Staff Software Engineer, AI

Blackline

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Salary: $193,000–$193,000 / yr
Posted: 8 days ago
Closes: Jun 8, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k

This role $193k

$149k most similar roles pay here $255k

This role pays less than 61% of similar roles. Most pay $165,000–$235,750 — the shaded band above. At the midpoint, this role pays about $193k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Blackline

BlackLine is a cloud-based financial operations management platform that automates and controls the financial close process for enterprises, including account reconciliation, journal entries, and financial reporting. Industry: Financial Technology & Accounting Software

Blackline currently has 15 open roles on FindRole.

Listed pay typically runs $193,000–$193,000 across 15 roles with salary data.

Most-posted roles

View all roles at Blackline

At a glance

TL;DR · Staff Software Engineer, AI

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As a Staff Software Engineer in AI at this fintech company, you will report to the VP of Engineering and collaborate closely with engineering and product teams to enhance AI capabilities. Your daily responsibilities include leveraging top-tier models to deliver production-ready solutions for clients, integrating AI into existing processes, designing scalable AI system architecture, and evaluating new technologies to maintain a competitive edge. You should have at least four years of experience in developing, shipping, and testing software within an enterprise environment, with a focus on working with LLM APIs, RAG frameworks, and data pipelines. Proficiency in AI system testing methodologies, model evaluation, and performance monitoring is essential, along with knowledge of production-scale infrastructure components like firewalls and load balancers.

Skills

Python LLM APIs (OpenAI, Anthropic, Google) RAG framework CI/CD ETL/ELT Kubernetes Docker PostgreSQL AWS GCP Prometheus Grafana

What you'll do

Utilize market-leading AI models to develop and deploy client solutions from concept to production.
Integrate AI solutions into existing production processes for seamless functionality.
Design scalable AI system architecture, including model orchestration and caching strategies.
Evaluate and implement new AI technologies to maintain cutting-edge capabilities.
Apply frameworks like RAG in production applications to enhance foundational models.

What we're looking for

4+ years of experience as a Full Stack Software Engineer in an enterprise environment.
Bachelor’s degree in Computer Science, Engineering or related field.
Experience working with production LLM APIs and optimizing their performance.
Utilization of frameworks like RAG to enhance foundational models for proprietary use.
Expertise in AI system testing methodologies including model evaluation and A/B testing.
Knowledge of data pipelines and ETL/ELT processes for AI workflows.

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