Senior AI Engineer
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Senior AI Engineer
170,000–200,000 / Year
Location
Remote, USA
Experience
Senior
Posted
Jul 30, 2026
Apply by
August 29, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
# Role
The Senior AI Engineer builds and deploys production-grade AI agents that power ACQ Vantage. This role exists to turn AI capability into real, usable systems that drive business outcomes, not experiments or prototypes.
You will work inside a lean Technology team to design, build, and ship agentic workflows that interact with internal tools, data systems, and user-facing products. You are responsible for taking ideas from concept to production, with a focus on reliability, speed, and practical value.
This is a hands-on engineering role. You are writing code daily, iterating quickly, and working directly with modern AI tooling. You are expected to understand how LLMs behave in production, not just how they work in theory.
# Responsibilities
- Design, build, and deploy production-grade AI agents and end-to-end agentic workflows that solve real business problems across ACQ Vantage
- Integrate LLMs with internal systems, APIs, and data sources, ensuring reliability, performance, and clean abstractions
- Collaborate with product and engineering teams to prioritize, ship, and iterate on AI features quickly
- Own and improve RAG pipelines across multiple Pinecone namespaces, including chunking strategy, embedding model selection, hybrid retrieval, and reranking
- Build and maintain an evaluation framework, including golden datasets, automated quality scoring, retrieval metrics, latency benchmarks, and regression detection
- Optimize model routing and tiering to improve unit economics while maintaining output quality
- Instrument the AI layer for observability, including cost-per-request, token usage, quality signals, and anomaly detection
# Requirements
- 7+ years shipping production software systems (distributed backends, APIs, deployment pipelines, monitoring)
- 2+ years building production RAG systems using vector databases (Pinecone, Qdrant, FAISS, or Weaviate), including embedding strategies, index management, and retrieval tuning
- Built and deployed AI agents or multi-step LLM workflows in production, including tool use, orchestration, and system integrations
- Built or contributed to an evaluation framework for an LLM-based product (retrieval quality measurement, regression detection, model-switching decisions based on data)
- Reduced LLM API costs in production through model routing, caching, token management, or architectural improvements
- Worked across multiple LLM providers (OpenAI, Anthropic, or equivalent) and understands tradeoffs in prompt behavior, token economics, and failure modes
- Comfortable in both TypeScript and Python (our stack uses both)
# Results
- Production AI agents are deployed and actively used within ACQ Vantage
- New AI-driven features move from concept to production in weeks, not months
- Agent performance improves over time through structured testing and iteration
- AI systems operate reliably with minimal failure or manual intervention
- Engineering output translates directly into measurable business impact
# Schedule
- Work hours aligned with local timezone or Pacific timezone (8a-5p M-F)
- Availability to support critical launches or events when needed
# Location
- Full-time, remote (US-based)
- Quarterly on-sites in Las Vegas
# Compensation:
- $170,000 - $200,000 base salary
- The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below).
# Benefits:
We offer a comprehensive, evolving benefits package designed to support your health, family, and wellbeing. Some key offerings:
- Flexible Unlimited Paid Time Off and Company-wide Holidays
- Employer sponsored Medical, Dental, & Vision plans
- $1,950 annual Employer HSA contribution
- FSA options including dependent care
- Employee assistance program and mental health resources
- Employer match program for 401(k), eligible for both Traditional and Roth accounts
- $1,200 annual wellness reimbursement through [JOON](https://joon.io/) that supports health, family care, pet care, fitness, and more!
- For local or visiting team members, enjoy access to a state of the art gym at our HQ in Las Vegas
\ Benefits eligibility applies only to full-time exempt roles.
# ACQ Core Values:
Our core values are the heart and soul of this incredible company. The right person for this role will appreciate each of these values, personally subscribe to them, and understand why each is critical to having a great business.
## Competitive Greatness
Be at your best when your best is needed. Enjoyment of a hard challenge. Those who have the drive to constantly improve, the superior intellect and long term commitment to see incremental improvements become compounding returns.
## Sincere Candor
Have the self awareness to accurately perceive and communicate hard truths that improve others and self, the courage to do so, and the humility to accept them, even when it hurts. Nothing great can be built without feedback: internally or externally.
## Unimpeachable Character
Be the type of person with whom people are always proud to associate, personally and professionally. We look for true alignment of thoughts, words, and actions towards a goal worth pursuing.
Key Responsibilities
- Design, build, and deploy production-grade AI agents and end-to-end agentic workflows.
- Integrate LLMs with internal systems, APIs, and data sources to ensure reliability and performance.
- Collaborate with product and engineering teams to prioritize and ship AI features.
- Own and improve RAG pipelines, including chunking strategy, embedding model selection, and reranking.
- Build and maintain an evaluation framework for LLM-based products, including golden datasets and automated quality scoring.
- Optimize model routing and tiering to improve unit economics while maintaining output quality.
- Instrument the AI layer for observability, including cost-per-request and anomaly detection.
Skills Required
TypeScriptPythonLLMsRAGVector DatabasesPineconeQdrantFAISSWeaviateAPIsDistributed BackendsDeployment PipelinesMonitoringModel RoutingCachingToken ManagementObservabilityGolden DatasetsRegression DetectionCollaborationProblem SolvingAttention to Detail
Benefits
- Flexible Unlimited Paid Time Off
- Company-wide Holidays
- Employer sponsored Medical, Dental, & Vision plans
- $1,950 annual Employer HSA contribution
- FSA options including dependent care
- Employee assistance program
- Mental health resources
- Employer match program for 401(k)
- $1,200 annual wellness reimbursement
- Access to state of the art gym at HQ
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