AI Backend Engineer, Artificial Intelligence

Job not on LinkedIn

🕒 September 22

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $140k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Parallel Partners

WebsiteLinkedInAll Job Openings

1 - 10 employees

💳 Fintech

🤝 B2B

Fintech • B2B

Parallel Partners is a staffing firm specializing in the recruitment of information technology personnel for direct hire positions within the financial services and trading industries. Established in 1995 and headquartered in Chicago, they cater to clients such as international hedge funds, proprietary trading firms, investment banks, online brokerages, and trading software product vendors. Acquired by Next Step Systems in 2014, Parallel Partners focuses on placing high-frequency trading systems and algorithmic trading specialists, as well as providing expertise in financial engineering and risk management.

📋 Description

• 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

• 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

• Medical insurance • Dental insurance • Vision insurance • Savings Plan Options • PTO