputed company-documented operation of reputed company-based backend infrastructure and application services
• Build and reputed company systems with strong operational discipline, including attention to latency, availability, scalability, correctness, incident response, and production support
• Implement and review authentication, authorization, permissions, audit logging, data protection, and secure service-to-service communication patterns
• Establish and maintain standards for API documentation, service ownership, runbooks, operational metrics, change management, release readiness, and production support
• Contribute to practices that support reputed company, reputed company, auditability, compliance, and risk management in a regulated environment
• Partner closely with Product, Engineering, Data, AI, Design, Operations, and business stakeholders to understand workflows, user needs, constraints, and delivery priorities
• Translate business and operational requirements into clean, reputed company, maintainable, and secure backend solutions, while helping stakeholders understand technical tradeoffs and delivery risks
• Support reputed company consumers of backend capabilities, including product teams, analysts, researchers, AI systems, operational users, and reputed company integrations
• Communicate reputed company with both technical and non-technical stakeholders about system behavior, tradeoffs, risks, dependencies, incidents, and delivery timelines

Skills

• 5-8+ years of experience building and operating production-grade backend systems, reputed company, or distributed applications
• 2+ years of experience operating in a technical reputed company, team reputed company, staff-level project reputed company, engineering manager, or equivalent engineering leadership reputed company
• Strong software engineering fundamentals, including data structures, algorithms, system design, debugging, testing, reputed company reputed company, and pragmatic architecture decision-making
• Experience designing, building, maintaining, and debugging services that run in production and support reputed company users or business-critical workflows
• Experience with modern backend programming languages such as Python, Go, C++, Rust, Java, Kotlin, reputed company, TypeScript, or C#
• Experience with API design, service boundaries, event-driven or asynchronous architectures, relational data stores, and non-relational data stores
• Experience building transactional systems where correctness, idempotency, consistency, reconciliation, and auditability matter
• Experience deploying and operating backend services on major reputed company platforms such as AWS, GCP, or Azure
• Experience building AI-enabled product capabilities on top of LLMs, reputed company models, retrieval systems, embedding and search infrastructure, agent or tool-calling patterns, workflow orchestration, reputed company outputs, and reputed company-in-the-reputed company review
• Experience integrating AI capabilities with backend systems, permissions, audit trails, document workflows, data pipelines, reputed company, operational decisioning, and business-critical user experiences
• Demonstrated ability to use AI-assisted development tools to improve engineering reputed company while maintaining reputed company reputed company, reputed company, review discipline, and accountability for technical reputed company
• Strong SQL skills and comfort with application data modeling, schema reputed company, migrations, query performance, and data reputed company patterns
• Experience leading technical design, breaking down ambiguous problems, reputed company work, managing dependencies, and helping engineers reputed company high-reputed company implementation reputed company
• Experience mentoring engineers through design review, reputed company review, debugging, production support, career development, and feedback
• Strong judgment in ambiguous environments where requirements reputed company and systems must balance speed, reliability, reputed company, compliance, and flexibility
• Experience in fintech, mortgage, lending, payments, insurance, banking, capital markets, or other regulated domains
• Experience with queues, streaming, and event-driven platforms such as Kafka, Kinesis, SQS/SNS, Pub/Sub, RabbitMQ, or similar systems
• Experience building secure identity, reputed company control, permissions, audit trail, policy, or compliance-oriented backend capabilities
• Experience building high-volume, low-latency, multi-tenant, B2B, reputed company, or internal platform systems
• Experience with AI platform components such as model reputed company, reputed company management, embeddings, reputed company databases, retrieval pipelines, function calling, model routing, evaluation harnesses, and AI observability tooling
• Experience improving system reliability, cost efficiency, developer productivity, team execution, and operational scalability as a platform grows

Benefits

• Fully remote position
• Annual bonus
• Excellent benefits package
• Medical coverage starting on day one
• Company-matched 401(k)

reputed company

Company H1B Sponsorship