Magical Logo

Magical

AI Forward Deployed Engineer

Reposted 8 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
As an AI Forward Deployed Engineer, you'll design AI workflows, act as a customer technical bridge, and optimize deployment performance. You'll thrive in a fast-paced, early-stage environment, shaping tools and documentation while ensuring system reliability.
The summary above was generated by AI

Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.

The shift to agentic work is inevitable, and we’re leading it.. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.

We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, Altman Capital and Lightspeed. The runway is long. The ambition is high. And the market is wide open.

About the role

  • Design and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges.

  • Act as a technical bridge between customers and Magical’s product and engineering teams, capturing real-world feedback and translating it into platform improvements.

  • Diagnose and resolve issues across deployments, integrations, and performance optimizations, ensuring reliability in high-stakes environments like healthcare.

  • Shape the internal playbook by building tools, documentation, and reference implementations that accelerate future customer rollouts and scale Magical’s multi-agent ecosystem.

About you

  • You have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical background

  • You’re deeply curious about AI prompting, multi-agent systems, and automation. Prior experience here is a plus, but a fast learner with strong fundamentals will thrive.

  • Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tell

  • Have a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.

  • You thrive in early-stage chaos: you’re excited to define the playbook rather than follow one.

  • Studied science or engineering in college (dropout welcome)

  • Located in SF/Toronto or willing to relocate

What we offer

  • A chance to be an early team member at a fast-growing, ambitious company

  • The opportunity to push the boundaries of what’s possible with AI

  • A modern stack and the latest tools to do your best work

  • Competitive salary and meaningful equity

  • Unlimited PTO

  • Fun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa Rica

Similar Jobs

2 Days Ago
In-Office or Remote
182K-250K Annually
Senior level
182K-250K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Develop and productionize GenAI applications for customers, including RAG, multi-agent, Text2SQL, and fine-tuned systems. Lead production rollouts, evaluations, and optimizations; advise customers as a trusted technical expert; present at conferences; and collaborate with product and engineering teams to influence roadmaps. The role requires hands-on data science and machine learning deployment experience, customer communication skills, eligibility for a U.S. Secret clearance, and travel to customers every 4–8 weeks.
Top Skills: SparkAWSAzureDatabricks Intelligence PlatformDspyFine-TuningGCPGenaiHuggingfaceLangchainLlmopsMulti-Agent SystemsPandasPyTorchRagScikit-LearnText2Sql
2 Days Ago
Remote
Virginia, USA
182K-250K Annually
Senior level
182K-250K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Develop and productionize GenAI applications for federal-sector customers, including RAG, multi-agent systems, Text2SQL, and fine-tuning solutions. Advise customers, lead production rollouts, present technical concepts, collaborate with product and engineering teams, and influence the AI product roadmap. The role requires production machine learning deployment experience, strong data science expertise, customer-facing communication, U.S. citizenship, Secret clearance eligibility, and periodic customer travel.
Top Skills: SparkAWSAzureDatabricks Intelligence PlatformDspyFine-TuningGCPGenaiHuggingfaceLangchainMulti-Agent SystemsPandasPyTorchRagScikit-LearnText2Sql
3 Days Ago
Remote
United States of America
Entry level
Entry level
Information Technology • Software • Consulting
Build and deploy AI-powered applications for customers, combining Python and TypeScript application engineering with LLMs, generative AI, agent orchestration, APIs, distributed systems, and cloud platforms. Partner with stakeholders to understand requirements, design scalable architectures, rapidly prototype solutions, integrate AI capabilities, and evolve proofs of concept into production systems. The role also involves customer-facing consulting, technical decision-making, and collaboration throughout the solution lifecycle.
Top Skills: Agent OrchestrationAi ObservabilityAi/MlAPIsAWSAzureDistributed SystemsGCPGenerative AiLarge Language Models (Llms)MlopsModel DeploymentPythonRagTypescriptVector Databases

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account