Haystack
← Back to Jobs
Technology
MR

Senior AI Engineer

Motion Recruitment Partners, LLCPleasanton, CA🇺🇸United StatesPosted Aug 4, 2026

Why This Role Stands Out

Advance your career as a Senior AI Engineer on a leading fintech platform, where you'll architect and deploy cutting-edge AI solutions with significant impact, enjoying a competitive salary of $210,000-$263,000 and hybrid flexibility. This role is perfect for experienced engineers passionate about LLMs and data pipelines who thrive in innovative, collaborative environments. Apply now to shape the future of AI in finance!

Quick Overview

Salary
$210k - $263k/yr
Seniority
Mid Senior
Work mode
Hybrid
Location
Pleasanton, CA, United States
Posted
2 months ago
ETLLLM

Job Description

Job Description
A leading fintech AI platform is seeking a Staff AI Engineer to spearhead the development, implementation, and productionization of advanced AI solutions. This role reports directly to senior engineering leadership and partners closely with product and engineering teams to deliver scalable AI-driven features and maintain a position at the technological forefront.
Responsibilities:
  • Leverage best-in-class market AI models to build and deploy solutions from concept to production for a diverse client base.
  • Integrate advanced AI models and systems into existing products and workflows.
  • Architect scalable AI systems, including model orchestration, caching strategies, and fallback procedures.
  • Stay current with emerging AI technologies to ensure the platform remains innovative.
  • Collaborate cross-functionally to ensure robust and efficient implementation of AI systems.
Required Skills & Experience:
  • 4+ years as a Full Stack Software Engineer or similar, delivering, shipping, and testing enterprise-grade software.
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Hands-on experience with production-level LLM APIs (such as OpenAI, Anthropic, Google), with strengths in rate-limiting, cost-effectiveness, and real-time performance monitoring.
  • Strong background in using data pipelines and ETL/ELT processes for AI workflows.
  • Demonstrated use of frameworks like RAG in production applications, enhancing proprietary data models.
  • Practical experience in AI system testing, such as model evaluation, A/B testing, and post-deployment performance monitoring.
Desired Skills & Experience:
  • Exposure to network appliances (firewalls, routers, load balancers) is a plus.
  • Familiarity working in fast-paced, high-growth environments.
The Offer
  • Salary: $210,000-$263,000
  • Hybrid work environment (in-office at least 3 days per week for commutable candidates)
  • Bonus and incentive programs
  • Comprehensive benefits and wellness initiatives

Similar jobs

Browse related jobs

Apply now