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Full-time

AI Backend Engineer, Artificial Intelligence (AI) Required, Work From Home

$140K/yr – $200K/yr

USAIT & TechnologyPosted 30+ Days Ago

You'll complete your application on the employer's website.

Role overview

Job type

Full-time

Salary

$140K/yr – $200K/yr

Location

USA

Posted

30+ Days Ago

Job description

AI Backend Engineer, Artificial Intelligence (AI) Required, Work From Home jobs in United States

Tags

75+ applicants

Original Job Post

Parallel Partners

$140K/yr - $200K/yr

73

GOOD MATCH

Experience Level

61

Skill

83

Industry Exp.

80

Responsibilities

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

Design and implement AI orchestration layers that connect 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 (caching, batching, streaming, routing)

Design stable service boundaries between backend systems, ML components, and product APIs

Implement observability: logging, metrics, tracing, alerting, and incident response workflows

Debug production issues across distributed AI systems and resolve root causes

Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features

Continuously improve system reliability, scalability, and performance

Benefits

Medical insurance

Dental insurance

Vision insurance

Savings Plan Options

PTO

Fully remote position

100% Remote

IT recruiting and staffing for financial services and trading.

Naperville, Illinois, USA

https://parallelpartners.com

Leadership Team

Saven Bellarmino

President

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Qualifications

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

Tech Stack: Anthropic, Claude, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL

Required skills

AI Orchestration, Anthropic Claude, Artificial Intelligence, Backend Engineering, Distributed Systems, Docker, Kubernetes, LLM APIs, NoSQL, Node.js, OpenAI, Python, SQL

Experience

Mid level

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