AI Backend Engineer, Artificial Intelligence

Parallel Partners

. Build and operate backend systems that serve AI-powered insurance workflows in production .

Posted 9/22/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $140,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating backend systems for AI-powered workflows, with a strong focus on optimizing performance, reliability, and observability. Proficient in integrating AI capabilities into production environments and collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Backend Engineering ExperienceArtificial Intelligence ExperienceDistributed Systems DebuggingObservability Tools ProficiencyHigh-Throughput, Low-Latency Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend EngineeringAI SystemsAPIsSystem Design PrinciplesProduction DebuggingObservabilityPerformance OptimizationInference PipelinesAI OrchestrationIncident Response

Soft Skills

Ownership MindsetCollaborationAdaptability

Tools & Technologies

DockerKubernetesNode.jsPythonSQLNoSQLOpenAIClaudeLLM APIsAnthropic

Industry Keywords

AI WorkflowsDistributed SystemsObservability ToolsProduction SystemsAI-Powered Insurance

Tech Stack

Tools & technologies

Distributed SystemsDockerJavaScriptKubernetesNode.jsNoSQLPythonSQL

About the role

Key responsibilities & impact

Build and operate backend systems that serve AI-powered insurance workflows in production
Design and implement AI orchestration layers connecting models, APIs, workflows, and business logic
Build inference pipelines for LLM-based and AI-assisted automation systems
Optimize latency, throughput, and cost across AI services through caching, batching, streaming, and routing
Design stable service boundaries between backend systems, ML components, and product APIs
Implement observability through logging, metrics, tracing, alerting, and incident response workflows
Debug production issues across distributed AI systems and resolve root causes
Collaborate with frontend, product, operations, and ML teams to ship end-to-end features
Continuously improve system reliability, scalability, and performance
Deliver reliable, low-latency, highly available AI backend systems at scale
Ensure AI workflows are stable, observable, and production-ready across multiple products
Improve system performance through real-world feedback and optimization
Detect, diagnose, and resolve production incidents quickly
Integrate AI capabilities into global customer and internal workflows

Requirements

What you’ll need

Strong backend engineering experience in production systems
Artificial Intelligence (AI) experience required
Experience building or operating high-throughput, low-latency services
Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows)
Experience with distributed systems and production debugging
Strong understanding of APIs, data flows, and system design principles
Experience with observability tools (logging, monitoring, tracing)
Strong ownership mindset and bias toward shipping
Comfortable working in fast-paced, globally distributed teams
Must be willing to take a 60-minute coding assessment
Experience with Anthropic, Claude, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, OpenAI, open-source models, Python, SQL, and observability tools

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Savings Plan Options
PTO