Makai Labs Logo

Makai Labs

AI Engineer

Reposted 2 Months Ago
In-Office or Remote
5 Locations
115K-130K Annually
Junior
In-Office or Remote
5 Locations
115K-130K Annually
Junior
The AI Engineer will build AI-powered applications, prototype solutions, implement workflows using LLMs, and manage sub-projects while improving internal tools.
The summary above was generated by AI

AI Engineer

Who we are

Makai Labs builds software that automates entire companies. We work across a diversified portfolio, which means our systems touch a wide range of domains, processes, and operational constraints. Our engineering team is small, senior, and high-output. We move fast, hold high standards, and trust each other to take ownership without being managed.

What we're looking for

Makai Labs is hiring a AI Engineer to help build AI systems for enterprise automation. This is a hands-on builder role where you’ll work closely with our engineering and design teams to prototype, ship, and improve AI-powered products and internal tools. You’ll have the opportunity to own smaller projects end to end while contributing to larger client and platform initiatives.

Responsibilities will include

  • Build and improve AI-powered applications and internal tools

  • Rapidly prototype, experiment, and iterate across client and internal projects

  • Implement workflows that use LLMs, retrieval systems, agents, and structured outputs

  • Contribute to shared platform work and reusable tooling

  • Turn prototypes into reliable, client-ready systems

  • Conduct research, benchmarking, testing, and evaluation of new approaches

  • Own smaller projects or sub-projects with guidance from the team

  • Take ownership of deliverables and help deliver work that meets client needs

  • Write and maintain clear internal documentation

Ideal Experience

  • Senior in college, recent graduate, or early-career engineer

  • Background in computer science (bonus if you also have business exposure)

  • Experience building AI applications through internships, coursework, research, or personal projects

  • Experience running AI experiments and iterating quickly

  • Strong Python skills

What we value

  • Initiative and willingness to learn quickly on the job

  • Bias toward action and comfort with fast iteration

  • Interest in staying current with AI advancements and applying them in practical systems

  • Wants to solve hard problems

Nice To Haves

  • Experience with APIs, backend services, or workflow automation

  • Familiarity with FastAPI, Flask, or similar backend frameworks

  • Familiarity with React and TypeScript

  • Familiarity with Docker and local development environments

  • Familiarity with testing in Python or TypeScript

  • Experience working with retrieval systems, embeddings, or search

  • Experience working with OCR, document processing, or PDF workflows

  • Experience with fine-tuning, benchmarking, or serving LLMs

  • Experience in fast-paced, high-accountability team settings

Core values for Makai employees

  • Have a strong work ethic

  • Be self-sufficient and self-driven with an ownership mentality, no matter your role

  • Be a flexible thinker

  • Be congenial and a team player

  • Always be of service to each other and our clients, partners, and neighbors

Benefits

  • Fully remote role, Eastern time zone

  • Opportunities to work in-person with local colleagues

  • Generous PTO

  • Full health insurance premium reimbursement

  • 401(k) matching

  • Career growth & development opportunities

Similar Jobs

2 Days Ago
Remote
United States
150K-190K Annually
Expert/Leader
150K-190K Annually
Expert/Leader
Software
Designs and deploys AI-powered features and scalable AI/ML services across SaaS products. Responsibilities include translating business problems into AI solutions, integrating large language models, preparing data, evaluating model performance, writing Python, building secure deployment infrastructure, and collaborating with product, data, and cloud operations teams. The role requires production AI/ML experience, scalable data infrastructure expertise, AWS familiarity, and modern DevOps practices.
Top Skills: Ai/Ml Evaluation ToolingAWSDevOpsLarge Language Models (Llms)Llm FrameworksPythonSaaS
2 Days Ago
Remote or Hybrid
US
107K-150K Annually
Senior level
107K-150K Annually
Senior level
Information Technology
Leads the design, integration, and delivery of production-grade AI, generative AI, agentic AI, and MLOps solutions for clients. Serves as technical lead, translates requirements into scalable architectures, mentors engineers, manages technical risks and timelines, supports sales proposals, and presents recommendations to stakeholders. Responsibilities include application integration, security, observability, evaluation, model serving, documentation, testing, and operational readiness.
Top Skills: Agentic AiAi GatewaysAPIsAutomated TestingCi/CdContainersEvaluation FrameworksGitGpu InfrastructureHugging FaceKubernetesMlopsModel Lifecycle PlatformsModel-Serving PlatformsNvidia BlueprintsNvidia NimObservability FrameworksPythonPyTorchRetrieval-Augmented GenerationVector DatabasesVector Search
2 Days Ago
Remote or Hybrid
US
78K-108K Annually
Mid level
78K-108K Annually
Mid level
Information Technology
Designs, implements, validates, benchmarks, troubleshoots, and supports accelerated compute and high-performance storage infrastructure for enterprise AI workloads. Conducts discovery, migrations, installations, configuration, testing, documentation, and client knowledge transfer. Collaborates with project managers, architects, sales teams, partners, and stakeholders to manage scope, timelines, risks, and deliverables. The role requires client-facing consulting, technical documentation, infrastructure troubleshooting, occasional overtime, and travel to client sites or company locations.
Top Skills: Ai Platform OrchestrationContainer RuntimesGpudirect StorageGpusKubernetesLinuxNfsNvidia Ai EnterpriseNvidia DgxNvidia HgxNvmeObject StorageParallel File SystemsRdmaSlurmSmb

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account