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
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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.
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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
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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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