Applied AI Engineer
| 1. | AI Builder Intern - Agentic AI (Mondee) Austin, Texas, United States | on-site | internship | internship | ai, agentic ai, llms | 2w ago |
| 2. | AI Systems Weirdo (UniteGPS) South Portland, ME, United States | on-site | full-time | mid | ai systems design, route optimization, gps tracking | 2w ago |
| 3. | Software Engineering Intern (Maritime Technology Startup (Stealth)) El Segundo, California, United States | $40 – $48/hr | on-site | internship | internship | python, go, javascript | 2w ago |
| 4. | AI-Native Founding Engineer (Jobright.ai) San Francisco, California, United States | $130,000 – $170,000/yr | on-site | full-time | lead | typescript, react, sql | 2w ago |
| 5. | MLE @ Krnel (NYC, Full-Time) (krnel.ai) New York, New York, United States | on-site | full-time | mid | machine learning, devops, ci/cd | 2w ago |
| 6. | AI Builder Intern - Agentic AI (Tabhi) Austin, Texas, United States | on-site | internship | internship | agentic ai, llms, agent frameworks | 2w ago |
| 7. | Forward Deployed Engineer (Legion Intelligence) Washington DC, United States | $185,000 – $260,000/yr | on-site | full-time | mid | python, javascript, typescript | 2w ago |
| 8. | Senior Founding Engineer (Ambral) New York City, New York, United States | $185,000 – $245,000/yr | on-site | full-time | senior | typescript, nuxt, postgres | 2w ago |
| 9. | Full-Stack Engineer- Series B Ai · $200-300K + equity (Benchstack Ai) San Francisco, California, United States+1 | $200,000 – $300,000/yr | on-site | full-time | senior | react, typescript, python | 2w ago |
| 10. | Marketing Productivity Engineer (Sigma Computing) San Francisco, United States+2 | $130,000 – $165,000/yr | on-site | full-time | senior | performance marketing, growth engineering, marketing operations | 2w ago |
Applied AI Engineer | Confidential Client | NYC (In Office)
About the Company
My client is building an AI operating system for engineering services firms. Civil, MEP, and environmental engineers run a $350B industry on manual workflows, disconnected documents, and spreadsheet chaos. My client replaces that with intelligent automation and connected data across the full project lifecycle.
They are backed by Tier 1 VCs, raised $5.5M in October 2025, and secured Q2 funding at 4× their prior valuation. The company has reached $1M ARR pre-Series A and is tracking toward a Series A in April. The team is currently 8 people and scaling to 12–15 this quarter.
The Role
My client is hiring 2 Applied AI Engineers to build production-grade LLM systems embedded directly in critical infrastructure workflows.
You will:
• Design and ship LLM and RAG systems end to end
• Build structured data pipelines using Pydantic and modern validation frameworks
• Work with vector databases and optimize retrieval quality
• Integrate foundation model APIs and evaluate tradeoffs across providers
• Deploy scalable AI systems into real enterprise environments
Ideal Background
• 2–6 years building production ML or AI systems
• Deep familiarity with LLM ecosystems and agent architectures
• Experience with RAG, embeddings, and retrieval optimization
• Strong Python engineering discipline
• Comfortable operating in a high-velocity, in-office environment
Comp: $175K to $300K base + 10% bonus + 0.3% to 0.75% equity
Location: NYC, in office
The current team includes alumni from Uber, AWS, Citadel, Stanford, Columbia, MIT, BCG, Scale AI, TikTok, and former founders.
Applied AI Engineer | Confidential Client | NYC (In Office)