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

22 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
173K-255K Annually
Senior level
173K-255K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Build and operate Affirm’s AI platform, including LLM and MCP gateways, agent runtimes, evaluation services, and governance controls. Design highly available backend systems, manage identity, quotas, routing, caching, reliability, observability, and security for AI workloads. Own projects from design through launch and on-call, establish engineering standards, collaborate across teams, mentor engineers, and help scale AI systems into production.
Top Skills: AWSAws BedrockChatgptClaudeKotlinKubernetesLitellmMcpMySQLPython
3 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
3 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

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account