Senior Applied AI Engineer

optimal • United State
Relocation
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AI Summary

Design, build, and optimize complex AI/NLP systems. Collaborate with product and design teams to integrate AI seamlessly. Work across frontend and backend technologies to deliver high-quality features.

Key Highlights
Cutting-edge AI work
Well-funded and high-growth startup
First-mover advantage in growth marketing
Key Responsibilities
Architect, evaluate, and optimize complex AI/NLP systems end-to-end
Build and iterate multi-agent AI architectures in production
Collaborate closely with product and design to integrate AI seamlessly
Technical Skills Required
Python TypeScript React NextJS GraphQL Postgres Google Cloud
Benefits & Perks
Competitive salary ($185K - $220K)
Equity
Unlimited PTO
Offsites
Health coverage
Education stipends
Nice to Have
Experience with Langchain or Semantic Kernel
Familiarity with LLM applications

Job Description


Senior Software Engineer | Applied AI | Full-Stack | San Francisco | Startup

Salary: $185K - $220K + equity | Onsite

Location: San Francisco (paid relocation available for candidates currently living elsewhere in the US)


Required Sector Experience: 3 - 6 years of applied AI engineering experience, ideally with multi-agent systems or AI orchestration projects.


🚨Please only apply if you meet this and all of the requirements above and below:🚨

  • Candidate must be currently living in the USA and legally able to work.
  • Proven experience building reliable AI-enabled systems in production (applied AI, not research).
  • Hands-on full-stack experience, delivering features end-to-end in Python, TypeScript, or similar stacks.
  • Familiar with multi-agent systems, Langchain or Semantic Kernel, and LLM applications.
  • Comfortable working 0→1 in a startup environment, shaping product and engineering practices.
  • Strong communication skills and a customer-focused mindset.


The Opportunity

Optimal has partnered exclusively with a stealth-mode startup who is solving the hardest parts of growth marketing using AI. Their platform executes high-quality campaigns at scale, delivering measurable results faster and more reliably than traditional methods.


Well-funded ($15M+) early-stage startup with rapid traction, developing an AI-driven platform that optimises growth marketing at scale, automating complex workflows. Small, high-performing team with ambitious expansion plans.


You’ll join a small, high-caliber engineering team, working across the stack to architect, build, and iterate on AI systems that directly influence customer outcomes.


The Role

  • Architect, evaluate, and optimise complex AI/NLP systems end-to-end.
  • Build and iterate multi-agent AI architectures in production.
  • Collaborate closely with product and design to integrate AI seamlessly.
  • Rapidly prototype and deliver features with high reliability and quality.
  • Work across frontend (React/NextJS/TypeScript) and backend (Python, C#, Postgres) as needed.
  • Shape engineering culture in a fast-moving, early-stage team.


Who We’re Looking For

  • 2–6 years experience in applied AI with strong understanding of LLM capabilities and limitations.
  • Experience building multi-agent systems or AI orchestration pipelines.
  • Hands-on full-stack experience: Python backend, React/TypeScript frontend, GraphQL, and cloud deployment (Google Cloud).
  • Thrives in ambiguity, ownership, and fast-paced early-stage environments.
  • Passionate about quality-first engineering, building reliable and scalable AI products.
  • Computer Science degree preferred


Why This Role

  • Cutting-edge AI work: Build AI systems that deliver outcomes at scale, not just demos.
  • Well-funded and high-growth: $15M+ raised, with rapid traction and ambitious expansion plans.
  • First-mover advantage: Be part of the first team automating complex marketing workflows with AI.
  • In-person culture & flexibility: Energetic San Francisco office with paid relocation for US-based candidates.
  • Quality-focused engineering: Work in a team that values reliability, craftsmanship, and impact.
  • Great benefits package: Competitive salary, equity, unlimited PTO, offsites, health coverage, and education stipends.


If this sounds like you and you want to be part of something special, reach out to us for a prompt response.


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