Acquisition.com Logo

Acquisition.com

Senior AI Engineer

Reposted 13 Days Ago
Remote
Hiring Remotely in USA
170K-200K Annually
Senior level
Remote
Hiring Remotely in USA
170K-200K Annually
Senior level
The Senior AI Engineer designs and deploys AI agents and workflows, collaborating across teams to deliver reliable AI solutions that drive business outcomes.
The summary above was generated by AI
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 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.

Similar Jobs

2 Days Ago
Remote or Hybrid
120K-215K Annually
Senior level
120K-215K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, and deploy agentic AI workflows and LLM-based automations for clinical and business use. Build scalable RAG solutions, vector DB integrations, and production-grade Python services. Implement AI orchestration frameworks, ensure MLOps/LLMOps, monitor observability, and collaborate with product, clinical, security, and engineering teams to deliver secure, compliant healthcare AI capabilities.
Top Skills: Api IntegrationsAutogenAWSAzureAzure Ai SearchChromaContainersCrewaiElasticsearchFaissGCPGenerative AiLangchainLanggraphLarge Language Models (Llms)LlamaindexLlmopsMicroservicesMlopsOpensearchPineconePrompt EngineeringPythonPyTorchRetrieval-Augmented Generation (Rag)Scikit-LearnSemantic KernelServerlessTensorFlowVector DatabasesWeaviate
2 Days Ago
Easy Apply
Remote
United States
Easy Apply
130K-140K Annually
Senior level
130K-140K Annually
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead end-to-end development of full-stack AI features on a Ruby on Rails backend and React frontend. Build and optimize AI infrastructure for production LLM inference, implement RAG and AI agents, design and run experiments and A/B tests, improve tooling and processes for scale, collaborate with designers and leaders, and iterate quickly while maintaining high code quality and user experience.
Top Skills: Ai AgentsLarge Language ModelsMySQLPostgresReactRetrieval-Augmented GenerationRuby On Rails
2 Days Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design, build, and operate large-scale LLM infrastructure and data platforms for training, fine-tuning, and inference. Provision GPU clusters, optimize GPU utilization, implement model lifecycle management, deploy inference frameworks, create evaluation and observability systems, and collaborate with data scientists to productionize AI capabilities. Mentor engineers and enforce MLOps/DataOps best practices.
Top Skills: AirflowAnsibleAWSCudaDaskDockerFlinkGCPGpuJaxKubernetesLangchainLlamaindexMegatronMlflowNvidia DriversOciPythonPyTorchRaySagemakerSlurmSparkTerraformTpuTriton Inference ServerVertex AiVllm

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account